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- rosetta.core.scoring.methods.ContextDependentOneBodyEnergy(rosetta.core.scoring.methods.OneBodyEnergy)
-
- AACompositionEnergy
- rosetta.core.scoring.methods.EnergyMethodCreator(builtins.object)
-
- AACompositionEnergyCreator
- rosetta.protocols.moves.Mover(builtins.object)
-
- SetAACompositionPotential
- SetSecStructEnergies
- rosetta.protocols.moves.MoverCreator(builtins.object)
-
- SetAACompositionPotentialCreator
- SetSecStructEnergiesCreator
class AACompositionEnergy(rosetta.core.scoring.methods.ContextDependentOneBodyEnergy) |
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AACompositionEnergy
|
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- Method resolution order:
- AACompositionEnergy
- rosetta.core.scoring.methods.ContextDependentOneBodyEnergy
- rosetta.core.scoring.methods.OneBodyEnergy
- 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__(self : handle, comp_constraint_aas : rosetta.std.map_core_chemical_AA_std_pair_double_double_t) -> NoneType
3. __init__(handle, rosetta.protocols.fldsgn.potentials.AACompositionEnergy) -> 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.protocols.fldsgn.potentials.AACompositionEnergy, : rosetta.protocols.fldsgn.potentials.AACompositionEnergy) -> rosetta.protocols.fldsgn.potentials.AACompositionEnergy
- clone(...) from builtins.PyCapsule
- clone(rosetta.protocols.fldsgn.potentials.AACompositionEnergy) -> rosetta.core.scoring.methods.EnergyMethod
clone
- indicate_required_context_graphs(...) from builtins.PyCapsule
- indicate_required_context_graphs(self : rosetta.protocols.fldsgn.potentials.AACompositionEnergy, : 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.protocols.fldsgn.potentials.AACompositionEnergy, rsd : rosetta.core.conformation.Residue, pose : rosetta.core.pose.Pose, emap : rosetta.core.scoring.EMapVector) -> NoneType
//////////////////////////////////////////////////////////////////////////
- set_comp_constraint_aa(...) from builtins.PyCapsule
- set_comp_constraint_aa(self : rosetta.protocols.fldsgn.potentials.AACompositionEnergy, comp_constraint_aas : rosetta.std.map_core_chemical_AA_std_pair_double_double_t) -> NoneType
- version(...) from builtins.PyCapsule
- version(rosetta.protocols.fldsgn.potentials.AACompositionEnergy) -> int
Methods inherited from rosetta.core.scoring.methods.ContextDependentOneBodyEnergy:
- method_type(...) from builtins.PyCapsule
- method_type(rosetta.core.scoring.methods.ContextDependentOneBodyEnergy) -> rosetta.core.scoring.methods.EnergyMethodType
Returns the cd_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 SetAACompositionPotential(rosetta.protocols.moves.Mover) |
| | |
- Method resolution order:
- SetAACompositionPotential
- rosetta.protocols.moves.Mover
- builtins.object
Methods defined here:
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(handle) -> NoneType
2. __init__(handle, rosetta.protocols.fldsgn.potentials.SetAACompositionPotential) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- apply(...) from builtins.PyCapsule
- apply(self : rosetta.protocols.fldsgn.potentials.SetAACompositionPotential, : rosetta.core.pose.Pose) -> NoneType
apply defined moves to given Pose
- clone(...) from builtins.PyCapsule
- clone(rosetta.protocols.fldsgn.potentials.SetAACompositionPotential) -> rosetta.protocols.moves.Mover
clone this object
- fresh_instance(...) from builtins.PyCapsule
- fresh_instance(rosetta.protocols.fldsgn.potentials.SetAACompositionPotential) -> rosetta.protocols.moves.Mover
create this type of object
- get_name(...) from builtins.PyCapsule
- get_name(rosetta.protocols.fldsgn.potentials.SetAACompositionPotential) -> str
Methods inherited from rosetta.protocols.moves.Mover:
- assign(...) from builtins.PyCapsule
- assign(self : rosetta.protocols.moves.Mover, other : rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
- clear_info(...) from builtins.PyCapsule
- clear_info(rosetta.protocols.moves.Mover) -> NoneType
Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.
clear_info is called by jd2 before calling apply
- create(...) from builtins.PyCapsule
- create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
- get_additional_output(...) from builtins.PyCapsule
- get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
fpd
Mechanism by which a mover may return multiple output poses from a single input pose.
- get_current_job(...) from builtins.PyCapsule
- get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob
- get_current_tag(...) from builtins.PyCapsule
- get_current_tag(rosetta.protocols.moves.Mover) -> str
A tag is a unique identifier used to identify structures produced
by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )
sets the tag. This functionality is not intended for use with the 2008 job distributor.
- get_input_pose(...) from builtins.PyCapsule
- get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
- get_last_move_status(...) from builtins.PyCapsule
- get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus
returns status after an apply(). The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return.
- get_native_pose(...) from builtins.PyCapsule
- get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
- get_self_ptr(...) from builtins.PyCapsule
- get_self_ptr(*args, **kwargs)
Overloaded function.
1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
- get_self_weak_ptr(...) from builtins.PyCapsule
- get_self_weak_ptr(*args, **kwargs)
Overloaded function.
1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t
2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t
- get_type(...) from builtins.PyCapsule
- get_type(rosetta.protocols.moves.Mover) -> str
- info(...) from builtins.PyCapsule
- info(*args, **kwargs)
Overloaded function.
1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t
non-const accessor
2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t
const accessor
- last_proposal_density_ratio(...) from builtins.PyCapsule
- last_proposal_density_ratio(rosetta.protocols.moves.Mover) -> float
- name(...) from builtins.PyCapsule
- name() -> str
- register_options(...) from builtins.PyCapsule
- register_options(*args, **kwargs)
Overloaded function.
1. register_options() -> NoneType
Overload this static method if you access options within the mover.
These options will end up in -help of your application if users of this mover call register_options.
Do this recursively!
If you use movers within your mover, call their register_options in your register_options() method.
2. register_options() -> NoneType
3. register_options() -> NoneType
4. register_options() -> NoneType
5. register_options() -> NoneType
6. register_options() -> NoneType
7. register_options() -> NoneType
8. register_options() -> NoneType
9. register_options() -> NoneType
Associates relevant options with the AntibodyModeler class
10. register_options() -> NoneType
Associates relevant options with the AntibodyModeler class
11. register_options() -> NoneType
Associates relevant options with the SnugDock class
12. register_options() -> NoneType
Associates relevant options with the SnugDockProtocol class
13. register_options() -> NoneType
Register the options used by this mover with the global options
system.
14. register_options() -> NoneType
15. register_options() -> NoneType
Associate relevant options with the TemperedDocking class.
16. register_options() -> NoneType
17. register_options() -> NoneType
18. register_options() -> NoneType
Associates relevant options with the TemperedDocking class.
19. register_options() -> NoneType
20. register_options() -> NoneType
Associates relevant options with the ConstraintSetMover class
21. register_options() -> NoneType
22. register_options() -> NoneType
Associates relevant options with the DockingInitialPerturbation class
23. register_options() -> NoneType
Associates relevant options with the DockingProtocol class
24. register_options() -> NoneType
Associates relevant options with the TemperedDocking class
25. register_options() -> NoneType
26. register_options() -> NoneType
27. register_options() -> NoneType
28. register_options() -> NoneType
register options
29. register_options() -> NoneType
30. register_options() -> NoneType
Registers applicable options
31. register_options() -> NoneType
Register options with the option system.
32. register_options() -> NoneType
33. register_options() -> NoneType
34. register_options() -> NoneType
Associates relevant options with the LoopRefineInnerCycle class
35. register_options() -> NoneType
Associates relevant options with the LoopRefineInnerCycleContainer class
36. register_options() -> NoneType
Associates relevant options with the LoopRefineInnerCycle class
37. register_options() -> NoneType
Associates relevant options with the LoopRefineInnerCycle class
38. register_options() -> NoneType
39. register_options() -> NoneType
Register options with the option system.
40. register_options() -> NoneType
- reinitialize_for_each_job(...) from builtins.PyCapsule
- reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool
Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on
each use.
- reinitialize_for_new_input(...) from builtins.PyCapsule
- reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool
Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input
pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for
that one input pose).
- reset_status(...) from builtins.PyCapsule
- reset_status(rosetta.protocols.moves.Mover) -> NoneType
resets status to SUCCESS, meant to be used before an apply(). The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s.
- set_current_job(...) from builtins.PyCapsule
- set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType
////////////////////////////end Job Distributor interface////////////////////////////////////////
- set_current_tag(...) from builtins.PyCapsule
- set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType
- set_input_pose(...) from builtins.PyCapsule
- set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
setter for poses contained for rms
- set_native_pose(...) from builtins.PyCapsule
- set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe
- set_type(...) from builtins.PyCapsule
- set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType
- test_move(...) from builtins.PyCapsule
- test_move(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
: Unit test support function. Apply one move to a given pose.
Allows extra test specific functions to be called before applying
- type(...) from builtins.PyCapsule
- type(*args, **kwargs)
Overloaded function.
1. type(rosetta.protocols.moves.Mover) -> str
2. type(self : rosetta.protocols.moves.Mover, type_in : str) -> NoneType
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class SetSecStructEnergies(rosetta.protocols.moves.Mover) |
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- Method resolution order:
- SetSecStructEnergies
- rosetta.protocols.moves.Mover
- builtins.object
Methods defined here:
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(handle) -> NoneType
2. __init__(handle, rosetta.core.scoring.ScoreFunction, str) -> NoneType
doc
3. __init__(self : handle, sfx : rosetta.core.scoring.ScoreFunction, filename : str, ss_from_blueprint : bool) -> NoneType
4. __init__(handle, rosetta.core.scoring.ScoreFunction, protocols::jd2::parser::BluePrint) -> NoneType
doc
5. __init__(self : handle, sfx : rosetta.core.scoring.ScoreFunction, blueprintOP : protocols::jd2::parser::BluePrint, ss_from_blueprint : bool) -> NoneType
6. __init__(handle, rosetta.protocols.fldsgn.potentials.SetSecStructEnergies) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- apply(...) from builtins.PyCapsule
- apply(self : rosetta.protocols.fldsgn.potentials.SetSecStructEnergies, pose : rosetta.core.pose.Pose) -> NoneType
apply defined moves to given Pose
- clone(...) from builtins.PyCapsule
- clone(rosetta.protocols.fldsgn.potentials.SetSecStructEnergies) -> rosetta.protocols.moves.Mover
clone this object
- fresh_instance(...) from builtins.PyCapsule
- fresh_instance(rosetta.protocols.fldsgn.potentials.SetSecStructEnergies) -> rosetta.protocols.moves.Mover
create this type of object
- get_name(...) from builtins.PyCapsule
- get_name(rosetta.protocols.fldsgn.potentials.SetSecStructEnergies) -> str
- scorefunction(...) from builtins.PyCapsule
- scorefunction(*args, **kwargs)
Overloaded function.
1. scorefunction(self : rosetta.protocols.fldsgn.potentials.SetSecStructEnergies, sfx : rosetta.core.scoring.ScoreFunction) -> NoneType
set the centroid level score function
2. scorefunction(self : rosetta.protocols.fldsgn.potentials.SetSecStructEnergies, sfx : rosetta.core.scoring.ScoreFunction) -> NoneType
set the centroid level score function
- set_blueprint(...) from builtins.PyCapsule
- set_blueprint(*args, **kwargs)
Overloaded function.
1. set_blueprint(self : rosetta.protocols.fldsgn.potentials.SetSecStructEnergies, filename : str) -> NoneType
set blueprint file by filename
2. set_blueprint(self : rosetta.protocols.fldsgn.potentials.SetSecStructEnergies, blp : protocols::jd2::parser::BluePrint) -> NoneType
set blueprint file
- ss_from_blueprint(...) from builtins.PyCapsule
- ss_from_blueprint(self : rosetta.protocols.fldsgn.potentials.SetSecStructEnergies, flag : bool) -> NoneType
define secondary structrue by blueprint
Methods inherited from rosetta.protocols.moves.Mover:
- assign(...) from builtins.PyCapsule
- assign(self : rosetta.protocols.moves.Mover, other : rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
- clear_info(...) from builtins.PyCapsule
- clear_info(rosetta.protocols.moves.Mover) -> NoneType
Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.
clear_info is called by jd2 before calling apply
- create(...) from builtins.PyCapsule
- create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
- get_additional_output(...) from builtins.PyCapsule
- get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
fpd
Mechanism by which a mover may return multiple output poses from a single input pose.
- get_current_job(...) from builtins.PyCapsule
- get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob
- get_current_tag(...) from builtins.PyCapsule
- get_current_tag(rosetta.protocols.moves.Mover) -> str
A tag is a unique identifier used to identify structures produced
by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )
sets the tag. This functionality is not intended for use with the 2008 job distributor.
- get_input_pose(...) from builtins.PyCapsule
- get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
- get_last_move_status(...) from builtins.PyCapsule
- get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus
returns status after an apply(). The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return.
- get_native_pose(...) from builtins.PyCapsule
- get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
- get_self_ptr(...) from builtins.PyCapsule
- get_self_ptr(*args, **kwargs)
Overloaded function.
1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
- get_self_weak_ptr(...) from builtins.PyCapsule
- get_self_weak_ptr(*args, **kwargs)
Overloaded function.
1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t
2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t
- get_type(...) from builtins.PyCapsule
- get_type(rosetta.protocols.moves.Mover) -> str
- info(...) from builtins.PyCapsule
- info(*args, **kwargs)
Overloaded function.
1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t
non-const accessor
2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t
const accessor
- last_proposal_density_ratio(...) from builtins.PyCapsule
- last_proposal_density_ratio(rosetta.protocols.moves.Mover) -> float
- name(...) from builtins.PyCapsule
- name() -> str
- register_options(...) from builtins.PyCapsule
- register_options(*args, **kwargs)
Overloaded function.
1. register_options() -> NoneType
Overload this static method if you access options within the mover.
These options will end up in -help of your application if users of this mover call register_options.
Do this recursively!
If you use movers within your mover, call their register_options in your register_options() method.
2. register_options() -> NoneType
3. register_options() -> NoneType
4. register_options() -> NoneType
5. register_options() -> NoneType
6. register_options() -> NoneType
7. register_options() -> NoneType
8. register_options() -> NoneType
9. register_options() -> NoneType
Associates relevant options with the AntibodyModeler class
10. register_options() -> NoneType
Associates relevant options with the AntibodyModeler class
11. register_options() -> NoneType
Associates relevant options with the SnugDock class
12. register_options() -> NoneType
Associates relevant options with the SnugDockProtocol class
13. register_options() -> NoneType
Register the options used by this mover with the global options
system.
14. register_options() -> NoneType
15. register_options() -> NoneType
Associate relevant options with the TemperedDocking class.
16. register_options() -> NoneType
17. register_options() -> NoneType
18. register_options() -> NoneType
Associates relevant options with the TemperedDocking class.
19. register_options() -> NoneType
20. register_options() -> NoneType
Associates relevant options with the ConstraintSetMover class
21. register_options() -> NoneType
22. register_options() -> NoneType
Associates relevant options with the DockingInitialPerturbation class
23. register_options() -> NoneType
Associates relevant options with the DockingProtocol class
24. register_options() -> NoneType
Associates relevant options with the TemperedDocking class
25. register_options() -> NoneType
26. register_options() -> NoneType
27. register_options() -> NoneType
28. register_options() -> NoneType
register options
29. register_options() -> NoneType
30. register_options() -> NoneType
Registers applicable options
31. register_options() -> NoneType
Register options with the option system.
32. register_options() -> NoneType
33. register_options() -> NoneType
34. register_options() -> NoneType
Associates relevant options with the LoopRefineInnerCycle class
35. register_options() -> NoneType
Associates relevant options with the LoopRefineInnerCycleContainer class
36. register_options() -> NoneType
Associates relevant options with the LoopRefineInnerCycle class
37. register_options() -> NoneType
Associates relevant options with the LoopRefineInnerCycle class
38. register_options() -> NoneType
39. register_options() -> NoneType
Register options with the option system.
40. register_options() -> NoneType
- reinitialize_for_each_job(...) from builtins.PyCapsule
- reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool
Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on
each use.
- reinitialize_for_new_input(...) from builtins.PyCapsule
- reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool
Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input
pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for
that one input pose).
- reset_status(...) from builtins.PyCapsule
- reset_status(rosetta.protocols.moves.Mover) -> NoneType
resets status to SUCCESS, meant to be used before an apply(). The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s.
- set_current_job(...) from builtins.PyCapsule
- set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType
////////////////////////////end Job Distributor interface////////////////////////////////////////
- set_current_tag(...) from builtins.PyCapsule
- set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType
- set_input_pose(...) from builtins.PyCapsule
- set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
setter for poses contained for rms
- set_native_pose(...) from builtins.PyCapsule
- set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe
- set_type(...) from builtins.PyCapsule
- set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType
- test_move(...) from builtins.PyCapsule
- test_move(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
: Unit test support function. Apply one move to a given pose.
Allows extra test specific functions to be called before applying
- type(...) from builtins.PyCapsule
- type(*args, **kwargs)
Overloaded function.
1. type(rosetta.protocols.moves.Mover) -> str
2. type(self : rosetta.protocols.moves.Mover, type_in : str) -> NoneType
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