sasa¶

Bindings for core::scoring::sasa namespace

class pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa¶

Bases: pyrosetta.rosetta.core.scoring.sasa.SasaMethod

LeGrand SASA approximation method: Used by SasaCalc but can be used by itself.
LeGrand S, Merz KM. Rapid approximation to molecular surface area via the use of Boolean logic and look-up tables.: J Comput Chem 1993;14:349-352.

Fortran Implementation: Jerry Tsai C++ Translation: Jeff Gray Cleanup/Bugfixes/OOP: Jared Adolf-Bryfogle

__delattr__¶: Implement delattr(self, name).

__dir__() → list¶: default dir() implementation

__eq__¶: Return self==value.

__format__()¶: default object formatter

__ge__¶: Return self>=value.

__getattribute__¶: Return getattr(self, name).

__gt__¶: Return self>value.

__hash__¶: Return hash(self).

__init__(*args, **kwargs)¶

Overloaded function.

__init__(self: pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa, probe_radius: float, radii_set: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) -> None
__init__(self: pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa, arg0: pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa) -> None

__init_subclass__()¶

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

__le__¶: Return self<=value.

__lt__¶: Return self<value.

__ne__¶: Return self!=value.

__new__()¶: Create and return a new object. See help(type) for accurate signature.

__reduce__()¶: helper for pickle

__reduce_ex__()¶: helper for pickle

__repr__¶: Return repr(self).

__setattr__¶: Implement setattr(self, name, value).

__sizeof__() → int¶: size of object in memory, in bytes

__str__¶: Return str(self).

__subclasshook__()¶

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).

assign(self: pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa, : pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa) → pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa¶: C++: core::scoring::sasa::LeGrandSasa::operator=(const class core::scoring::sasa::LeGrandSasa &) –> class core::scoring::sasa::LeGrandSasa &

calculate(self: pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa, pose: pyrosetta.rosetta.core.pose.Pose, atom_subset: pyrosetta.rosetta.core.id.AtomID_Map_bool_t, atom_sasa: pyrosetta.rosetta.core.id.AtomID_Map_double_t, rsd_sasa: pyrosetta.rosetta.utility.vector1_double) → float¶

Calculate Sasa. Atoms not calculated have -1 sasa. This is carried over for compatability purposes.

C++: core::scoring::sasa::LeGrandSasa::calculate(const class core::pose::Pose &, const class core::id::AtomID_Map<bool> &, class core::id::AtomID_Map<double> &, class utility::vector1<double, class std::allocator<double> > &) –> double

get_2way_orientation(self: pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa, a_xyz: pyrosetta.rosetta.numeric.xyzVector_double_t, b_xyz: pyrosetta.rosetta.numeric.xyzVector_double_t, phi_a2b_index: int, theta_a2b_index: int, phi_b2a_index: int, theta_b2a_index: int, distance_ijxyz: float) → None¶

Gets the orientation of a to b (i to j, see below). Does this by calculating two angles, aphi and theta. (j)

This function is the same as the function above but get the orientation of a to b simultaneously with the orientation of b to a. The same result could be achieved by making two separate get_2way_orientation() calls but this method does it more efficiently by avoiding an atan2 and acos call. Instead, once you compute the phi and theta for a on b, you can add/subtrate pi factors to get the phi and theta for b on a. Still not sure how this method returns the correct values, though. (ronj)

C++: core::scoring::sasa::LeGrandSasa::get_2way_orientation(const class numeric::xyzVector<double> &, const class numeric::xyzVector<double> &, int &, int &, int &, int &, double) const –> void

get_angles(self: pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa) → ObjexxFCL::FArray2D<int>¶

Returns const access to the angles FArray, which contains the information in the SASA database file sampling/SASA-angles.dat.: Adding this in so that the values in the SASA database files can be used in SASA-based scores. (ronj)

C++: core::scoring::sasa::LeGrandSasa::get_angles() const –> const class ObjexxFCL::FArray2D<int> &

get_masks(self: pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa) → ObjexxFCL::FArray2D<ObjexxFCL::ubyte>¶

Returns const access to the masks FArray, which contains the information in the SASA database file sampling/SASA-masks.dat.: Adding this in so that the values in the SASA database files can be used in SASA-based scores. (ronj)

C++: core::scoring::sasa::LeGrandSasa::get_masks() const –> const class ObjexxFCL::FArray2D<class ObjexxFCL::ubyte> &

get_name(self: pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa) → str¶: C++: core::scoring::sasa::LeGrandSasa::get_name() const –> std::string

get_orientation(self: pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa, a_xyz: pyrosetta.rosetta.numeric.xyzVector_double_t, b_xyz: pyrosetta.rosetta.numeric.xyzVector_double_t, phi_index: int, theta_index: int, distance_ijxyz: float) → None¶

Note: I think phi and theta have been reversed in the function below. The code below uses the following:

phi = arccos( z ) theta = arctan( y / x )

After a couple of weeks trying to write tests for this function, I have been unsuccessful in figuring out why it’s doing what it does. Despite using the wrong equations, it seems to work. Comparing the total residue SASA values calculated by calc_per_atom_sasa() below results in a correlation of 0.98 against what the program NACCESS finds for the same residues. This test was done on a small 110aa protein. I also looked at the per-atom total SASA and the correlation for all atoms (mini v. NACCESS) was approximately 0.94. I’m using exactly the same van der Waals radii for both programs so I feel like the correlations should be 1.0. Explanations for the differences can be 1) this method is doing something wrong in calculating the closest surface point, 2) this method is correct but the masks that are in the database are not aligned to the surface points correctly, 3) the differences are solely due to the different way that the two program calculate surface area. (ronj)

C++: core::scoring::sasa::LeGrandSasa::get_orientation(const class numeric::xyzVector<double> &, const class numeric::xyzVector<double> &, int &, int &, double) const –> void

get_overlap(self: pyrosetta.rosetta.core.scoring.sasa.LeGrandSasa, radius_a: float, radius_b: float, distance_ijxyz: float, degree_of_overlap: int) → None¶

getting overlap from a to b (or i to j, as the atoms are referred to in calc_per_atom_sasa below).

this returns the degree of overlap between two atoms adapted from erics code in area.c GetD2 and returns value from 1 to 100. This calculation is based on the law of cosines. See LeGrand and Merz, Journal of Computational Chemistry 14(3):349-52 (1993). Note that equation (4) is wrong, the denominator should be 2*ri*riq instead of 2*ri*rq (j)

The function gets passed in the sasa radius of atom i (plus the probe radius), the sasa radius of atom j (plus the probe radius), the distance between the atom centers, and a reference to the degree of overlap (represented as an int). The degree of overlap that’s returned can be thought of as how much of atom a is covered by atom b. A value of 100 means that atom a is completely covered up by atom b. A value of 1 means that not much of the surface of ‘a’ is covered up by ‘b’. The law of cosines relates the cosine of one angle of a triangle to the lengths of its sides. More specifically, c^2 = a^2 + b^2 - 2*a*b*cos theta, where theta is the angle between sides a and b. For the function we want to compute the angle of the cone of intersection between spheres ‘a’ and ‘b’. Let the radius of atom a be ri, and the radius of atom b be rq, and the distance between atom centers be riq. Let the angle between ri and riq be theta_iq. The cosine of theta_iq will be equivalent to ( ri^2 + riq^2 - rq^2 ) / 2 * ri * riq

C++: core::scoring::sasa::LeGrandSasa::get_overlap(const double, const double, const double, int &) const –> void

set_include_probe_radius_in_calc(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, include_probe_radius: bool) → None¶

Include the probe radius in calc. Typical for SASA.

C++: core::scoring::sasa::SasaMethod::set_include_probe_radius_in_calc(bool) –> void

set_probe_radius(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, probe_radius: float) → None¶

Set the probe radius. Typical value is that of water at 1.4 A

C++: core::scoring::sasa::SasaMethod::set_probe_radius(double) –> void

set_radii_set(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, radii_set: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) → None¶

Set the radii type.

C++: core::scoring::sasa::SasaMethod::set_radii_set(enum core::scoring::sasa::SasaRadii) –> void

set_use_big_polar_hydrogen(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, big_polar_h: bool) → None¶

Legacy option to increase polar hydrogen radii to 1.08A. Supported for now.

C++: core::scoring::sasa::SasaMethod::set_use_big_polar_hydrogen(bool) –> void

class pyrosetta.rosetta.core.scoring.sasa.SasaCalc¶

Bases: pybind11_builtins.pybind11_object

Main interface to sasa calculations outside of pose metrics.

__delattr__¶: Implement delattr(self, name).

__dir__() → list¶: default dir() implementation

__eq__¶: Return self==value.

__format__()¶: default object formatter

__ge__¶: Return self>=value.

__getattribute__¶: Return getattr(self, name).

__gt__¶: Return self>value.

__hash__¶: Return hash(self).

__init__(*args, **kwargs)¶

Overloaded function.

__init__(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) -> None
__init__(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, method: pyrosetta.rosetta.core.scoring.sasa.SasaMethodEnum) -> None

__init_subclass__()¶

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

__le__¶: Return self<=value.

__lt__¶: Return self<value.

__ne__¶: Return self!=value.

__new__()¶: Create and return a new object. See help(type) for accurate signature.

__reduce__()¶: helper for pickle

__reduce_ex__()¶: helper for pickle

__repr__¶: Return repr(self).

__setattr__¶: Implement setattr(self, name, value).

__sizeof__() → int¶: size of object in memory, in bytes

__str__¶: Return str(self).

__subclasshook__()¶

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).

assign(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, : pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → pyrosetta.rosetta.core.scoring.sasa.SasaCalc¶: C++: core::scoring::sasa::SasaCalc::operator=(const class core::scoring::sasa::SasaCalc &) –> class core::scoring::sasa::SasaCalc &

calculate(*args, **kwargs)¶

Overloaded function.

calculate(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, pose: pyrosetta.rosetta.core.pose.Pose) -> float

Calculate Sasa. Atoms not calculated have -1 sasa in AtomID_Map. This is carried over for compatability purposes.

C++: core::scoring::sasa::SasaCalc::calculate(const class core::pose::Pose &) –> double

calculate(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, pose: pyrosetta.rosetta.core.pose.Pose, atom_sasa: pyrosetta.rosetta.core.id.AtomID_Map_double_t) -> float

// Legacy-style interfaces //////////

C++: core::scoring::sasa::SasaCalc::calculate(const class core::pose::Pose &, class core::id::AtomID_Map<double> &) –> double

calculate(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, pose: pyrosetta.rosetta.core.pose.Pose, rsd_sasa: pyrosetta.rosetta.utility.vector1_double, rsd_hsasa: pyrosetta.rosetta.utility.vector1_double) -> float

C++: core::scoring::sasa::SasaCalc::calculate(const class core::pose::Pose &, class utility::vector1<double, class std::allocator<double> > &, class utility::vector1<double, class std::allocator<double> > &) –> double

calculate(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, pose: pyrosetta.rosetta.core.pose.Pose, atom_sasa: pyrosetta.rosetta.core.id.AtomID_Map_double_t, rsd_sasa: pyrosetta.rosetta.utility.vector1_double, rsd_hsasa: pyrosetta.rosetta.utility.vector1_double) -> float

C++: core::scoring::sasa::SasaCalc::calculate(const class core::pose::Pose &, class core::id::AtomID_Map<double> &, class utility::vector1<double, class std::allocator<double> > &, class utility::vector1<double, class std::allocator<double> > &) –> double

calculate(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, pose: pyrosetta.rosetta.core.pose.Pose, atom_sasa: pyrosetta.rosetta.core.id.AtomID_Map_double_t, rsd_sasa: pyrosetta.rosetta.utility.vector1_double, rsd_hsasa: pyrosetta.rosetta.utility.vector1_double, rsd_rel_hsasa: pyrosetta.rosetta.utility.vector1_double) -> float

C++: core::scoring::sasa::SasaCalc::calculate(const class core::pose::Pose &, class core::id::AtomID_Map<double> &, class utility::vector1<double, class std::allocator<double> > &, class utility::vector1<double, class std::allocator<double> > &, class utility::vector1<double, class std::allocator<double> > &) –> double

fill_data(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, total_hsasa: float, total_rel_hsasa: float, atom_sasa: pyrosetta.rosetta.core.id.AtomID_Map_double_t, rsd_sasa: pyrosetta.rosetta.utility.vector1_double, rsd_hsasa: pyrosetta.rosetta.utility.vector1_double, rel_hsasa: pyrosetta.rosetta.utility.vector1_double) → None¶

Convenience function to fill most commonly used data.

C++: core::scoring::sasa::SasaCalc::fill_data(double &, double &, class core::id::AtomID_Map<double> &, class utility::vector1<double, class std::allocator<double> > &, class utility::vector1<double, class std::allocator<double> > &, class utility::vector1<double, class std::allocator<double> > &) –> void

get_atom_sasa(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → pyrosetta.rosetta.core.id.AtomID_Map_double_t¶

////Per Atom

C++: core::scoring::sasa::SasaCalc::get_atom_sasa() const –> class core::id::AtomID_Map<double>

get_rel_hphobic_sasa_by_charge(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → pyrosetta.rosetta.utility.vector1_double¶: C++: core::scoring::sasa::SasaCalc::get_rel_hphobic_sasa_by_charge() const –> class utility::vector1<double, class std::allocator<double> >

get_residue_hsasa(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → pyrosetta.rosetta.utility.vector1_double¶: C++: core::scoring::sasa::SasaCalc::get_residue_hsasa() const –> class utility::vector1<double, class std::allocator<double> >

get_residue_hsasa_bb(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → pyrosetta.rosetta.utility.vector1_double¶: C++: core::scoring::sasa::SasaCalc::get_residue_hsasa_bb() const –> class utility::vector1<double, class std::allocator<double> >

get_residue_hsasa_sc(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → pyrosetta.rosetta.utility.vector1_double¶: C++: core::scoring::sasa::SasaCalc::get_residue_hsasa_sc() const –> class utility::vector1<double, class std::allocator<double> >

get_residue_sasa(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → pyrosetta.rosetta.utility.vector1_double¶

/////Per Residue

C++: core::scoring::sasa::SasaCalc::get_residue_sasa() const –> class utility::vector1<double, class std::allocator<double> >

get_residue_sasa_bb(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → pyrosetta.rosetta.utility.vector1_double¶: C++: core::scoring::sasa::SasaCalc::get_residue_sasa_bb() const –> class utility::vector1<double, class std::allocator<double> >

get_residue_sasa_sc(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → pyrosetta.rosetta.utility.vector1_double¶: C++: core::scoring::sasa::SasaCalc::get_residue_sasa_sc() const –> class utility::vector1<double, class std::allocator<double> >

get_total_hsasa(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → float¶: C++: core::scoring::sasa::SasaCalc::get_total_hsasa() const –> double

get_total_hsasa_bb(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → float¶: C++: core::scoring::sasa::SasaCalc::get_total_hsasa_bb() const –> double

get_total_hsasa_sc(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → float¶: C++: core::scoring::sasa::SasaCalc::get_total_hsasa_sc() const –> double

get_total_rel_hsasa(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → float¶: C++: core::scoring::sasa::SasaCalc::get_total_rel_hsasa() const –> double

get_total_sasa(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → float¶

//////Totals

C++: core::scoring::sasa::SasaCalc::get_total_sasa() const –> double

get_total_sasa_bb(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → float¶: C++: core::scoring::sasa::SasaCalc::get_total_sasa_bb() const –> double

get_total_sasa_sc(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → float¶: C++: core::scoring::sasa::SasaCalc::get_total_sasa_sc() const –> double

set_calculation_method(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, method: pyrosetta.rosetta.core.scoring.sasa.SasaMethodEnum) → None¶: C++: core::scoring::sasa::SasaCalc::set_calculation_method(enum core::scoring::sasa::SasaMethodEnum) –> void

set_defaults(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc) → None¶

//////// Common Options ///////////

C++: core::scoring::sasa::SasaCalc::set_defaults() –> void

set_exclude_polar_atoms_by_charge(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, exclude_polar_all: bool) → None¶

Polar carbons and other atoms should not be included in hydrophobic hSASA - though historically they were.: .4 is a relative number. This makes sure that carbonyl and carboxyl carbons are marked as polar, while others (protein-based) are non-polar

C++: core::scoring::sasa::SasaCalc::set_exclude_polar_atoms_by_charge(bool) –> void

set_explicit_hydrogen_included_radii_set(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, radii_set: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) → None¶

Radii set to use when including hydrogens (LJ/reduce)

C++: core::scoring::sasa::SasaCalc::set_explicit_hydrogen_included_radii_set(enum core::scoring::sasa::SasaRadii) –> void

set_implicit_hydrogen_included_radii_set(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, radii_set: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) → None¶

Radii set to use when not including hydrogens (naccess/chothia, legacy): Do not use legacy unless you know what you are doing and why.

C++: core::scoring::sasa::SasaCalc::set_implicit_hydrogen_included_radii_set(enum core::scoring::sasa::SasaRadii) –> void

set_include_carbon_sulfer_only_in_hydrophobic_calc(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, include_c_s_only: bool) → None¶

Typically, only carbon or sulfers are included in the calculation. If you are using ligands - this may not be good enough.

C++: core::scoring::sasa::SasaCalc::set_include_carbon_sulfer_only_in_hydrophobic_calc(bool) –> void

set_include_hydrogens_explicitly(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, include_hydrogens: bool) → None¶

Include hydrogens explicitly

C++: core::scoring::sasa::SasaCalc::set_include_hydrogens_explicitly(bool) –> void

set_include_probe_radius_in_atom_radii(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, include_probe_radius: bool) → None¶

This is typically done. Disabling it is more akin to obtaining the Surface Area than the SASA

C++: core::scoring::sasa::SasaCalc::set_include_probe_radius_in_atom_radii(bool) –> void

set_polar_charge_cutoff(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, cutoff: float) → None¶: C++: core::scoring::sasa::SasaCalc::set_polar_charge_cutoff(double) –> void

set_probe_radius(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, probe_radius: float) → None¶

Probe radius of 1.4 (water) is typically used

C++: core::scoring::sasa::SasaCalc::set_probe_radius(double) –> void

set_use_big_polar_hydrogen(self: pyrosetta.rosetta.core.scoring.sasa.SasaCalc, big_polar_h: bool) → None¶

Not for general use. Used to calculate unsatisfied buried polars with legacy radii (which implicitly had included hydrogens.)

C++: core::scoring::sasa::SasaCalc::set_use_big_polar_hydrogen(bool) –> void

class pyrosetta.rosetta.core.scoring.sasa.SasaMethod¶

Bases: pybind11_builtins.pybind11_object

Abstract base class for SasaMethods. Feel free to edit as needed.

__delattr__¶: Implement delattr(self, name).

__dir__() → list¶: default dir() implementation

__eq__¶: Return self==value.

__format__()¶: default object formatter

__ge__¶: Return self>=value.

__getattribute__¶: Return getattr(self, name).

__gt__¶: Return self>value.

__hash__¶: Return hash(self).

__init__(*args, **kwargs)¶

Overloaded function.

__init__(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, probe_radius: float, radii_set: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) -> None
__init__(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, arg0: pyrosetta.rosetta.core.scoring.sasa.SasaMethod) -> None

__init_subclass__()¶

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

__le__¶: Return self<=value.

__lt__¶: Return self<value.

__ne__¶: Return self!=value.

__new__()¶: Create and return a new object. See help(type) for accurate signature.

__reduce__()¶: helper for pickle

__reduce_ex__()¶: helper for pickle

__repr__¶: Return repr(self).

__setattr__¶: Implement setattr(self, name, value).

__sizeof__() → int¶: size of object in memory, in bytes

__str__¶: Return str(self).

__subclasshook__()¶

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).

assign(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, : pyrosetta.rosetta.core.scoring.sasa.SasaMethod) → pyrosetta.rosetta.core.scoring.sasa.SasaMethod¶: C++: core::scoring::sasa::SasaMethod::operator=(const class core::scoring::sasa::SasaMethod &) –> class core::scoring::sasa::SasaMethod &

calculate(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, pose: pyrosetta.rosetta.core.pose.Pose, atom_subset: pyrosetta.rosetta.core.id.AtomID_Map_bool_t, atom_sasa: pyrosetta.rosetta.core.id.AtomID_Map_double_t, rsd_sasa: pyrosetta.rosetta.utility.vector1_double) → float¶

Calculate Sasa. Atoms not calculated have -1 sasa in AtomID_Map. This is carried over for compatability purposes.

C++: core::scoring::sasa::SasaMethod::calculate(const class core::pose::Pose &, const class core::id::AtomID_Map<bool> &, class core::id::AtomID_Map<double> &, class utility::vector1<double, class std::allocator<double> > &) –> double

get_name(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod) → str¶: C++: core::scoring::sasa::SasaMethod::get_name() const –> std::string

set_include_probe_radius_in_calc(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, include_probe_radius: bool) → None¶

Include the probe radius in calc. Typical for SASA.

C++: core::scoring::sasa::SasaMethod::set_include_probe_radius_in_calc(bool) –> void

set_probe_radius(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, probe_radius: float) → None¶

Set the probe radius. Typical value is that of water at 1.4 A

C++: core::scoring::sasa::SasaMethod::set_probe_radius(double) –> void

set_radii_set(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, radii_set: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) → None¶

Set the radii type.

C++: core::scoring::sasa::SasaMethod::set_radii_set(enum core::scoring::sasa::SasaRadii) –> void

set_use_big_polar_hydrogen(self: pyrosetta.rosetta.core.scoring.sasa.SasaMethod, big_polar_h: bool) → None¶

Legacy option to increase polar hydrogen radii to 1.08A. Supported for now.

C++: core::scoring::sasa::SasaMethod::set_use_big_polar_hydrogen(bool) –> void

class pyrosetta.rosetta.core.scoring.sasa.SasaRadii¶

Bases: pybind11_builtins.pybind11_object

Type of Radii to use.

LJ: Refers to Leonard Jones radii - Rosetta uses radii at the minimum of the potential (sigma2). Legacy: Refers to radii optimized for a no longer in use term, but some protocols have been optimized to use it. naccess: Refers to radii used in the program naccess. Originally derived from Chothia. Do not use for all-atom SASA as hydrogens are implicitly included.

‘The Nature of the Accessible and Buried Surfaces in Proteins’ J. Mol. Biol. (1976) 105, 1-14

reduce: Radii used by the program reduce. Hydrogens are explicitly included in the radii.

__delattr__¶: Implement delattr(self, name).

__dir__() → list¶: default dir() implementation

__eq__(*args, **kwargs)¶

Overloaded function.

__eq__(self: pyrosetta.rosetta.core.scoring.sasa.SasaRadii, arg0: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) -> bool
__eq__(self: pyrosetta.rosetta.core.scoring.sasa.SasaRadii, arg0: int) -> bool

__format__()¶: default object formatter

__ge__¶: Return self>=value.

__getattribute__¶: Return getattr(self, name).

__getstate__(self: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) → tuple¶

__gt__¶: Return self>value.

__hash__(self: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) → int¶

__init__(self: pyrosetta.rosetta.core.scoring.sasa.SasaRadii, arg0: int) → None¶

__init_subclass__()¶

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

__int__(self: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) → int¶

__le__¶: Return self<=value.

__lt__¶: Return self<value.

__ne__(*args, **kwargs)¶

Overloaded function.

__ne__(self: pyrosetta.rosetta.core.scoring.sasa.SasaRadii, arg0: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) -> bool
__ne__(self: pyrosetta.rosetta.core.scoring.sasa.SasaRadii, arg0: int) -> bool

__new__()¶: Create and return a new object. See help(type) for accurate signature.

__reduce__()¶: helper for pickle

__reduce_ex__()¶: helper for pickle

__repr__(self: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) → str¶

__setattr__¶: Implement setattr(self, name, value).

__setstate__(self: pyrosetta.rosetta.core.scoring.sasa.SasaRadii, arg0: tuple) → None¶

__sizeof__() → int¶: size of object in memory, in bytes

__str__¶: Return str(self).

__subclasshook__()¶

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).

pyrosetta.rosetta.core.scoring.sasa.create_sasa_method(method: pyrosetta.rosetta.core.scoring.sasa.SasaMethodEnum, probe_radius: float, radii_set: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) → pyrosetta.rosetta.core.scoring.sasa.SasaMethod¶

Very (very) basic implementation until I understand the regular implementation used by constraints/features/etc.: Also used for me to debug everything else before creating the real factory.

C++: core::scoring::sasa::create_sasa_method(enum core::scoring::sasa::SasaMethodEnum, double, enum core::scoring::sasa::SasaRadii) –> class std::shared_ptr<class core::scoring::sasa::SasaMethod>

pyrosetta.rosetta.core.scoring.sasa.get_legrand_2way_orientation(a_xyz: pyrosetta.rosetta.numeric.xyzVector_double_t, b_xyz: pyrosetta.rosetta.numeric.xyzVector_double_t, phi_a2b_index: int, theta_a2b_index: int, phi_b2a_index: int, theta_b2a_index: int, distance_ijxyz: float) → None¶

Gets the orientation of a to b (i to j, see below). Does this by calculating two angles, aphi and theta. (j)

This function is the same as the function above but get the orientation of a to b simultaneously with the orientation of b to a. The same result could be achieved by making two separate get_2way_orientation() calls but this method does it more efficiently by avoiding an atan2 and acos call. Instead, once you compute the phi and theta for a on b, you can add/subtrate pi factors to get the phi and theta for b on a. Still not sure how this method returns the correct values, though. (ronj)

C++: core::scoring::sasa::get_legrand_2way_orientation(const class numeric::xyzVector<double> &, const class numeric::xyzVector<double> &, int &, int &, int &, int &, double) –> void

pyrosetta.rosetta.core.scoring.sasa.get_legrand_atomic_overlap(radius_a: float, radius_b: float, distance_ijxyz: float, degree_of_overlap: int) → None¶

getting overlap from a to b (or i to j, as the atoms are referred to in calc_per_atom_sasa below).

this returns the degree of overlap between two atoms adapted from erics code in area.c GetD2 and returns value from 1 to 100. This calculation is based on the law of cosines. See LeGrand and Merz, Journal of Computational Chemistry 14(3):349-52 (1993). Note that equation (4) is wrong, the denominator should be 2*ri*riq instead of 2*ri*rq (j)

The function gets passed in the sasa radius of atom i (plus the probe radius), the sasa radius of atom j (plus the probe radius), the distance between the atom centers, and a reference to the degree of overlap (represented as an int). The degree of overlap that’s returned can be thought of as how much of atom a is covered by atom b. A value of 100 means that atom a is completely covered up by atom b. A value of 1 means that not much of the surface of ‘a’ is covered up by ‘b’. The law of cosines relates the cosine of one angle of a triangle to the lengths of its sides. More specifically, c^2 = a^2 + b^2 - 2*a*b*cos theta, where theta is the angle between sides a and b. For the function we want to compute the angle of the cone of intersection between spheres ‘a’ and ‘b’. Let the radius of atom a be ri, and the radius of atom b be rq, and the distance between atom centers be riq. Let the angle between ri and riq be theta_iq. The cosine of theta_iq will be equivalent to ( ri^2 + riq^2 - rq^2 ) / 2 * ri * riq

C++: core::scoring::sasa::get_legrand_atomic_overlap(const double, const double, const double, int &) –> void

pyrosetta.rosetta.core.scoring.sasa.get_legrand_orientation(a_xyz: pyrosetta.rosetta.numeric.xyzVector_double_t, b_xyz: pyrosetta.rosetta.numeric.xyzVector_double_t, phi_index: int, theta_index: int, distance_ijxyz: float) → None¶

Note: I think phi and theta have been reversed in the function below. The code below uses the following:

phi = arccos( z ) theta = arctan( y / x )

After a couple of weeks trying to write tests for this function, I have been unsuccessful in figuring out why it’s doing what it does. Despite using the wrong equations, it seems to work. Comparing the total residue SASA values calculated by calc_per_atom_sasa() below results in a correlation of 0.98 against what the program NACCESS finds for the same residues. This test was done on a small 110aa protein. I also looked at the per-atom total SASA and the correlation for all atoms (mini v. NACCESS) was approximately 0.94. I’m using exactly the same van der Waals radii for both programs so I feel like the correlations should be 1.0. Explanations for the differences can be 1) this method is doing something wrong in calculating the closest surface point, 2) this method is correct but the masks that are in the database are not aligned to the surface points correctly, 3) the differences are solely due to the different way that the two program calculate surface area. (ronj)

C++: core::scoring::sasa::get_legrand_orientation(const class numeric::xyzVector<double> &, const class numeric::xyzVector<double> &, int &, int &, double) –> void

pyrosetta.rosetta.core.scoring.sasa.get_legrand_sasa_angles() → ObjexxFCL::FArray2D<int>¶

Returns const access to the angles FArray, which contains the information in the SASA database file sampling/SASA-angles.dat.: Adding this in so that the values in the SASA database files can be used in SASA-based scores. (ronj)

C++: core::scoring::sasa::get_legrand_sasa_angles() –> const class ObjexxFCL::FArray2D<int> &

pyrosetta.rosetta.core.scoring.sasa.get_legrand_sasa_masks() → ObjexxFCL::FArray2D<ObjexxFCL::ubyte>¶

Returns const access to the masks FArray, which contains the information in the SASA database file sampling/SASA-masks.dat.: Adding this in so that the values in the SASA database files can be used in SASA-based scores. (ronj)

C++: core::scoring::sasa::get_legrand_sasa_masks() –> const class ObjexxFCL::FArray2D<class ObjexxFCL::ubyte> &

pyrosetta.rosetta.core.scoring.sasa.get_sasa_method_from_string(method: str) → pyrosetta.rosetta.core.scoring.sasa.SasaMethodEnum¶

Gets sasa enum from string passed by options system.

C++: core::scoring::sasa::get_sasa_method_from_string(class std::basic_string<char>) –> enum core::scoring::sasa::SasaMethodEnum

pyrosetta.rosetta.core.scoring.sasa.get_sasa_radii_parameter_name(radii_set: pyrosetta.rosetta.core.scoring.sasa.SasaRadii) → str¶

Get string name of SASA radii used to obtain extra parameter index from atom_type_set

C++: core::scoring::sasa::get_sasa_radii_parameter_name(enum core::scoring::sasa::SasaRadii) –> std::string

pyrosetta.rosetta.core.scoring.sasa.get_sasa_radii_set_from_string(radii_set: str) → pyrosetta.rosetta.core.scoring.sasa.SasaRadii¶

Gets sasa radii enum from string passed by options system.

C++: core::scoring::sasa::get_sasa_radii_set_from_string(class std::basic_string<char>) –> enum core::scoring::sasa::SasaRadii

pyrosetta.rosetta.core.scoring.sasa.get_sc_bb_sasa(pose: pyrosetta.rosetta.core.pose.Pose, atom_sasa: pyrosetta.rosetta.core.id.AtomID_Map_double_t) → Tuple[float, float]¶

Calculate the sidechain and backbone sasa from atom sasa

C++: core::scoring::sasa::get_sc_bb_sasa(const class core::pose::Pose &, const class core::id::AtomID_Map<double> &) –> struct std::pair<double, double>

pyrosetta.rosetta.core.scoring.sasa.get_sc_bb_sasa_per_res(pose: pyrosetta.rosetta.core.pose.Pose, atom_sasa: pyrosetta.rosetta.core.id.AtomID_Map_double_t) → Tuple[pyrosetta.rosetta.utility.vector1_double, pyrosetta.rosetta.utility.vector1_double]¶: C++: core::scoring::sasa::get_sc_bb_sasa_per_res(const class core::pose::Pose &, const class core::id::AtomID_Map<double> &) –> struct std::pair<class utility::vector1<double, class std::allocator<double> >, class utility::vector1<double, class std::allocator<double> > >

pyrosetta.rosetta.core.scoring.sasa.input_legrand_sasa_dats() → None¶

Reads in the SASA database files sampling/SASA-angles.dat and sampling/SASA-masks.dat into FArrays above.

C++: core::scoring::sasa::input_legrand_sasa_dats() –> void

pyrosetta.rosetta.core.scoring.sasa.is_res_exposed(pose: pyrosetta.rosetta.core.pose.Pose, resnum: int) → bool¶

Is residue exposed?

Added by JKLeman (julia.koehler1982.com)

Uses the function rel_per_res_sc_sasa above THIS IS EXPENSIVE, BE AWARE!!! IF YOU NEED TO RUN IT OVER THE ENTIRE PROTEIN, USE THE rel_per_res_sc_sasa FUNCTION INSTEAD!

C++: core::scoring::sasa::is_res_exposed(const class core::pose::Pose &, unsigned long) –> bool

pyrosetta.rosetta.core.scoring.sasa.per_res_sc_sasa(pose: pyrosetta.rosetta.core.pose.Pose) → pyrosetta.rosetta.utility.vector1_double¶

Absolute per residue sidechain SASA

Added by JKLeman (julia.koehler1982.com)

GXG tripeptide values for sidechain SASA are taken from http://www.proteinsandproteomics.org/content/free/tables_1/table08.pdf

C++: core::scoring::sasa::per_res_sc_sasa(const class core::pose::Pose &) –> class utility::vector1<double, class std::allocator<double> >

pyrosetta.rosetta.core.scoring.sasa.rel_per_res_sc_sasa(pose: pyrosetta.rosetta.core.pose.Pose) → pyrosetta.rosetta.utility.vector1_double¶

Relative per residue sidechain SASA

Added by JKLeman (julia.koehler1982.com)

GXG tripeptide values for sidechain SASA are taken from http://www.proteinsandproteomics.org/content/free/tables_1/table08.pdf

C++: core::scoring::sasa::rel_per_res_sc_sasa(const class core::pose::Pose &) –> class utility::vector1<double, class std::allocator<double> >