Source code for mordred.CPSA

r"""charged partial surface area descriptor.

References
    * :doi:`10.1021/ac00220a013`
"""
import numpy as np

from ._base import Descriptor
from ._util import atoms_to_numpy
from .surface_area import SurfaceArea
from ._atomic_property import AtomicProperty, vdw_radii

__all__ = (
    'PNSA', 'PPSA',
    'DPSA',
    'FNSA', 'FPSA',
    'WNSA', 'WPSA',
    'RNCG', 'RPCG',
    'RNCS', 'RPCS',
    'TASA', 'TPSA',
    'RASA', 'RPSA',
)


class CPSABase(Descriptor):
    __slots__ = ()
    require_3D = True

    @classmethod
    def preset(cls):
        yield cls()

    def parameters(self):
        return ()

    def __str__(self):
        return self.__class__.__name__

    rtype = float


class VersionCPSABase(CPSABase):
    __slots__ = '_version',

    @classmethod
    def preset(cls):
        return map(cls, cls.versions)

    def parameters(self):
        return self._version,

    versions = [1, 2, 3, 4, 5]

    def __init__(self, version=1):
        self._version = version

    def __str__(self):
        return '{}{}'.format(self.__class__.__name__, self._version)


class AtomicSurfaceArea(CPSABase):
    __slots__ = '_solvent_radius', '_level'

    def parameters(self):
        return self._solvent_radius, self._level

    def __init__(self, solvent_radius=1.4, level=5):
        self._solvent_radius = solvent_radius
        self._level = level

    def calculate(self):
        rs = atoms_to_numpy(lambda a: vdw_radii[a.GetAtomicNum()] + self._solvent_radius, self.mol)

        with self.rethrow_zerodiv():
            sa = SurfaceArea(rs, self.coord, self._level)
        return np.array(sa.surface_area())

    rtype = None


class TotalSurfaceArea(CPSABase):
    __slots__ = ()

    def dependencies(self):
        return {'ASA': AtomicSurfaceArea()}

    def calculate(self, ASA):
        return np.sum(ASA)


class AtomicCharge(CPSABase):
    __slots__ = ()
    require_3D = False

    def dependencies(self):
        return {'charges': AtomicProperty(self.explicit_hydrogens, 'c')}

    def calculate(self, charges):
        return charges

    rtype = None


[docs]class PNSA(VersionCPSABase): r"""partial negative surface area descriptor. .. math:: {\rm PNSA}_1 = \sum_{a-} {\rm SA}_a^- where :math:`\sum_{a-}` means sum over negative charged atoms, :math:`{\rm SA}_a^-` is atomic partial surface area. :type version: int :param version: one of :py:attr:`versions` """ __slots__ = () def dependencies(self): return { 'SA': AtomicSurfaceArea(), 'charges': AtomicCharge(), } @staticmethod def _mask(charges): return charges < 0.0 def calculate(self, SA, charges): mask = self._mask(charges) if self._version == 1: f = 1.0 elif self._version == 2: f = np.sum(charges[mask]) elif self._version == 3: f = charges[mask] elif self._version == 4: f = np.sum(charges[mask]) / self.mol.GetNumAtoms() elif self._version == 5: with self.rethrow_zerodiv(): f = np.sum(charges[mask]) / np.sum(mask) return np.sum(f * SA[mask])
[docs]class PPSA(PNSA): r"""partial positive surface area descriptor. :type version: int :param version: one of :py:attr:`versions` """ __slots__ = () @staticmethod def _mask(charges): return charges > 0.0
[docs]class DPSA(VersionCPSABase): r"""difference in charged partial surface area descriptor. :type version: int :param version: one of :py:attr:`versions` """ __slots__ = () def dependencies(self): return { 'PPSA': PPSA(self._version), 'PNSA': PNSA(self._version), } def calculate(self, PPSA, PNSA): return PPSA - PNSA
[docs]class FNSA(VersionCPSABase): r"""fractional charged partial negative surface area descriptor. :type version: int :param version: one of :py:attr:`versions` """ __slots__ = () def _SA(self): return PNSA(self._version) def dependencies(self): return { 'ASA': AtomicSurfaceArea(), 'SA': self._SA(), } def calculate(self, SA, ASA): return SA / np.sum(ASA)
[docs]class FPSA(FNSA): r"""fractional charged partial positive surface area descriptor. :type version: int :param version: one of :py:attr:`versions` """ __slots__ = () def _SA(self): return PPSA(self._version)
class WxSAMixin(object): def calculate(self, SA, ASA): return SA * np.sum(ASA) / 1000.0
[docs]class WNSA(WxSAMixin, FNSA): r"""surface weighted charged partial negative surface area descriptor. :type version: int :param version: one of :py:attr:`versions` """ __slots__ = ()
[docs]class WPSA(WxSAMixin, FPSA): r"""surface weighted charged partial positive surface area descriptor. :type version: int :param version: one of :py:attr:`versions` """ __slots__ = ()
[docs]class RNCG(CPSABase): r"""relative negative charge descriptor.""" __slots__ = () require_3D = False @staticmethod def _mask(charges): return charges < 0.0 def dependencies(self): return {'charges': AtomicCharge()} def calculate(self, charges): charges = charges[self._mask(charges)] if len(charges) == 0: return 0.0 Qmax = charges[np.argmax(np.abs(charges))] return Qmax / np.sum(charges)
[docs]class RPCG(RNCG): r"""relative positive charge descriptor.""" __slots__ = () @staticmethod def _mask(charges): return charges > 0.0
[docs]class RNCS(CPSABase): r"""relative negative charge surface area descriptor.""" __slots__ = () _RCG = RNCG() def dependencies(self): return { 'RCG': self._RCG, 'SA': AtomicSurfaceArea(), 'charges': AtomicCharge(), } @staticmethod def _mask(charges): return charges < 0 def calculate(self, RCG, SA, charges): mask = self._mask(charges) charges = charges[mask] if len(charges) == 0: return 0.0 SAmax = SA[mask][np.argmax(np.abs(charges))] return SAmax / RCG rtype = float
[docs]class RPCS(RNCS): r"""relative positive charge surface area descriptor.""" __slots__ = () @staticmethod def _mask(charges): return charges > 0 _RCG = RPCG()
[docs]class TASA(CPSABase): r"""total hydrophobic surface area descriptor.""" __slots__ = () @staticmethod def _mask(charges): return np.abs(charges) < 0.2 def dependencies(self): return { 'SA': AtomicSurfaceArea(), 'charges': AtomicCharge(), } def calculate(self, SA, charges): return np.sum(SA[self._mask(charges)])
[docs]class TPSA(TASA): r"""total polar surface area descriptor.""" __slots__ = () @staticmethod def _mask(charges): return np.abs(charges) >= 0.2
[docs]class RASA(CPSABase): r"""relative hydrophobic surface area descriptor.""" __slots__ = () _TxSA = TASA() def dependencies(self): return { 'TxSA': self._TxSA, 'SASA': AtomicSurfaceArea(), } def calculate(self, TxSA, SASA): return TxSA / np.sum(SASA)
[docs]class RPSA(RASA): r"""relative polar surface area descriptor.""" __slots__ = () _TxSA = TPSA()