rosetta.core.scoring.dna
index
(built-in)

Bindings for core::scoring::dna namespace

 
Classes
       
builtins.object
DNABFormPotential
DNATorsionPotential
DNA_BasePotential
DNA_DihedralPotential
DNA_EnvPairPotential
DirectReadoutPotential
TorsionFourierComponent
rosetta.basic.datacache.CacheableData(builtins.object)
BasePartner
rosetta.core.scoring.methods.ContextIndependentOneBodyEnergy(rosetta.core.scoring.methods.OneBodyEnergy)
DNAChiEnergy
rosetta.core.scoring.methods.ContextIndependentTwoBodyEnergy(rosetta.core.scoring.methods.ShortRangeTwoBodyEnergy)
DNATorsionEnergy
rosetta.core.scoring.methods.EnergyMethodCreator(builtins.object)
DNAChiEnergyCreator
DNATorsionEnergyCreator

 
class BasePartner(rosetta.basic.datacache.CacheableData)
    silly vector1 wrapper class so we can derive from PoseCachedData
 
 
Method resolution order:
BasePartner
rosetta.basic.datacache.CacheableData
builtins.object

Methods defined here:
__getitem__(...) from builtins.PyCapsule
__getitem__(*args, **kwargs)
Overloaded function.
 
1. __getitem__(self : rosetta.core.scoring.dna.BasePartner, pos : int) -> int
 
2. __getitem__(self : rosetta.core.scoring.dna.BasePartner, pos : int) -> int
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(self : handle, partner_in : rosetta.utility.vector1_unsigned_long) -> NoneType
 
2. __init__(handle, rosetta.core.scoring.dna.BasePartner) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.core.scoring.dna.BasePartner,  : rosetta.core.scoring.dna.BasePartner) -> rosetta.core.scoring.dna.BasePartner
clone(...) from builtins.PyCapsule
clone(rosetta.core.scoring.dna.BasePartner) -> rosetta.basic.datacache.CacheableData
resize(...) from builtins.PyCapsule
resize(self : rosetta.core.scoring.dna.BasePartner, size_ : int) -> NoneType
size(...) from builtins.PyCapsule
size(rosetta.core.scoring.dna.BasePartner) -> int

Methods inherited from rosetta.basic.datacache.CacheableData:
get_self_ptr(...) from builtins.PyCapsule
get_self_ptr(*args, **kwargs)
Overloaded function.
 
1. get_self_ptr(rosetta.basic.datacache.CacheableData) -> rosetta.basic.datacache.CacheableData
 
self pointers
 
2. get_self_ptr(rosetta.basic.datacache.CacheableData) -> rosetta.basic.datacache.CacheableData
get_self_weak_ptr(...) from builtins.PyCapsule
get_self_weak_ptr(*args, **kwargs)
Overloaded function.
 
1. get_self_weak_ptr(rosetta.basic.datacache.CacheableData) -> rosetta.std.weak_ptr_const_basic_datacache_CacheableData_t
 
2. get_self_weak_ptr(rosetta.basic.datacache.CacheableData) -> rosetta.std.weak_ptr_basic_datacache_CacheableData_t

 
class DNABFormPotential(builtins.object)
     Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(rosetta.core.scoring.dna.DNABFormPotential) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.core.scoring.dna.DNABFormPotential,  : rosetta.core.scoring.dna.DNABFormPotential) -> rosetta.core.scoring.dna.DNABFormPotential
eval_dna_bform_bb_torsion_score_residue(...) from builtins.PyCapsule
eval_dna_bform_bb_torsion_score_residue(self : rosetta.core.scoring.dna.DNABFormPotential, res : rosetta.core.conformation.Residue, score : float, dscore_dchi : float, torsion_id : int) -> NoneType
eval_dna_bform_chi_torsion_score_residue(...) from builtins.PyCapsule
eval_dna_bform_chi_torsion_score_residue(self : rosetta.core.scoring.dna.DNABFormPotential, res : rosetta.core.conformation.Residue, score : float, dscore_dchi : float) -> NoneType

 
class DNAChiEnergy(rosetta.core.scoring.methods.ContextIndependentOneBodyEnergy)
    
Method resolution order:
DNAChiEnergy
rosetta.core.scoring.methods.ContextIndependentOneBodyEnergy
rosetta.core.scoring.methods.OneBodyEnergy
rosetta.core.scoring.methods.EnergyMethod
builtins.object

Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(handle) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
clone(...) from builtins.PyCapsule
clone(rosetta.core.scoring.dna.DNAChiEnergy) -> rosetta.core.scoring.methods.EnergyMethod
 
clone
eval_dof_derivative(...) from builtins.PyCapsule
eval_dof_derivative(self : rosetta.core.scoring.dna.DNAChiEnergy, dof_id : rosetta.core.id.DOF_ID, tor_id : rosetta.core.id.TorsionID, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, weights : rosetta.core.scoring.EMapVector) -> float
indicate_required_context_graphs(...) from builtins.PyCapsule
indicate_required_context_graphs(self : rosetta.core.scoring.dna.DNAChiEnergy,  : rosetta.utility.vector1_bool) -> NoneType
 
DunbrackEnergy is context independent; indicates that no
 context graphs are required
residue_energy(...) from builtins.PyCapsule
residue_energy(self : rosetta.core.scoring.dna.DNAChiEnergy, rsd : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, emap : rosetta.core.scoring.EMapVector) -> NoneType
 
//////////////////////////////////////////////////////////////////////////
version(...) from builtins.PyCapsule
version(rosetta.core.scoring.dna.DNAChiEnergy) -> int

Methods inherited from rosetta.core.scoring.methods.ContextIndependentOneBodyEnergy:
assign(...) from builtins.PyCapsule
assign(self : rosetta.core.scoring.methods.ContextIndependentOneBodyEnergy,  : rosetta.core.scoring.methods.ContextIndependentOneBodyEnergy) -> rosetta.core.scoring.methods.ContextIndependentOneBodyEnergy
method_type(...) from builtins.PyCapsule
method_type(rosetta.core.scoring.methods.ContextIndependentOneBodyEnergy) -> rosetta.core.scoring.methods.EnergyMethodType
 
Returns the ci_1b element of the EnergyMethodType enumeration; this
 method should NOT be overridden by derived classes.

Methods inherited from rosetta.core.scoring.methods.OneBodyEnergy:
defines_dof_derivatives(...) from builtins.PyCapsule
defines_dof_derivatives(self : rosetta.core.scoring.methods.OneBodyEnergy, p : rosetta.core.pose.Pose) -> bool
 
Use the dof_derivative interface for this energy method when
 calculating derivatives?  It is possible to define both dof_derivatives and
 atom-derivatives; they are not mutually exclusive.
defines_score_for_residue(...) from builtins.PyCapsule
defines_score_for_residue(self : rosetta.core.scoring.methods.OneBodyEnergy,  : rosetta.core.conformation.Residue) -> bool
 
During minimization, energy methods are allowed to decide that they say nothing
 about a particular residue (e.g. no non-zero energy) and as a result they will not be queried for
 a derivative or an energy.  The default behavior is to return "true" for all residues.
eval_residue_derivatives(...) from builtins.PyCapsule
eval_residue_derivatives(self : rosetta.core.scoring.methods.OneBodyEnergy, rsd : rosetta.core.conformation.Residue, min_data : core::scoring::ResSingleMinimizationData, pose : rosetta.core.pose.Pose, weights : rosetta.core.scoring.EMapVector, atom_derivs : rosetta.utility.vector1_core_scoring_DerivVectorPair) -> NoneType
 
Evaluate the derivatives for all atoms on this residue and increment them
 into the input atom_derivs vector1.  The calling function must guarantee that
 setup for derivatives is called before this function is, and that the atom_derivs
 vector contains at least as many entries as there are atoms in the input Residue.
 This base class provides a default noop implementation of this function.
eval_residue_dof_derivative(...) from builtins.PyCapsule
eval_residue_dof_derivative(self : rosetta.core.scoring.methods.OneBodyEnergy, rsd : rosetta.core.conformation.Residue, min_data : core::scoring::ResSingleMinimizationData, dof_id : rosetta.core.id.DOF_ID, torsion_id : rosetta.core.id.TorsionID, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, weights : rosetta.core.scoring.EMapVector) -> float
 
Evaluate the DOF derivative for a particular residue.  The Pose merely serves as context,
 and the input residue is not required to be a member of the Pose.
requires_a_setup_for_derivatives_for_residue_opportunity(...) from builtins.PyCapsule
requires_a_setup_for_derivatives_for_residue_opportunity(self : rosetta.core.scoring.methods.OneBodyEnergy, pose : rosetta.core.pose.Pose) -> bool
 
Does this EnergyMethod require the opportunity to examine the residue before derivative evaluation begins?  Not
 all energy methods would.  The ScoreFunction will not ask energy methods to examine residues that are uninterested
 in doing so.
requires_a_setup_for_scoring_for_residue_opportunity(...) from builtins.PyCapsule
requires_a_setup_for_scoring_for_residue_opportunity(self : rosetta.core.scoring.methods.OneBodyEnergy, pose : rosetta.core.pose.Pose) -> bool
 
Does this EnergyMethod require the opportunity to examine the residue before scoring begins?  Not
 all energy methods would.  The ScoreFunction will not ask energy methods to examine residues that are uninterested
 in doing so.
residue_energy_ext(...) from builtins.PyCapsule
residue_energy_ext(self : rosetta.core.scoring.methods.OneBodyEnergy, rsd : rosetta.core.conformation.Residue, min_data : core::scoring::ResSingleMinimizationData, pose : rosetta.core.pose.Pose, emap : rosetta.core.scoring.EMapVector) -> NoneType
 
Evaluate the one-body energies for a particular residue, in the context of a
 given Pose, and with the help of a piece of cached data for minimization, increment those
 one body energies into the input EnergyMap.  The calling function must guarantee that this
 EnergyMethod has had the opportunity to update the input ResSingleMinimizationData object
 for the given residue in a call to setup_for_minimizing_for_residue before this function is
 invoked. This function should not be called unless the use_extended_residue_energy_interface()
 method returns "true".  Default implementation provided by this base class calls
 utility::exit(). The Pose merely serves as context, and the input residue is not required
 to be a member of the Pose.
setup_for_derivatives_for_residue(...) from builtins.PyCapsule
setup_for_derivatives_for_residue(self : rosetta.core.scoring.methods.OneBodyEnergy, rsd : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, min_data : core::scoring::ResSingleMinimizationData) -> NoneType
 
Do any setup work necessary before evaluating the derivatives for this residue
setup_for_minimizing_for_residue(...) from builtins.PyCapsule
setup_for_minimizing_for_residue(self : rosetta.core.scoring.methods.OneBodyEnergy, rsd : rosetta.core.conformation.Residue,  : rosetta.core.pose.Pose,  : rosetta.core.scoring.ScoreFunction,  : rosetta.core.kinematics.MinimizerMapBase,  : core::scoring::ResSingleMinimizationData) -> NoneType
 
Called at the beginning of minimization, allowing this energy method to cache data
 pertinent for a single residue in the the ResSingleMinimizationData that is used for a
 particular residue in the context of a particular Pose.  This base class provides a noop
 implementation for this function if there is nothing that the derived class needs to perform
 in this setup phase.   The Pose merely serves as context, and the input residue is not
 required to be a member of the Pose.
setup_for_scoring_for_residue(...) from builtins.PyCapsule
setup_for_scoring_for_residue(self : rosetta.core.scoring.methods.OneBodyEnergy, rsd : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, min_data : core::scoring::ResSingleMinimizationData) -> NoneType
 
Do any setup work should the coordinates of this residue, who is still guaranteed to be
 of the same residue type as when setup_for_minimizing_for_residue was called, have changed so dramatically
 as to possibly require some amount of setup work before scoring should proceed
use_extended_residue_energy_interface(...) from builtins.PyCapsule
use_extended_residue_energy_interface(rosetta.core.scoring.methods.OneBodyEnergy) -> bool
 
Rely on the extended version of the residue_energy function during score-function
 evaluation in minimization? The extended version (below) takes a ResSingleMinimizationData.
 Return 'true' for the extended version.  The default method implemented in this class returns 'false'

Methods inherited from rosetta.core.scoring.methods.EnergyMethod:
defines_high_order_terms(...) from builtins.PyCapsule
defines_high_order_terms(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose) -> bool
 
Should this EnergyMethod have score and derivative evaluation
 evaluated both in the context of the whole Pose and in the context
 of residue or residue-pairs?  This covers scoring terms like env-smooth
 wherein the CBeta's get derivatives for increasing the neighbor counts
 for surrounding residues, and terms like constraints, which are definable
 on arbitrary number of residues (e.g. more than 2); both of these terms
 could be used in RTMin, and both should use the residue and residue-pair
 evaluation scheme with the MinimizationGraph for the majority of the
 work they do.  (Now, high-order constraints (3-body or above) will not
 be properly evaluated within RTMin.).  The default implementation
 returns "false".
eval_atom_derivative(...) from builtins.PyCapsule
eval_atom_derivative(self : rosetta.core.scoring.methods.EnergyMethod, id : rosetta.core.id.AtomID, pose : rosetta.core.pose.Pose, domain_map : ObjexxFCL::FArray1D<int>, sfxn : rosetta.core.scoring.ScoreFunction, emap : rosetta.core.scoring.EMapVector, F1 : rosetta.numeric.xyzVector_double_t, F2 : rosetta.numeric.xyzVector_double_t) -> NoneType
 
Evaluate the XYZ derivative for an atom in the pose.
 Called during the atomtree derivative calculation, atom_tree_minimize.cc,
 through the ScoreFunction::eval_atom_derivative intermediary.
 F1 and F2 should not zeroed, rather, this class should accumulate its contribution
 from this atom's XYZ derivative
 
 
 The derivative scheme is based on that of Abe, Braun, Noguti and Go (1984)
 "Rapid Calculation of First and Second Derivatives of Conformational Energy with
 Respect to Dihedral Angles for Proteins. General Recurrent Equations"
 Computers & Chemistry 8(4) pp. 239-247. F1 and F2 correspond roughly to Fa and Ga,
 respectively, of equations 7a & 7b in that paper.
finalize_after_derivatives(...) from builtins.PyCapsule
finalize_after_derivatives(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose,  : rosetta.core.scoring.ScoreFunction) -> NoneType
 
called at the end of derivatives evaluation
finalize_total_energy(...) from builtins.PyCapsule
finalize_total_energy(self : rosetta.core.scoring.methods.EnergyMethod, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, total_energy : rosetta.core.scoring.EMapVector) -> NoneType
 
called by the ScoreFunction at the end of energy evaluation.
 The derived class has the opportunity to accumulate a score
 into the pose's total_energy EnergyMap.  WholeStructure energies
 operate within this method; any method using a NeighborList during
 minimization would also operate within this function call.
minimize_in_whole_structure_context(...) from builtins.PyCapsule
minimize_in_whole_structure_context(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose) -> bool
 
Should this EnergyMethod have score and derivative evaluation
 evaluated only in the context of the whole Pose, or can it be included
 in a decomposed manner for a residue or a set of residue-pairs that are
 not part of the Pose that's serving as their context?  The default
 method implemented in the base class returns true in order to grandfather
 in EnergyMethods that have not had their derivatives changed to take
 advantage of the new derivative-evaluation machinery.  Methods that return
 "true" will not have their residue-energy(-ext) / residue-pair-energy(-ext)
 methods invoked by the ScoreFunction during its traversal of the
 MinimizationGraph, and instead will be asked to perform all their work
 during finalize_total_energies().  Similarly, they will be expected to
 perform all their work during eval_atom_deriv() instead of during the
 ScoreFunction's traversal of the MinimizationGraph for derivative evaluation.
 IMPORTANT: Methods that return "true" cannot be included in RTMin.
prepare_rotamers_for_packing(...) from builtins.PyCapsule
prepare_rotamers_for_packing(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose,  : rosetta.core.conformation.RotamerSetBase) -> NoneType
 
If an energy method needs to cache data in a packing::RotamerSet object before
 rotamer energies are calculated, it does so during this function. The packer
 must ensure this function is called. The default behavior is to do nothing.
score_types(...) from builtins.PyCapsule
score_types(rosetta.core.scoring.methods.EnergyMethod) -> rosetta.utility.vector1_core_scoring_ScoreType
 
Returns the score types that this energy method computes.
setup_for_derivatives(...) from builtins.PyCapsule
setup_for_derivatives(self : rosetta.core.scoring.methods.EnergyMethod, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction) -> NoneType
 
Called immediately before atom- and DOF-derivatives are calculated
 allowing the derived class a chance to prepare for future calls.
setup_for_minimizing(...) from builtins.PyCapsule
setup_for_minimizing(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose,  : rosetta.core.scoring.ScoreFunction,  : rosetta.core.kinematics.MinimizerMapBase) -> NoneType
 
Called at the beginning of atom tree minimization, this method
 allows the derived class the opportunity to initialize pertinent data
 that will be used during minimization.  During minimzation, the chemical
 structure of the pose is constant, so assumptions on the number of atoms
 per residue and their identities are safe so long as the pose's Energies
 object's "use_nblist()" method returns true.
setup_for_packing(...) from builtins.PyCapsule
setup_for_packing(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose,  : rosetta.utility.vector1_bool,  : rosetta.utility.vector1_bool) -> NoneType
 
if an energy method needs to cache data in the Energies object,
 before packing begins, then it does so during this function. The packer
 must ensure this function is called. The default behavior is to do nothing.
setup_for_scoring(...) from builtins.PyCapsule
setup_for_scoring(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose,  : rosetta.core.scoring.ScoreFunction) -> NoneType
 
if an energy method needs to cache something in the pose (e.g. in pose.energies()),
 before scoring begins, it must do so in this method.  All long range energy
 functions must initialize their LREnergyContainers before scoring begins.
 The default is to do nothing.
update_residue_for_packing(...) from builtins.PyCapsule
update_residue_for_packing(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose, resid : int) -> NoneType
 
If the pose changes in the middle of a packing (as happens in rotamer trials) and if
 an energy method needs to cache data in the pose that corresponds to its current state,
 then the method must update that data when this function is called.  The packer must
 ensure this function gets called.  The default behavior is to do nothing.

 
class DNAChiEnergyCreator(rosetta.core.scoring.methods.EnergyMethodCreator)
    
Method resolution order:
DNAChiEnergyCreator
rosetta.core.scoring.methods.EnergyMethodCreator
builtins.object

Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(handle) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.core.scoring.dna.DNAChiEnergyCreator,  : rosetta.core.scoring.dna.DNAChiEnergyCreator) -> rosetta.core.scoring.dna.DNAChiEnergyCreator
create_energy_method(...) from builtins.PyCapsule
create_energy_method(self : rosetta.core.scoring.dna.DNAChiEnergyCreator,  : rosetta.core.scoring.methods.EnergyMethodOptions) -> rosetta.core.scoring.methods.EnergyMethod
 
Instantiate a new DNA_BaseEnergy
score_types_for_method(...) from builtins.PyCapsule
score_types_for_method(rosetta.core.scoring.dna.DNAChiEnergyCreator) -> rosetta.utility.vector1_core_scoring_ScoreType
 
Return the set of score types claimed by the EnergyMethod
 this EnergyMethodCreator creates in its create_energy_method() function

 
class DNATorsionEnergy(rosetta.core.scoring.methods.ContextIndependentTwoBodyEnergy)
    
Method resolution order:
DNATorsionEnergy
rosetta.core.scoring.methods.ContextIndependentTwoBodyEnergy
rosetta.core.scoring.methods.ShortRangeTwoBodyEnergy
rosetta.core.scoring.methods.TwoBodyEnergy
rosetta.core.scoring.methods.EnergyMethod
builtins.object

Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(handle) -> NoneType
 
2. __init__(handle, rosetta.core.scoring.dna.DNATorsionEnergy) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
atomic_interaction_cutoff(...) from builtins.PyCapsule
atomic_interaction_cutoff(rosetta.core.scoring.dna.DNATorsionEnergy) -> float
clone(...) from builtins.PyCapsule
clone(rosetta.core.scoring.dna.DNATorsionEnergy) -> rosetta.core.scoring.methods.EnergyMethod
 
clone
defines_intrares_energy(...) from builtins.PyCapsule
defines_intrares_energy(self : rosetta.core.scoring.dna.DNATorsionEnergy,  : rosetta.core.scoring.EMapVector) -> bool
defines_residue_pair_energy(...) from builtins.PyCapsule
defines_residue_pair_energy(self : rosetta.core.scoring.dna.DNATorsionEnergy,  : rosetta.core.scoring.EMapVector) -> bool
eval_atom_derivative(...) from builtins.PyCapsule
eval_atom_derivative(self : rosetta.core.scoring.dna.DNATorsionEnergy, id : rosetta.core.id.AtomID, pose : rosetta.core.pose.Pose,  : ObjexxFCL::FArray1D<int>, sfxn : rosetta.core.scoring.ScoreFunction, weights : rosetta.core.scoring.EMapVector, F1 : rosetta.numeric.xyzVector_double_t, F2 : rosetta.numeric.xyzVector_double_t) -> NoneType
 
called during gradient-based minimization inside dfunc
 
        F1 and F2 are not zeroed -- contributions from this atom are
        just summed in
eval_dof_derivative(...) from builtins.PyCapsule
eval_dof_derivative(self : rosetta.core.scoring.dna.DNATorsionEnergy, id : rosetta.core.id.DOF_ID, tor : rosetta.core.id.TorsionID, pose : rosetta.core.pose.Pose, scorefxn : rosetta.core.scoring.ScoreFunction, weights : rosetta.core.scoring.EMapVector) -> float
 
uses the dof constraints
eval_intrares_energy(...) from builtins.PyCapsule
eval_intrares_energy(self : rosetta.core.scoring.dna.DNATorsionEnergy, rsd : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, emap : rosetta.core.scoring.EMapVector) -> NoneType
 
Evaluate the intra-residue constraint energy for a given residue
finalize_after_derivatives(...) from builtins.PyCapsule
finalize_after_derivatives(self : rosetta.core.scoring.dna.DNATorsionEnergy, pose : rosetta.core.pose.Pose,  : rosetta.core.scoring.ScoreFunction) -> NoneType
 
called at the end of energy evaluation
finalize_total_energy(...) from builtins.PyCapsule
finalize_total_energy(self : rosetta.core.scoring.dna.DNATorsionEnergy, pose : rosetta.core.pose.Pose,  : rosetta.core.scoring.ScoreFunction, totals : rosetta.core.scoring.EMapVector) -> NoneType
 
called at the end of energy evaluation
indicate_required_context_graphs(...) from builtins.PyCapsule
indicate_required_context_graphs(self : rosetta.core.scoring.dna.DNATorsionEnergy,  : rosetta.utility.vector1_bool) -> NoneType
residue_pair_energy(...) from builtins.PyCapsule
residue_pair_energy(self : rosetta.core.scoring.dna.DNATorsionEnergy, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose,  : rosetta.core.scoring.ScoreFunction, emap : rosetta.core.scoring.EMapVector) -> NoneType
setup_for_derivatives(...) from builtins.PyCapsule
setup_for_derivatives(self : rosetta.core.scoring.dna.DNATorsionEnergy, pose : rosetta.core.pose.Pose, scfxn : rosetta.core.scoring.ScoreFunction) -> NoneType
setup_for_scoring(...) from builtins.PyCapsule
setup_for_scoring(self : rosetta.core.scoring.dna.DNATorsionEnergy, pose : rosetta.core.pose.Pose, scfxn : rosetta.core.scoring.ScoreFunction) -> NoneType
 
//////////////////////////////////////////////////////////////////////////
version(...) from builtins.PyCapsule
version(rosetta.core.scoring.dna.DNATorsionEnergy) -> int

Methods inherited from rosetta.core.scoring.methods.ContextIndependentTwoBodyEnergy:
assign(...) from builtins.PyCapsule
assign(self : rosetta.core.scoring.methods.ContextIndependentTwoBodyEnergy,  : rosetta.core.scoring.methods.ContextIndependentTwoBodyEnergy) -> rosetta.core.scoring.methods.ContextIndependentTwoBodyEnergy
method_type(...) from builtins.PyCapsule
method_type(rosetta.core.scoring.methods.ContextIndependentTwoBodyEnergy) -> rosetta.core.scoring.methods.EnergyMethodType

Methods inherited from rosetta.core.scoring.methods.ShortRangeTwoBodyEnergy:
divides_backbone_and_sidechain_energetics(...) from builtins.PyCapsule
divides_backbone_and_sidechain_energetics(rosetta.core.scoring.methods.ShortRangeTwoBodyEnergy) -> bool
 
A derived class should return true for this function if it implements its own
 versions of the backbone_backbone_energy, backbone_sidechain_energy and
 sidechain_sidechain_energy functions.  The default sidechain_sidechain_energy implemented
 by the TwoBodyEnergy base class calls residue_pair_energy.  If the derived class implements its own
 versions of these functions, then calling code may avoid calling it on pairs of residues
 that are "provably distant" based on a pair of bounding spheres for a sidechains and
 backbones and this method's atomic_interaction_cutoff energy method.
evaluate_rotamer_background_energies(...) from builtins.PyCapsule
evaluate_rotamer_background_energies(self : rosetta.core.scoring.methods.ShortRangeTwoBodyEnergy, set : rosetta.core.conformation.RotamerSetBase, residue : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, weights : rosetta.core.scoring.EMapVector, energy_vector : rosetta.utility.vector1_float) -> NoneType
 
Batch computation of rotamer/background energies.  Need not be overriden
 in derived class -- by default, iterates over all rotamers in the set, and calls
 derived class's residue_pair_energy method for each one against the background rotamer
 Since short range rotamer pairs may not need calculation, the default method
 looks at blocks of residue type pairs and only calls the residue_pair_energy method
 if the rotamer pairs are within range
evaluate_rotamer_background_energy_maps(...) from builtins.PyCapsule
evaluate_rotamer_background_energy_maps(self : rosetta.core.scoring.methods.ShortRangeTwoBodyEnergy, set : rosetta.core.conformation.RotamerSetBase, residue : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, weights : rosetta.core.scoring.EMapVector, emaps : rosetta.utility.vector1_core_scoring_EMapVector) -> NoneType
 
Batch computation of rotamer/background energies.  Need not be overriden
 in derived class -- by default, iterates over all rotamers in the set, and calls
 derived class's residue_pair_energy method for each one against the background rotamer
 Since short range rotamer pairs may not need calculation, the default method
 looks at blocks of residue type pairs and only calls the residue_pair_energy method
 if the rotamer pairs are within range
evaluate_rotamer_pair_energies(...) from builtins.PyCapsule
evaluate_rotamer_pair_energies(self : rosetta.core.scoring.methods.ShortRangeTwoBodyEnergy, set1 : rosetta.core.conformation.RotamerSetBase, set2 : rosetta.core.conformation.RotamerSetBase, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, weights : rosetta.core.scoring.EMapVector, energy_table : ObjexxFCL::FArray2D<float>) -> NoneType
 
Batch computation of rotamer pair energies.  Need not be overriden in
 derived class -- by default, iterates over all pairs of rotamers,
 and calls derived class's residue_pair_energy method.  Since short range rotamer pairs
 may not need calculation, the default method looks at blocks of residue type pairs
 and only calls the residue_pair_energy method if the rotamer pairs are within range

Methods inherited from rosetta.core.scoring.methods.TwoBodyEnergy:
backbone_backbone_energy(...) from builtins.PyCapsule
backbone_backbone_energy(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, emap : rosetta.core.scoring.EMapVector) -> NoneType
 
Evaluate the interaction between the backbone of rsd1 and the
 backbone of rsd2 and accumulate the unweighted energies.  The sum
 bb_bb(r1,r2) + bb_sc(r1,r2) + bb_sc(r2,r1) + sc_sc( r1,r2) must
 equal the weighted result of a call to residue_pair_energy.
 By default, bb_bb & bb_sc return 0 and sc_sc returns
 residue pair energy.
backbone_sidechain_energy(...) from builtins.PyCapsule
backbone_sidechain_energy(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, emap : rosetta.core.scoring.EMapVector) -> NoneType
 
Evaluate the interaction between the backbone of rsd1 and the
 sidechain of rsd2 and accumulate the unweighted energies.  The sum
 bb_bb(r1,r2) + bb_sc(r1,r2) + bb_sc(r2,r1) + sc_sc( r1,r2) must
 equal the unweighted result of a call to residue_pair_energy.
 By default, bb_bb & bb_sc return 0 and sc_sc returns
 residue pair energy.
bump_energy_backbone(...) from builtins.PyCapsule
bump_energy_backbone(self : rosetta.core.scoring.methods.TwoBodyEnergy,  : rosetta.core.conformation.Residue,  : rosetta.core.conformation.Residue,  : rosetta.core.pose.Pose,  : rosetta.core.scoring.ScoreFunction,  : rosetta.core.scoring.EMapVector) -> NoneType
bump_energy_full(...) from builtins.PyCapsule
bump_energy_full(self : rosetta.core.scoring.methods.TwoBodyEnergy,  : rosetta.core.conformation.Residue,  : rosetta.core.conformation.Residue,  : rosetta.core.pose.Pose,  : rosetta.core.scoring.ScoreFunction,  : rosetta.core.scoring.EMapVector) -> NoneType
defines_intrares_dof_derivatives(...) from builtins.PyCapsule
defines_intrares_dof_derivatives(self : rosetta.core.scoring.methods.TwoBodyEnergy, p : rosetta.core.pose.Pose) -> bool
 
Use the dof_derivative interface for this energy method when
 calculating derivatives?  It is possible to define both dof_derivatives and
 atom-derivatives; they are not mutually exclusive.
defines_intrares_energy_for_residue(...) from builtins.PyCapsule
defines_intrares_energy_for_residue(self : rosetta.core.scoring.methods.TwoBodyEnergy, res : rosetta.core.conformation.Residue) -> bool
 
If a score function defines no intra-residue scores for a particular
 residue, then it may opt-out of being asked during minimization to evaluate
 the score for this residue.
defines_score_for_residue_pair(...) from builtins.PyCapsule
defines_score_for_residue_pair(self : rosetta.core.scoring.methods.TwoBodyEnergy, res1 : rosetta.core.conformation.Residue, res2 : rosetta.core.conformation.Residue, res_moving_wrt_eachother : bool) -> bool
 
During minimization, energy methods are allowed to decide that they say nothing
 about a particular residue pair (e.g. no non-zero energy) and as a result they will not be queried for
 a derivative or an energy.  The default implementation returns "true" for all residue pairs.
 Context-dependent two-body energies have the option of behaving as if they are context-independent
 by returning "false" for residue pairs that do no move wrt each other.
eval_intrares_derivatives(...) from builtins.PyCapsule
eval_intrares_derivatives(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd : rosetta.core.conformation.Residue, min_data : rosetta.core.scoring.ResSingleMinimizationData, pose : rosetta.core.pose.Pose, weights : rosetta.core.scoring.EMapVector, atom_derivs : rosetta.utility.vector1_core_scoring_DerivVectorPair) -> NoneType
 
Evaluate the derivative for the intra-residue component of this energy method
 for all the atoms in a residue in the context of a particular pose,
 and increment the F1 and F2 vectors held in the atom_derivs vector1.
 This base class provides a default noop implementation
 of this function. The calling function must guarantee that this EnergyMethod has had the
 opportunity to update the input ResSingleMinimizationData object for the given residue
 in a call to prepare_for_minimization before this function is invoked.
 The calling function must also guarantee that there are at least as many entries
 in the atom_derivs vector1 as there are atoms in the input rsd.
eval_intrares_energy_ext(...) from builtins.PyCapsule
eval_intrares_energy_ext(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd : rosetta.core.conformation.Residue, data_cache : rosetta.core.scoring.ResSingleMinimizationData, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, emap : rosetta.core.scoring.EMapVector) -> NoneType
 
Evaluate the intra-residue energy for a given residue using the data held within the
 ResSingleMinimizationData object.  This function should be invoked only on derived instances
 of this class if they return "true" in a call to their use_extended_intrares_energy_interface
 method.  This base class provides a noop implementation for classes that do not implement this
 interface, or that do not define intrares energies.
eval_intraresidue_dof_derivative(...) from builtins.PyCapsule
eval_intraresidue_dof_derivative(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd : rosetta.core.conformation.Residue, min_data : rosetta.core.scoring.ResSingleMinimizationData, dof_id : rosetta.core.id.DOF_ID, torsion_id : rosetta.core.id.TorsionID, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, weights : rosetta.core.scoring.EMapVector) -> float
 
Evaluate the DOF derivative for a particular residue.  The Pose merely serves as context,
 and the input residue is not required to be a member of the Pose.
eval_residue_pair_derivatives(...) from builtins.PyCapsule
eval_residue_pair_derivatives(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue,  : rosetta.core.scoring.ResSingleMinimizationData,  : rosetta.core.scoring.ResSingleMinimizationData, min_data : rosetta.core.scoring.ResPairMinimizationData, pose : rosetta.core.pose.Pose, weights : rosetta.core.scoring.EMapVector, r1_atom_derivs : rosetta.utility.vector1_core_scoring_DerivVectorPair, r2_atom_derivs : rosetta.utility.vector1_core_scoring_DerivVectorPair) -> NoneType
 
Evaluate the derivatives for all atoms on rsd1 and rsd2 with respect
 to each other and increment the derivatives in atom-derivatives vector1s.
 The calling function must guarantee that the r1_atom_derivs vector1 holds at
 least as many entries as there are atoms in rsd1, and that the r2_atom_derivs
 vector1 holds at least as many entries as there are atoms in rsd2.
evaluate_rotamer_intrares_energies(...) from builtins.PyCapsule
evaluate_rotamer_intrares_energies(self : rosetta.core.scoring.methods.TwoBodyEnergy, set : rosetta.core.conformation.RotamerSetBase, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, energies : rosetta.utility.vector1_float) -> NoneType
 
Batch computation of rotamer intrares energies.  Need not be overriden in
 derived class -- by default, iterates over all rotamers,
 and calls derived class's intrares _energy method.
evaluate_rotamer_intrares_energy_maps(...) from builtins.PyCapsule
evaluate_rotamer_intrares_energy_maps(self : rosetta.core.scoring.methods.TwoBodyEnergy, set : rosetta.core.conformation.RotamerSetBase, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, emaps : rosetta.utility.vector1_core_scoring_EMapVector) -> NoneType
 
Batch computation of rotamer intrares energy map.  Need not be overriden in
 derived class -- by default, iterates over all rotamers,
 and calls derived class's intrares _energy method.
requires_a_setup_for_derivatives_for_residue_opportunity(...) from builtins.PyCapsule
requires_a_setup_for_derivatives_for_residue_opportunity(self : rosetta.core.scoring.methods.TwoBodyEnergy, pose : rosetta.core.pose.Pose) -> bool
 
Does this EnergyMethod require the opportunity to examine each residue before derivative evaluation begins?  Not
 all energy methods would.  The ScoreFunction will not ask energy methods to examine residue pairs that are uninterested
 in doing so.
requires_a_setup_for_derivatives_for_residue_pair_opportunity(...) from builtins.PyCapsule
requires_a_setup_for_derivatives_for_residue_pair_opportunity(self : rosetta.core.scoring.methods.TwoBodyEnergy, pose : rosetta.core.pose.Pose) -> bool
 
Does this EnergyMethod require the opportunity to examine each residue pair before derivative evaluation begins?  Not
 all energy methods would.  The ScoreFunction will not ask energy methods to examine residue pairs that are uninterested
 in doing so.
requires_a_setup_for_scoring_for_residue_opportunity(...) from builtins.PyCapsule
requires_a_setup_for_scoring_for_residue_opportunity(self : rosetta.core.scoring.methods.TwoBodyEnergy, pose : rosetta.core.pose.Pose) -> bool
 
Does this EnergyMethod require the opportunity to examine the residue before scoring begins?  Not
 all energy methods would.  The ScoreFunction will not ask energy methods to examine residues that are uninterested
 in doing so.
requires_a_setup_for_scoring_for_residue_pair_opportunity(...) from builtins.PyCapsule
requires_a_setup_for_scoring_for_residue_pair_opportunity(self : rosetta.core.scoring.methods.TwoBodyEnergy, pose : rosetta.core.pose.Pose) -> bool
 
Does this EnergyMethod require the opportunity to examine each residue pair before scoring begins?  Not
 all energy methods would.  The ScoreFunction will not ask energy methods to examine residue pairs that are uninterested
 in doing so.
residue_pair_energy_ext(...) from builtins.PyCapsule
residue_pair_energy_ext(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, min_data : rosetta.core.scoring.ResPairMinimizationData, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, emap : rosetta.core.scoring.EMapVector) -> NoneType
 
Evaluate the two-body energies for a particular residue, in the context of a
 given Pose, and with the help of a piece of cached data for minimization, increment those
 two body energies into the input EnergyMap.  The calling function must guarantee that this
 EnergyMethod has had the opportunity to update the input ResPairMinimizationData object
 for the given residues in a call to setup_for_minimizing_for_residue_pair before this function is
 invoked. This function should not be called unless the use_extended_residue_pair_energy_interface()
 method returns "true".  Default implementation provided by this base class calls
 utility::exit().
setup_for_derivatives_for_residue(...) from builtins.PyCapsule
setup_for_derivatives_for_residue(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, min_data : rosetta.core.scoring.ResSingleMinimizationData) -> NoneType
 
Do any setup work necessary before evaluating the derivatives for this residue
setup_for_derivatives_for_residue_pair(...) from builtins.PyCapsule
setup_for_derivatives_for_residue_pair(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, minsingle_data1 : rosetta.core.scoring.ResSingleMinimizationData, minsingle_data2 : rosetta.core.scoring.ResSingleMinimizationData, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, data_cache : rosetta.core.scoring.ResPairMinimizationData) -> NoneType
 
Do any setup work necessary before evaluating the derivatives for this residue pair
setup_for_minimizing_for_residue(...) from builtins.PyCapsule
setup_for_minimizing_for_residue(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, minmap : rosetta.core.kinematics.MinimizerMapBase, res_data_cache : rosetta.core.scoring.ResSingleMinimizationData) -> NoneType
 
Called at the beginning of minimization, allowing this energy method to cache data
 pertinent for a single residue in the the ResPairMinimizationData that is used for a
 particular residue in the context of a particular Pose.  This base class provides a noop
 implementation for this function if there is nothing that the derived class needs to perform
 in this setup phase.
setup_for_minimizing_for_residue_pair(...) from builtins.PyCapsule
setup_for_minimizing_for_residue_pair(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, minmap : rosetta.core.kinematics.MinimizerMapBase, res1_data_cache : rosetta.core.scoring.ResSingleMinimizationData, res2_data_cache : rosetta.core.scoring.ResSingleMinimizationData, data_cache : rosetta.core.scoring.ResPairMinimizationData) -> NoneType
 
Called at the beginning of minimization, allowing this energy method to cache data
 pertinent for a single residue in the the ResPairMinimizationData that is used for a
 particular residue in the context of a particular Pose.  This base class provides a noop
 implementation for this function if there is nothing that the derived class needs to perform
 in this setup phase.
setup_for_scoring_for_residue(...) from builtins.PyCapsule
setup_for_scoring_for_residue(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, min_data : rosetta.core.scoring.ResSingleMinimizationData) -> NoneType
 
Do any setup work should the coordinates of this residue (who is still guaranteed to be
 of the same residue type as when setup_for_minimizing_for_residue was called) have changed so dramatically
 as to possibly require some amount of setup work before scoring should proceed.
 This function is used for both intra-residue setup and pre-inter-residue setup
setup_for_scoring_for_residue_pair(...) from builtins.PyCapsule
setup_for_scoring_for_residue_pair(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, minsingle_data1 : rosetta.core.scoring.ResSingleMinimizationData, minsingle_data2 : rosetta.core.scoring.ResSingleMinimizationData, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, data_cache : rosetta.core.scoring.ResPairMinimizationData) -> NoneType
 
Do any setup work should the coordinates of a pair of residues, who are still guaranteed to be
 of the same residue type as when setup_for_minimizing_for_residue was called, have changed so dramatically
 as to possibly require some amount of setup work before scoring should proceed
sidechain_sidechain_energy(...) from builtins.PyCapsule
sidechain_sidechain_energy(self : rosetta.core.scoring.methods.TwoBodyEnergy, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, sfxn : rosetta.core.scoring.ScoreFunction, emap : rosetta.core.scoring.EMapVector) -> NoneType
 
Evaluate the interaction between the sidechain of rsd1 and the
 sidechain of rsd2 and accumulate the unweighted energies.  The sum
 bb_bb(r1,r2) + bb_sc(r1,r2) + bb_sc(r2,r1) + sc_sc( r1,r2) must
 equal the unweighted result of a call to residue_pair_energy.
 By default, bb_bb & bb_sc return 0 and sc_sc returns
 residue pair energy.
use_extended_intrares_energy_interface(...) from builtins.PyCapsule
use_extended_intrares_energy_interface(rosetta.core.scoring.methods.TwoBodyEnergy) -> bool
 
Derived classes wishing to invoke the alternate, extended interface for eval_intrares_energy
 during minimization routines should return "true" when this function is invoked on them.  This
 class provides a default "return false" implementation so that classes not desiring to take advantage
 of this alternate interface need to do nothing.
use_extended_residue_pair_energy_interface(...) from builtins.PyCapsule
use_extended_residue_pair_energy_interface(rosetta.core.scoring.methods.TwoBodyEnergy) -> bool
 
Rely on the extended version of the residue_pair_energy function during score-function
 evaluation in minimization? The extended version (below) takes a ResPairMinimizationData in which
 the derived base class has (or should have) cached a piece of data that will make residue-pair
 energy evaluation faster than its absense (e.g. a neighbor list). Derived energy methods should
 return 'true' from this function to use the extended interface. The default method implemented
 in this class returns 'false'

Methods inherited from rosetta.core.scoring.methods.EnergyMethod:
defines_high_order_terms(...) from builtins.PyCapsule
defines_high_order_terms(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose) -> bool
 
Should this EnergyMethod have score and derivative evaluation
 evaluated both in the context of the whole Pose and in the context
 of residue or residue-pairs?  This covers scoring terms like env-smooth
 wherein the CBeta's get derivatives for increasing the neighbor counts
 for surrounding residues, and terms like constraints, which are definable
 on arbitrary number of residues (e.g. more than 2); both of these terms
 could be used in RTMin, and both should use the residue and residue-pair
 evaluation scheme with the MinimizationGraph for the majority of the
 work they do.  (Now, high-order constraints (3-body or above) will not
 be properly evaluated within RTMin.).  The default implementation
 returns "false".
minimize_in_whole_structure_context(...) from builtins.PyCapsule
minimize_in_whole_structure_context(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose) -> bool
 
Should this EnergyMethod have score and derivative evaluation
 evaluated only in the context of the whole Pose, or can it be included
 in a decomposed manner for a residue or a set of residue-pairs that are
 not part of the Pose that's serving as their context?  The default
 method implemented in the base class returns true in order to grandfather
 in EnergyMethods that have not had their derivatives changed to take
 advantage of the new derivative-evaluation machinery.  Methods that return
 "true" will not have their residue-energy(-ext) / residue-pair-energy(-ext)
 methods invoked by the ScoreFunction during its traversal of the
 MinimizationGraph, and instead will be asked to perform all their work
 during finalize_total_energies().  Similarly, they will be expected to
 perform all their work during eval_atom_deriv() instead of during the
 ScoreFunction's traversal of the MinimizationGraph for derivative evaluation.
 IMPORTANT: Methods that return "true" cannot be included in RTMin.
prepare_rotamers_for_packing(...) from builtins.PyCapsule
prepare_rotamers_for_packing(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose,  : rosetta.core.conformation.RotamerSetBase) -> NoneType
 
If an energy method needs to cache data in a packing::RotamerSet object before
 rotamer energies are calculated, it does so during this function. The packer
 must ensure this function is called. The default behavior is to do nothing.
score_types(...) from builtins.PyCapsule
score_types(rosetta.core.scoring.methods.EnergyMethod) -> rosetta.utility.vector1_core_scoring_ScoreType
 
Returns the score types that this energy method computes.
setup_for_minimizing(...) from builtins.PyCapsule
setup_for_minimizing(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose,  : rosetta.core.scoring.ScoreFunction,  : rosetta.core.kinematics.MinimizerMapBase) -> NoneType
 
Called at the beginning of atom tree minimization, this method
 allows the derived class the opportunity to initialize pertinent data
 that will be used during minimization.  During minimzation, the chemical
 structure of the pose is constant, so assumptions on the number of atoms
 per residue and their identities are safe so long as the pose's Energies
 object's "use_nblist()" method returns true.
setup_for_packing(...) from builtins.PyCapsule
setup_for_packing(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose,  : rosetta.utility.vector1_bool,  : rosetta.utility.vector1_bool) -> NoneType
 
if an energy method needs to cache data in the Energies object,
 before packing begins, then it does so during this function. The packer
 must ensure this function is called. The default behavior is to do nothing.
update_residue_for_packing(...) from builtins.PyCapsule
update_residue_for_packing(self : rosetta.core.scoring.methods.EnergyMethod,  : rosetta.core.pose.Pose, resid : int) -> NoneType
 
If the pose changes in the middle of a packing (as happens in rotamer trials) and if
 an energy method needs to cache data in the pose that corresponds to its current state,
 then the method must update that data when this function is called.  The packer must
 ensure this function gets called.  The default behavior is to do nothing.

 
class DNATorsionEnergyCreator(rosetta.core.scoring.methods.EnergyMethodCreator)
    
Method resolution order:
DNATorsionEnergyCreator
rosetta.core.scoring.methods.EnergyMethodCreator
builtins.object

Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(handle) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.core.scoring.dna.DNATorsionEnergyCreator,  : rosetta.core.scoring.dna.DNATorsionEnergyCreator) -> rosetta.core.scoring.dna.DNATorsionEnergyCreator
create_energy_method(...) from builtins.PyCapsule
create_energy_method(self : rosetta.core.scoring.dna.DNATorsionEnergyCreator,  : rosetta.core.scoring.methods.EnergyMethodOptions) -> rosetta.core.scoring.methods.EnergyMethod
 
Instantiate a new DNA_BaseEnergy
score_types_for_method(...) from builtins.PyCapsule
score_types_for_method(rosetta.core.scoring.dna.DNATorsionEnergyCreator) -> rosetta.utility.vector1_core_scoring_ScoreType
 
Return the set of score types claimed by the EnergyMethod
 this EnergyMethodCreator creates in its create_energy_method() function

 
class DNATorsionPotential(builtins.object)
     Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(rosetta.core.scoring.dna.DNATorsionPotential) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
add_sugar_ring_closure_constraints(...) from builtins.PyCapsule
add_sugar_ring_closure_constraints(self : rosetta.core.scoring.dna.DNATorsionPotential, rsd : rosetta.core.conformation.Residue, cst_set : rosetta.core.scoring.constraints.ConstraintSet) -> NoneType
alpha_components(...) from builtins.PyCapsule
alpha_components(rosetta.core.scoring.dna.DNATorsionPotential) -> rosetta.utility.vector1_std_shared_ptr_core_scoring_func_AmberPeriodicFunc_t
beta_components(...) from builtins.PyCapsule
beta_components(rosetta.core.scoring.dna.DNATorsionPotential) -> rosetta.utility.vector1_std_shared_ptr_core_scoring_func_AmberPeriodicFunc_t
delta_components(...) from builtins.PyCapsule
delta_components(rosetta.core.scoring.dna.DNATorsionPotential) -> rosetta.utility.vector1_std_shared_ptr_core_scoring_func_AmberPeriodicFunc_t
delta_cutoff(...) from builtins.PyCapsule
delta_cutoff(rosetta.core.scoring.dna.DNATorsionPotential) -> float
epsilon_components(...) from builtins.PyCapsule
epsilon_components(rosetta.core.scoring.dna.DNATorsionPotential) -> rosetta.utility.vector1_std_shared_ptr_core_scoring_func_AmberPeriodicFunc_t
gamma_components(...) from builtins.PyCapsule
gamma_components(rosetta.core.scoring.dna.DNATorsionPotential) -> rosetta.utility.vector1_std_shared_ptr_core_scoring_func_AmberPeriodicFunc_t
nu0_components(...) from builtins.PyCapsule
nu0_components(rosetta.core.scoring.dna.DNATorsionPotential) -> rosetta.utility.vector1_std_shared_ptr_core_scoring_func_AmberPeriodicFunc_t
nu1_components(...) from builtins.PyCapsule
nu1_components(rosetta.core.scoring.dna.DNATorsionPotential) -> rosetta.utility.vector1_std_shared_ptr_core_scoring_func_AmberPeriodicFunc_t
nu2_components(...) from builtins.PyCapsule
nu2_components(rosetta.core.scoring.dna.DNATorsionPotential) -> rosetta.utility.vector1_std_shared_ptr_core_scoring_func_AmberPeriodicFunc_t
nu3_components(...) from builtins.PyCapsule
nu3_components(rosetta.core.scoring.dna.DNATorsionPotential) -> rosetta.utility.vector1_std_shared_ptr_core_scoring_func_AmberPeriodicFunc_t
nu4_components(...) from builtins.PyCapsule
nu4_components(rosetta.core.scoring.dna.DNATorsionPotential) -> rosetta.utility.vector1_std_shared_ptr_core_scoring_func_AmberPeriodicFunc_t
setup_constraints(...) from builtins.PyCapsule
setup_constraints(self : rosetta.core.scoring.dna.DNATorsionPotential, pose : rosetta.core.pose.Pose, dna_torsion_constraints : rosetta.core.scoring.constraints.ConstraintSet, dna_sugar_close_constraints : rosetta.core.scoring.constraints.ConstraintSet, dna_base_distance_constraints : rosetta.core.scoring.constraints.ConstraintSet) -> NoneType
zeta_components(...) from builtins.PyCapsule
zeta_components(rosetta.core.scoring.dna.DNATorsionPotential) -> rosetta.utility.vector1_std_shared_ptr_core_scoring_func_AmberPeriodicFunc_t

 
class DNA_BasePotential(builtins.object)
     Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(rosetta.core.scoring.dna.DNA_BasePotential) -> NoneType
 
2. __init__(self : rosetta.core.scoring.dna.DNA_BasePotential,  : rosetta.core.scoring.dna.DNA_BasePotential) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.core.scoring.dna.DNA_BasePotential,  : rosetta.core.scoring.dna.DNA_BasePotential) -> rosetta.core.scoring.dna.DNA_BasePotential
base_pair_score(...) from builtins.PyCapsule
base_pair_score(self : rosetta.core.scoring.dna.DNA_BasePotential, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue) -> float
base_step_score(...) from builtins.PyCapsule
base_step_score(self : rosetta.core.scoring.dna.DNA_BasePotential, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue) -> float
eval_base_pair_Z_scores(...) from builtins.PyCapsule
eval_base_pair_Z_scores(self : rosetta.core.scoring.dna.DNA_BasePotential, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, z_scores : rosetta.utility.vector1_double) -> NoneType
eval_base_pair_derivative(...) from builtins.PyCapsule
eval_base_pair_derivative(self : rosetta.core.scoring.dna.DNA_BasePotential, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, F1 : rosetta.numeric.xyzVector_double_t, F2 : rosetta.numeric.xyzVector_double_t, sign_factor : float) -> NoneType
eval_base_step_Z_scores(...) from builtins.PyCapsule
eval_base_step_Z_scores(self : rosetta.core.scoring.dna.DNA_BasePotential, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, z_scores : rosetta.utility.vector1_double) -> NoneType
eval_base_step_derivative(...) from builtins.PyCapsule
eval_base_step_derivative(self : rosetta.core.scoring.dna.DNA_BasePotential, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, F1 : rosetta.numeric.xyzVector_double_t, F2 : rosetta.numeric.xyzVector_double_t, external_sign_factor : float) -> NoneType

 
class DNA_DihedralPotential(builtins.object)
     Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(self : rosetta.core.scoring.dna.DNA_DihedralPotential, filename : str) -> NoneType
 
2. __init__(rosetta.core.scoring.dna.DNA_DihedralPotential) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
eval_harmonic_backbone_torsion_score_and_deriv(...) from builtins.PyCapsule
eval_harmonic_backbone_torsion_score_and_deriv(self : rosetta.core.scoring.dna.DNA_DihedralPotential, tor : int, rsd : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, score : float, dscore_dtor : float) -> NoneType
eval_harmonic_sugar_pucker_dependent_chi_torsion_score_and_deriv(...) from builtins.PyCapsule
eval_harmonic_sugar_pucker_dependent_chi_torsion_score_and_deriv(self : rosetta.core.scoring.dna.DNA_DihedralPotential, rsd : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, pucker : int, score : float, dscore_dchi : float) -> NoneType
eval_sugar_torsion_score_and_deriv(...) from builtins.PyCapsule
eval_sugar_torsion_score_and_deriv(self : rosetta.core.scoring.dna.DNA_DihedralPotential, torsion : float, tor : int, rsd : rosetta.core.conformation.Residue, pucker : int, score : float, dscore_dtor : float) -> NoneType
get_mean_sugar_pucker_dependent_chi(...) from builtins.PyCapsule
get_mean_sugar_pucker_dependent_chi(self : rosetta.core.scoring.dna.DNA_DihedralPotential, rsd : rosetta.core.conformation.Residue) -> float
get_sugar_torsion_mean_and_sdev(...) from builtins.PyCapsule
get_sugar_torsion_mean_and_sdev(self : rosetta.core.scoring.dna.DNA_DihedralPotential, tor : int, rsd : rosetta.core.conformation.Residue, pucker : int, mean : float, sdev : float) -> NoneType

 
class DNA_EnvPairPotential(builtins.object)
     Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(rosetta.core.scoring.dna.DNA_EnvPairPotential) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.core.scoring.dna.DNA_EnvPairPotential,  : rosetta.core.scoring.dna.DNA_EnvPairPotential) -> rosetta.core.scoring.dna.DNA_EnvPairPotential
centroid_xyz(...) from builtins.PyCapsule
centroid_xyz(self : rosetta.core.scoring.dna.DNA_EnvPairPotential, rsd : rosetta.core.conformation.Residue) -> rosetta.numeric.xyzVector_double_t
nbr_dis2_threshold(...) from builtins.PyCapsule
nbr_dis2_threshold(rosetta.core.scoring.dna.DNA_EnvPairPotential) -> float
residue_env_score(...) from builtins.PyCapsule
residue_env_score(self : rosetta.core.scoring.dna.DNA_EnvPairPotential, aa : rosetta.core.chemical.AA, nbr_count : int) -> float
residue_pair_score(...) from builtins.PyCapsule
residue_pair_score(self : rosetta.core.scoring.dna.DNA_EnvPairPotential, na : rosetta.core.chemical.AA, aa : rosetta.core.chemical.AA, dis2 : float) -> float

 
class DirectReadoutPotential(builtins.object)
    1st pass implementation of Kono + Sarai's protein-DNA interaction potential
 
 
Needs polishing, converting to mini standards in some respects, but still in trial stage.
 
  Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(rosetta.core.scoring.dna.DirectReadoutPotential) -> NoneType
 
2. __init__(self : rosetta.core.scoring.dna.DirectReadoutPotential,  : rosetta.core.scoring.dna.DirectReadoutPotential) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
rsd_rsd_energy(...) from builtins.PyCapsule
rsd_rsd_energy(self : rosetta.core.scoring.dna.DirectReadoutPotential, rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue) -> float

 
class TorsionFourierComponent(builtins.object)
     Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(self : rosetta.core.scoring.dna.TorsionFourierComponent, factor : float, periodicity : float, phase : float) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.core.scoring.dna.TorsionFourierComponent,  : rosetta.core.scoring.dna.TorsionFourierComponent) -> rosetta.core.scoring.dna.TorsionFourierComponent
compute(...) from builtins.PyCapsule
compute(self : rosetta.core.scoring.dna.TorsionFourierComponent, torsion_angle : float, deriv : float) -> float
factor(...) from builtins.PyCapsule
factor(rosetta.core.scoring.dna.TorsionFourierComponent) -> float
periodicity(...) from builtins.PyCapsule
periodicity(rosetta.core.scoring.dna.TorsionFourierComponent) -> float
phase(...) from builtins.PyCapsule
phase(rosetta.core.scoring.dna.TorsionFourierComponent) -> float

 
Functions
       
find_basepairs(...) method of builtins.PyCapsule instance
find_basepairs(pose : rosetta.core.pose.Pose, partner : rosetta.utility.vector1_unsigned_long) -> NoneType
get_base_pair_params(...) method of builtins.PyCapsule instance
get_base_pair_params(rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, params : rosetta.utility.vector1_double) -> NoneType
get_base_pair_stub_slow(...) method of builtins.PyCapsule instance
get_base_pair_stub_slow(rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue) -> rosetta.core.kinematics.Stub
get_base_step_params(...) method of builtins.PyCapsule instance
get_base_step_params(*args, **kwargs)
Overloaded function.
 
1. get_base_step_params(rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue, params : rosetta.utility.vector1_double) -> NoneType
 
2. get_base_step_params(rsd11 : rosetta.core.conformation.Residue, rsd12 : rosetta.core.conformation.Residue, rsd21 : rosetta.core.conformation.Residue, rsd22 : rosetta.core.conformation.Residue, params : rosetta.utility.vector1_double) -> NoneType
get_base_stub(...) method of builtins.PyCapsule instance
get_base_stub(rsd : rosetta.core.conformation.Residue, strand : int) -> rosetta.core.kinematics.Stub
get_midstep_stub(...) method of builtins.PyCapsule instance
get_midstep_stub(in_stub1 : rosetta.core.kinematics.Stub, in_stub2 : rosetta.core.kinematics.Stub) -> rosetta.core.kinematics.Stub
get_sugar_torsions(...) method of builtins.PyCapsule instance
get_sugar_torsions(rsd : rosetta.core.conformation.Residue, torsions : rosetta.utility.vector1_double) -> NoneType
get_y_axis(...) method of builtins.PyCapsule instance
get_y_axis(rsd : rosetta.core.conformation.Residue, strand : int) -> rosetta.numeric.xyzVector_double_t
get_y_axis_atoms(...) method of builtins.PyCapsule instance
get_y_axis_atoms(rsd_type : rosetta.core.chemical.ResidueType, strand : int, a1 : str, a2 : str) -> NoneType
get_z_axis(...) method of builtins.PyCapsule instance
get_z_axis(rsd : rosetta.core.conformation.Residue, y_axis : rosetta.numeric.xyzVector_double_t) -> rosetta.numeric.xyzVector_double_t
is_orthonormal(...) method of builtins.PyCapsule instance
is_orthonormal(M : rosetta.numeric.xyzMatrix_double_t, tol : float) -> bool
retrieve_base_partner_from_pose(...) method of builtins.PyCapsule instance
retrieve_base_partner_from_pose(pose : rosetta.core.pose.Pose) -> rosetta.core.scoring.dna.BasePartner
 
helper fcn
set_base_partner(...) method of builtins.PyCapsule instance
set_base_partner(pose : rosetta.core.pose.Pose) -> NoneType
show_base_pair_params(...) method of builtins.PyCapsule instance
show_base_pair_params(rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue) -> NoneType
show_new_base_step_params(...) method of builtins.PyCapsule instance
show_new_base_step_params(rsd1 : rosetta.core.conformation.Residue, rsd2 : rosetta.core.conformation.Residue) -> NoneType