# Copyright 2021-2023 @ Shenzhen Bay Laboratory &
# Peking University &
# Huawei Technologies Co., Ltd
#
# This code is a part of MindSPONGE:
# MindSpore Simulation Package tOwards Next Generation molecular modelling.
#
# MindSPONGE is open-source software based on the AI-framework:
# MindSpore (https://www.mindspore.cn/)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""
Molecule
"""
import copy
import itertools
from typing import Union, List, Tuple
import numpy as np
from numpy import ndarray
import mindspore as ms
from mindspore import Parameter
from mindspore import ops
from mindspore.ops import functional as F
from mindspore.nn import Cell
from mindspore.common import Tensor
from mindspore import numpy as msnp
from ..modelling.pdb_generator import gen_pdb
from ..modelling.mol2_parser import mol2parser
from ..modelling.hadder import read_pdb
from ..residue.residue import Residue
from ..residue.amino import AminoAcid
from ...data.template import get_molecule, get_template
from ...colvar import Colvar
from ...colvar.atoms import AtomsBase
from ...colvar.atoms import get_atoms as _get_atoms
from ...function import functions as func
from ...function.units import Units, GLOBAL_UNITS
from ...function.functions import get_ms_array, get_ndarray, get_arguments
from ...function.functions import keepdims_prod, bonds_in
from ...function import length_convert
RESIDUE_NAMES = ['ALA', 'ARG', 'ASN', 'ASP', 'CYS', 'GLN', 'GLU', 'GLY', 'HID', 'HIS',
'ILE', 'LEU', 'LYS', 'MET', 'PHE', 'PRO', 'SER', 'THR', 'TRP', 'TYR', 'VAL']
N_RESIDUE_NAMES = ['N' + res for res in RESIDUE_NAMES]
C_RESIDUE_NAMES = ['C' + res for res in RESIDUE_NAMES]
RESIDUE_NAMES += N_RESIDUE_NAMES
RESIDUE_NAMES += C_RESIDUE_NAMES
# mol/L
_DENSITY = 55
# NW/A^3
DENSITY = _DENSITY * 6.022E23 / 1e03 ** 9
_AVGDIS = DENSITY ** (-1 / 3)
AVGDIS = _AVGDIS * 1.
[文档]class Molecule(Cell):
r"""
Base class for molecular system, used as the "system module" in MindSPONGE.
The `Molecule` Cell can represent a molecule or a system consisting of multiple molecules.
The major components of the `Molecule` Cell is the `Residue` Cell. A `Molecule` Cell can
contain multiple `Residue` Cells.
Args:
atoms(Union[List[Union[str, int]], ndarray]): Array of atoms. The data in array can be str of atom
name or int of atomic number. Defulat: ``None``
atom_name(Union[List[str], ndarray]): Array of atom name with data type `str`. Defulat: ``None``
atom_type(Union[List[str], ndarray]): Array of atom type with data type `str`. Defulat: None
atom_mass(Union[Tensor, ndarray, List[float]]): Array of atom mass of shape :math:`(B, A)` with data type
`float` where B represents the batchsize, i.e. the number
of walker in the system, A represents the number of atoms.
Defulat: ``None``
atom_charge(Union[Tensor, ndarray, List[float]]): Array of atom charge of shape :math:`(B, A)` with data type
`float`. Defulat: ``None``
atomic_number(Union[Tensor, ndarray, List[float]]): Array of atomic number of shape :math:`(B, A)` with data
type `int`. Defulat: ``None``
bond(Union[Tensor, ndarray, List[int]]): Array of bond connection of shape :math:`(B, b, 2)` with
data type `int` where b represents the number of bonds.
Defulat: ``None``
coordinate(Union[Tensor, ndarray, List[float]]): Tensor of atomic coordinates :math:`R` of shape
:math:`(B, A, D)` with data type `float` where D represents
the spatial dimension of the simulation system,
usually is 3. Default: ``None``
pbc_box(Union[Tensor, ndarray, List[float]]): Tensor of box size :math:`\vec{L}` of periodic boundary
condition (PBC). The shape of tensor is :math:`(B, D)`
and the data type is `float`. Default: ``None``
template(Union[dict, str, List[Union[dict, str]]]): Template for molecule. It can be a `dict` in MindSPONGE
template format or a `str` for the filename of a
MindSPONGE template file. If a `str` is given,
it will first look for a file with the same name in the
current directory. If the file does not exist, it will
search in the built-in template directory of
MindSPONGE (`mindsponge.data.template`).
Default: ``None``.
residue(Union[Residue, List[Residue]]): Residue or a list of residues. If template is not ``None``,
only the residues in the template will be used.
Default: ``None``.
length_unit(str): Length unit. If ``None`` is given, the global length
units will be used. Default: ``None``
kwargs(dict): Other parameters for extension
Outputs:
- coordinate, Tensor of shape `(B, A, D)`. Data type is float.
- pbc_box, Tensor of shape `(B, D)`. Data type is float.
Supported Platforms:
``Ascend`` ``GPU``
"""
def __init__(self,
atoms: Union[List[Union[str, int]], ndarray] = None,
atom_name: Union[List[str], ndarray] = None,
atom_type: Union[List[str], ndarray] = None,
atom_mass: Union[Tensor, ndarray, List[float]] = None,
atom_charge: Union[Tensor, ndarray, List[float]] = None,
atomic_number: Union[Tensor, ndarray, List[float]] = None,
bonds: Union[Tensor, ndarray, List[int]] = None,
coordinate: Union[Tensor, ndarray, List[float]] = None,
pbc_box: Union[Tensor, ndarray, List[float]] = None,
template: Union[dict, str, List[Union[dict, str]]] = None,
residue: Union[Residue, List[Residue]] = None,
length_unit: str = None,
**kwargs,
):
super().__init__()
self._kwargs = get_arguments(locals(), kwargs)
if length_unit is None:
length_unit = GLOBAL_UNITS.length_unit
self.units = Units(length_unit, GLOBAL_UNITS.energy_unit)
self.template = template
if template is not None:
molecule, template = get_molecule(template)
residue: list = []
for res in molecule.get('residue'):
residue.append(Residue(name=res, template=template))
if coordinate is None:
coordinate = np.array(molecule.get('coordinate'), np.float32)
coordinate *= self.units.convert_length_from(molecule.get('length_unit'))
self.num_residue = 1
if residue is None or not residue:
if atoms is not None:
atoms = get_ndarray(atoms)
if np.issubdtype(atoms.dtype, np.integer):
if atomic_number is None:
atomic_number = atoms
elif np.issubdtype(atoms.dtype, np.character):
if atom_name is None:
atom_name = atoms
else:
raise TypeError(
'The dtype of atoms must be integer of character!')
if atom_name is not None or atomic_number is not None:
residue = Residue(
atom_name=atom_name,
atom_type=atom_type,
atom_mass=atom_mass,
atom_charge=atom_charge,
atomic_number=atomic_number,
bonds=bonds,
)
self.residue: List[Residue] = None
self.num_residue = 0
if residue is not None:
if isinstance(residue, list):
self.residue = residue
elif isinstance(residue, Residue):
self.residue = [residue]
else:
raise ValueError(f'The type of residue must be Residue or list but got: {type(residue)}')
# The number of multi_system of system
self.multi_system = 1
# A: number of atoms
self.num_atoms = 0
self.dimension = None
self.num_walker = None
self.degrees_of_freedom = None
self.use_pbc = False
self.num_com = None
self.image = None
# (B, A)
self.atom_name: ndarray = None
self.atom_type: ndarray = None
self.atom_mass: Tensor = None
self.atom_mask: Tensor = None
self.atomic_number: Tensor = None
self.inv_mass: Tensor = None
self.atom_charge: Parameter = None
# (B, R)
self.residue_mass = None
self.residue_name = None
self.res_natom_tensor = None
# (R)
self.residue_pointer = None
# (A)
self.atom_resid = None
self.image_index = None
self.multi_bonds = False
# (B, C, 2)
self.bonds: Tensor = None
self.h_bonds: Tensor = None
# (B, S, 3)
self.settle_index: Tensor = None
self.remaining_index: Tensor = None
# (B, S, 2)
self.settle_length: Tensor = None
self.force_settle = False
self.angles: Tensor = None
self.dihedrals: Tensor = None
self.improper_dihedrals: Tensor = None
self.angle_vertices = None
self.improper_axis_atoms = None
# (B, C): bond length for constraint
self.bond_length = None
# (B, A, D)
self.coordinate: Parameter = None
# (B, D)
self.pbc_box: Parameter = None
# (B,1)
self.system_mass = None
self.has_empty_atom = None
self.system_natom = None
self.build_system()
if self.residue is not None:
self.build_space(coordinate, pbc_box)
@property
def shape(self):
r"""
Shape of atomic coordinate.
Returns:
Tuple, atomic coordinate.
"""
return self.coordinate.shape
@property
def ndim(self):
r"""
Ndim of atomic coordinate.
Returns:
int, number of dims of atomic coordinate.
"""
return self.coordinate.ndim
@property
def length_unit(self):
r"""
Length unit.
Returns:
str, length unit.
"""
return self.units.length_unit
@property
def heavy_atom_mask(self):
r"""
mask for heavy (non-hydrogen) atoms.
Returns:
Tensor, mask for heavy atoms.
"""
return msnp.where(self.atomic_number[0] > 1, 0, 1)
[文档] def convert_length_from(self, unit) -> float:
"""
Convert length from a specified units.
Args:
unit(Union[str, Units, Length, float, int]): Length unit.
Returns:
float, length according to a specified units.
"""
return self.units.convert_length_from(unit)
[文档] def convert_length_to(self, unit) -> float:
"""
Convert length to a specified units.
Args:
unit(Union[str, Units, Length, float, int]): Length unit.
Returns:
float, length according to a specified units.
"""
return self.units.convert_length_to(unit)
[文档] def move(self, shift: Tensor = None):
"""
Move the coordinate of the system.
Args:
shift(Tensor): The displacement distance of the system. Default: ``None``.
"""
if shift is not None:
self.update_coordinate(self.coordinate + Tensor(shift, ms.float32))
return self
[文档] def copy(self, shift: Tensor = None):
"""
Return a Molecule that copy the parameters of this molecule.
Args:
shift(Tensor): The displacement distance of the system. Default: ``None``.
Returns:
class, class Molecule that copy the parameters of this molecule.
"""
coordinate = self.get_coordinate()
if shift is not None:
coordinate += Tensor(shift, ms.float32)
return Molecule(
residue=copy.deepcopy(self.residue),
coordinate=coordinate,
pbc_box=self.get_pbc_box(),
length_unit=self.length_unit,
)
[文档] def add_residue(self, residue: Residue, coordinate: Tensor = None):
"""
Add residue to this molecule system.
Args:
residue(class): a Residue class of the residue added in the system.
coordinate(Tensor): The coordinate of the input residue. Default: ``None``.
"""
if not isinstance(residue, list):
if isinstance(residue, Residue):
residue = [residue]
else:
raise TypeError(f'The type of residue must be Residue or list but got: {type(residue)}')
self.residue.extend(copy.deepcopy(residue))
self.build_system()
if coordinate is None:
natoms = 0
for res in residue:
natoms += res.num_atoms
coordinate = msnp.ones((self.num_walker, natoms, self.dimension), ms.float32)
coordinate = msnp.concatenate((self.coordinate, coordinate), axis=-2)
self.build_space(coordinate, self.pbc_box)
return self
[文档] def append(self, system):
"""
Append a system to this molecule system.
Args:
system(Molecule): Another molecule system that will be added to this molecule system.
"""
if not isinstance(system, Molecule):
raise TypeError(f'For append, the type of system must be "Molecule" but got: {type(system)}')
self.add_residue(system.residue, system.get_coordinate())
return self
[文档] def reduplicate(self, shift: Tensor):
"""
Duplicate the system to double of the origin size.
Args:
shift(Tensor): The distance moved from the origin system.
"""
shift = Tensor(shift, ms.float32)
self.residue.extend(copy.deepcopy(self.residue))
self.build_system()
coordinate = msnp.concatenate((self.coordinate, self.coordinate + shift), axis=-2)
self.build_space(coordinate, self.pbc_box)
return self
[文档] def build_atom_type(self):
"""Build atom type."""
atom_type = ()
for i in range(self.num_residue):
atom_type += (self.residue[i].atom_type,)
self.atom_type = np.concatenate(atom_type, axis=-1)
return self
[文档] def build_atom_charge(self):
"""Build atom charge."""
charges = []
for i in range(self.num_residue):
charges.append(self.residue[i].atom_charge is not None)
if any(charges):
atom_charge = ()
for i in range(self.num_residue):
if self.residue[i].atom_charge is None:
atom_charge += (msnp.zeros_like(self.residue[i].atom_mass),)
else:
atom_charge += (self.residue[i].atom_charge,)
atom_charge = msnp.concatenate(atom_charge, axis=-1)
self.set_atom_charge(atom_charge)
return self
[文档] def build_system(self):
"""Build the system by residues."""
if self.residue is None:
return self
self.num_residue = len(self.residue)
multi_system = []
charges = []
for i in range(self.num_residue):
multi_system.append(self.residue[i].multi_system)
charges.append(self.residue[i].atom_charge is not None)
multi_system = list(set(multi_system))
if len(multi_system) == 1:
self.multi_system = multi_system[0]
elif len(multi_system) == 2 and (multi_system[0] == 1 or multi_system[1] == 1):
self.multi_system = max(multi_system)
else:
raise ValueError(f'The multi_system of residues cannot be broadcast: {multi_system}')
any_charge = any(charges)
atom_name = ()
atom_type = ()
atom_mass = ()
atom_mask = ()
atom_charge = ()
atomic_number = ()
inv_mass = ()
atom_resid = ()
image_index = ()
residue_mass = ()
res_natom_tensor = ()
bonds = ()
head_atom = None
tail_atom = None
pointer = 0
residue_pointer = []
residue_name = []
res_names = []
settle_index = []
settle_length = []
for i in range(self.num_residue):
if self.residue[i].multi_system != self.multi_system:
self.residue[i].broadcast_multiplicity(self.multi_system)
self.residue[i].set_start_index(pointer)
residue_pointer.append(pointer)
residue_name.append(self.residue[i].name)
res_names.extend([self.residue[i].name] * self.residue[i].num_atoms)
# (A')
atom_resid += (msnp.full((self.residue[i].num_atoms,), i, ms.int32),)
image_index += (msnp.full((self.residue[i].num_atoms,), pointer, ms.int32),)
# (B, A')
atom_name += (self.residue[i].atom_name,)
atom_type += (self.residue[i].atom_type,)
atom_mass += (self.residue[i].atom_mass,)
atom_mask += (self.residue[i].atom_mask,)
atomic_number += (self.residue[i].atomic_number,)
inv_mass += (self.residue[i].inv_mass,)
if any_charge:
if self.residue[i].atom_charge is None:
atom_charge += (msnp.zeros_like(
self.residue[i].atom_mass),)
else:
atom_charge += (self.residue[i].atom_charge,)
# (B, 1)
residue_mass += (self.residue[i].total_mass,)
res_natom_tensor += (self.residue[i].natom_tensor,)
# (B, 1)
head_atom = self.residue_head(i)
if head_atom is not None:
if tail_atom is None:
print(f'Warrning! The head_atom of residue {i} is not None but '
f'the tail_atom of residue {i - 1} is None.')
else:
# (B, 1, 2)
connect = msnp.concatenate(
(F.expand_dims(tail_atom, -2), F.expand_dims(head_atom, -2)), axis=-1)
bonds += (connect,)
# (B, 1, 1)
tail_atom = self.residue_tail(i)
# (B, C', 2)
if self.residue[i].bonds is not None:
bonds += (self.residue[i].bonds + pointer,)
if self.residue[i].settle_index is not None:
settle_index.append(self.residue[i].settle_index + pointer)
settle_length.append(self.residue[i].settle_length *
self.units.convert_length_from(self.residue[i].settle_unit))
pointer += self.residue[i].num_atoms
self.num_atoms = pointer
self.residue_pointer = Tensor(residue_pointer, ms.int32)
self.residue_name = np.array(residue_name, np.str_)
self.res_names = np.array(res_names, np.str_)
# (B, A)
self.atom_name = np.concatenate(atom_name, axis=-1)
self.atom_type = np.concatenate(atom_type, axis=-1)
self.atom_mass = msnp.concatenate(atom_mass, axis=-1)
self.atom_mask = msnp.concatenate(atom_mask, axis=-1)
self.atomic_number = msnp.concatenate(atomic_number, axis=-1)
self.inv_mass = msnp.concatenate(inv_mass, axis=-1)
self.atom_charge = None
if any_charge:
atom_charge = msnp.concatenate(atom_charge, axis=-1)
self.set_atom_charge(atom_charge)
# (A)
self.atom_resid = msnp.concatenate(atom_resid)
self.image_index = msnp.concatenate(image_index)
# (B, R)
self.residue_mass = msnp.concatenate(residue_mass, axis=-1)
self.res_natom_tensor = msnp.concatenate(res_natom_tensor, axis=-1)
# (B, C, 2)
self.bonds = None
if bonds:
self.bonds = msnp.concatenate(bonds, -2)
self.build_h_bonds()
self.build_angle()
self.build_dihedrals()
self.build_improper()
self.settle_index = None
self.remaining_index = None
self.settle_length = None
if settle_index:
self.settle_index = msnp.stack(settle_index, -2)
self.settle_length = msnp.stack(settle_length, -2)
settle_bond_1 = self.settle_index[..., :2]
settle_bond_2 = self.settle_index[..., ::2]
if self.bonds is None:
self.remaining_index = None
else:
remaining_index = msnp.where(bonds_in(self.bonds, settle_bond_1) + bonds_in(self.bonds, settle_bond_2),
0, 1)
self.remaining_index = ops.nonzero(remaining_index)
if self.remaining_index.size == 0:
self.remaining_index = None
else:
self.remaining_index = self.remaining_index[..., 1]
else:
if self.bonds is None:
self.remaining_index = None
else:
remaining_index = ops.ones(self.bonds.shape[:-1], ms.int32)
self.remaining_index = ops.nonzero(remaining_index)[..., 1]
return self
[文档] def build_space(self, coordinate: Tensor, pbc_box: Tensor = None):
"""
Build coordinate and PBC box.
Args:
coordinate(Tensor): The initial coordinate of system. If it's None, the system will
generate a random coordinate as its initial coordinate.
pbc_box(Tensor): The initial pbc_box of the system. If it's None, the system won't use pbc_box.
Default:None
"""
# (B, A, D)
if coordinate is None:
coordinate = np.random.uniform(0, self.units.length(
1, 'nm'), size=(self.multi_system, self.num_atoms, 3))
coordinate = Tensor(coordinate, ms.float32)
coordinate = self._check_coordianate(coordinate)
self.coordinate = Parameter(coordinate, name='coordinate')
self.dimension = self.coordinate.shape[-1]
self.num_walker = self.coordinate.shape[0]
# (B, 1)
self.system_mass = msnp.sum(self.atom_mass, -1, keepdims=True)
self.has_empty_atom = (not self.atom_mask.all())
# (B, 1) <- (B, A)
self.system_natom = msnp.sum(F.cast(self.atom_mask, ms.float32), -1, keepdims=True)
self.identity = ops.Identity()
# (B, D)
if pbc_box is None:
self.pbc_box = None
self.use_pbc = False
self.num_com = self.dimension
self.image = None
else:
self.use_pbc = True
self.num_com = self.dimension
pbc_box = get_ms_array(pbc_box, ms.float32)
if pbc_box.ndim == 1:
pbc_box = F.expand_dims(pbc_box, 0)
if pbc_box.ndim != 2:
raise ValueError('The rank of pbc_box must be 1 or 2!')
if pbc_box.shape[-1] != self.dimension:
raise ValueError(f'The last dimension of "pbc_box" ({pbc_box.shape[-1]}) must be equal to '
f'the dimension of "coordinate" ({self.dimension})!')
if pbc_box.shape[0] > 1 and pbc_box.shape[0] != self.num_walker:
raise ValueError(f'The first dimension of "pbc_box" ({pbc_box.shape[0]}) does not match '
f'the first dimension of "coordinate" ({self.dimension})!')
self.pbc_box = Parameter(pbc_box, name='pbc_box')
self.image = Parameter(msnp.zeros_like(self.coordinate, ms.int32), name='coordinate_image',
requires_grad=False)
self.update_image()
self.degrees_of_freedom = self.dimension * self.num_atoms - self.num_com
return self
[文档] def build_h_bonds(self):
"""
build bonds with hydrogen atom.
"""
bonds = self.bonds[0].asnumpy()
atom_type = self.atom_type[0]
htypes = np.array(["H", "HC", "H1", "HS", "H5", "H4", "HP", "HA", "HO", "HW", "H0", "H2", "H3", "HZ",
"HN", "HX"], np.str_)
hatoms = np.where(np.isin(atom_type, htypes))[0]
bonds_with_h = np.where(np.isin(bonds, hatoms).sum(axis=-1))[0]
# non_hbonds = np.where(np.isin(bonds, hatoms).sum(axis=-1) == 0)[0]
self.h_bonds = Tensor(bonds_with_h, ms.int32)
return self
[文档] def build_angle(self):
r"""build angles for the system"""
if self.bonds is None:
return self
def _construct_angles(bonds, angle_bonds):
for idx in self.angle_vertices:
this_bonds = bonds[np.where(angle_bonds == idx)[0]]
flatten_bonds = this_bonds.flatten()
this_idx = np.delete(flatten_bonds, np.where(flatten_bonds == idx))
yield this_idx
def _combinations(bonds, angle_bonds):
"""
Get all the combinations of 3 atoms.
Args:
bonds (ndarray): Array of bonds.
angle_bonds (ndarray): Array of bonds for angles.
Returns:
np.ndarray, angles.
"""
this_idx = _construct_angles(bonds, angle_bonds)
id_selections = [
[[0, 1]],
[[0, 1], [1, 2], [0, 2]],
[[0, 1], [1, 2], [2, 3], [0, 2], [0, 3], [1, 3]],
]
angles = None
counter = 0
for idx in this_idx:
selections = id_selections[idx.size - 2]
for selection in selections:
if angles is None:
angles = np.insert(idx[selection], 1, self.angle_vertices[counter])[
None, :]
else:
angles = np.append(
angles,
np.insert(idx[selection], 1, self.angle_vertices[counter])[
None, :],
axis=0,
)
counter += 1
return angles
bonds = self.bonds[0].asnumpy()
self.angle_vertices = np.where(np.bincount(bonds.flatten()) > 1)[0]
angle_index = np.where(np.sum(np.isin(bonds, self.angle_vertices), axis=1) > 0)[0]
angle_bonds = bonds[angle_index]
angles = _combinations(bonds, angle_bonds)
if angles is None:
self.angles = None
else:
self.angles = Tensor(angles, ms.int32)
return self
[文档] def build_dihedrals(self):
r"""build dihedral angles for the system"""
if self.bonds is None:
return self
def _trans_dangles(dangles, middle_id):
"""
Construct the dihedrals.
Args:
dangles (ndarray): Array of dangles.
middle_id (ndarray): Array of middle IDs.
Returns:
np.ndarray, dihedrals.
"""
left_id = np.isin(dangles[:, 0], middle_id[0])
left_ele = dangles[:, 2][left_id]
left_id = np.isin(dangles[:, 2], middle_id[0])
left_ele = np.append(left_ele, dangles[:, 0][left_id])
right_id = np.isin(dangles[:, 1], middle_id[0])
right_ele = np.unique(dangles[right_id])
right_ele = right_ele[np.where(
np.isin(right_ele, middle_id, invert=True))[0]]
sides = itertools.product(right_ele, left_ele)
sides_array = np.array(list(sides))
if sides_array.size == 0:
return sides_array
sides = sides_array[np.where(
sides_array[:, 0] != sides_array[:, 1])[0]]
left = np.append(
sides[:, 0].reshape(sides.shape[0], 1),
np.broadcast_to(middle_id, (sides.shape[0],) + middle_id.shape),
axis=1,
)
dihedrals = np.append(
left, sides[:, 1].reshape(sides.shape[0], 1), axis=1)
return dihedrals
def _get_dihedrals(angles, dihedral_middle_id):
"""
Get the dihedrals indexes.
Args:
angles (ndarray): Array of angles.
dihedral_middle_id (ndarray): Array of dihedrals middle indexes.
Returns:
np.ndarray, dihedrals.
"""
dihedrals = None
for i in range(dihedral_middle_id.shape[0]):
dangles = angles[
np.where(
(
np.isin(angles, dihedral_middle_id[i]).sum(axis=1)
* np.isin(angles[:, 1], dihedral_middle_id[i])
)
> 1
)[0]
]
this_sides = _trans_dangles(dangles, dihedral_middle_id[i])
if this_sides.size == 0:
continue
if dihedrals is None:
dihedrals = this_sides
else:
dihedrals = np.append(dihedrals, this_sides, axis=0)
return dihedrals
bonds = self.bonds[0].asnumpy()
angles = self.angles.asnumpy()
dihedral_middle_id = bonds[np.where(np.isin(bonds, self.angle_vertices).sum(axis=1) == 2)[0]]
dihedrals = _get_dihedrals(angles, dihedral_middle_id)
if dihedrals is None:
self.dihedrals = None
else:
self.dihedrals = Tensor(dihedrals, ms.int32)
return self
[文档] def build_improper(self):
r"""Build improper dihedral angles for the system"""
if self.bonds is None:
return self
def _check_improper(bonds, core_id):
"""
Check if there are same improper dihedrals.
Args:
bonds (ndarray): Array of bonds.
core_id (ndarray): Array of core indexes.
Returns:
int, core id of same improper dihedrals.
"""
# pylint: disable=pointless-statement
checked_core_id = core_id.copy()
bonds_hash = [hash(tuple(x)) for x in bonds]
for i in range(core_id.shape[0]):
ids_for_idihedral = np.where(
np.sum(np.isin(bonds, core_id[i]), axis=1) > 0
)[0]
bonds_for_idihedral = bonds[ids_for_idihedral]
uniques = np.unique(bonds_for_idihedral.flatten())
uniques = np.delete(uniques, np.where(uniques == core_id[i])[0])
uniques_product = np.array(list(itertools.product(uniques, uniques)))
uniques_hash = np.array([hash(tuple(x)) for x in itertools.product(uniques, uniques)])
excludes = np.isin(uniques_hash, bonds_hash)
exclude_size = np.unique(uniques_product[excludes]).size
# Exclude condition
if uniques.shape[0] - excludes.sum() <= 2 or exclude_size > 3:
checked_core_id[i] == -1
return checked_core_id[np.where(checked_core_id > -1)[0]]
def _get_improper(bonds, core_id):
"""
Get the improper dihedrals indexes.
Args:
bonds (ndarray): Array of bonds.
core_id (ndarray): Array of core indexes.
Returns:
- improper (np.ndarray).
- new_id (np.ndarray).
"""
improper = None
new_id = None
for i in range(core_id.shape[0]):
ids_for_idihedral = np.where(
np.sum(np.isin(bonds, core_id[i]), axis=1) > 0
)[0]
bonds_for_idihedral = bonds[ids_for_idihedral]
if bonds_for_idihedral.shape[0] == 3:
idihedral = np.unique(bonds_for_idihedral.flatten())[None, :]
if improper is None:
improper = idihedral
new_id = core_id[i]
else:
improper = np.append(improper, idihedral, axis=0)
new_id = np.append(new_id, core_id[i])
else:
# Only SP2 is considered.
continue
return improper, new_id
bonds = self.bonds[0].asnumpy()
core_id = np.where(np.bincount(bonds.flatten()) > 2)[0]
checked_core_id = _check_improper(bonds, core_id)
improper, third_id = _get_improper(bonds, checked_core_id)
if improper is None:
self.improper_dihedrals = None
self.improper_axis_atoms = None
else:
self.improper_dihedrals = Tensor(improper, ms.int32)
self.improper_axis_atoms = Tensor(third_id, ms.int32)
return self
[文档] def set_atom_charge(self, atom_charge: Tensor):
"""
set atom charge
Args:
atom_charge(Tensor): Atom charge.
"""
if atom_charge is None:
self.atom_charge = atom_charge
elif self.atom_charge is None:
self.atom_charge = Parameter(atom_charge, name='atom_charge', requires_grad=False)
else:
F.assign(self.atom_charge, atom_charge)
return self
[文档] def set_bond_length(self, bond_length: Tensor):
"""
Set bond length.
Args:
bond_length(Tensor): Set the bond length of the system.
"""
if self.bonds is None:
raise ValueError('Cannot setup bond_length because bond is None')
bond_length = Tensor(bond_length, ms.float32)
if bond_length.shape != self.bonds.shape[:2]:
raise ValueError(f'The shape of bond_length {self.bond_length.shape} does not match '
f'the shape of bond {self.bonds.shape}')
self.bond_length = bond_length
return self
[文档] def residue_index(self, res_id: int) -> Tensor:
"""
Get index of residue.
Args:
res_id(int): Residue index.
Returns:
Tensor, the system index of the residue.
"""
return self.residue[res_id].system_index
[文档] def residue_bond(self, res_id: int) -> Tensor:
"""
Get bond index of residue.
Args:
res_id(int): Residue index.
Returns:
Tensor, the bond index of residue.
"""
if self.residue[res_id].bonds is None:
return None
return self.residue[res_id].bonds + self.residue[res_id].start_index
[文档] def residue_head(self, res_id: int) -> Tensor:
"""
Get head index of residue.
Args:
res_id(int): Residue index.
Returns:
Tensor, the head index of residue.
"""
if self.residue[res_id].head_atom is None:
return None
return self.residue[res_id].head_atom + self.residue[res_id].start_index
[文档] def residue_tail(self, res_id: int) -> Tensor:
"""
Get tail index of residue.
Args:
res_id(int): Residue index.
Returns:
Tensor, the tail index of residue.
"""
if self.residue[res_id].tail_atom is None:
return None
return self.residue[res_id].tail_atom + self.residue[res_id].start_index
[文档] def residue_coordinate(self, res_id: int) -> Tensor:
"""
Get residue coordinate.
Args:
res_id(int): Residue index.
Returns:
Tensor, residue coordinate in the system.
"""
return F.gather_d(self.coordinate, -2, self.residue[res_id].system_index)
[文档] def get_volume(self) -> Tensor:
"""
Get volume of system.
Returns:
Tensor, the volume of the system. If pbc_box is not used, the volume is None.
"""
if self.pbc_box is None:
return None
return keepdims_prod(self.pbc_box, -1)
[文档] def space_parameters(self) -> list:
"""
Get the parameter of space (coordinates and pbc box).
Returns:
list[Tensor], coordinate and pbc_box. If pbc_box is not used, it will only return coordinate.
"""
if self.pbc_box is None:
return [self.coordinate]
return [self.coordinate, self.pbc_box]
[文档] def trainable_params(self, recurse=True) -> list:
"""
Trainable parameters.
Args:
recurse(bool): If true, yields parameters of this cell and all subcells. Otherwise, only yield parameters
that are direct members of this cell. Default: ``True``.
Returns:
list, all trainable system parameters.
"""
return list(filter(lambda x: x.name.split('.')[-1] == 'coordinate', self.get_parameters(expand=recurse)))
def _check_coordianate(self, coordinate: Tensor) -> Tensor:
"""check coordinate"""
coordinate = Tensor(coordinate, ms.float32)
if coordinate.ndim == 2:
coordinate = F.expand_dims(coordinate, 0)
if coordinate.ndim != 3:
raise ValueError('The rank of "coordinate" must be 2 or 3!')
if coordinate.shape[-2] != self.num_atoms:
raise ValueError(f'The penultimate dimension of "coordinate" ({coordinate.shape[-2]}) must be equal to '
f'the number of atoms ({self.num_atoms})!')
if self.multi_system > 1 and coordinate.shape[0] != self.multi_system:
raise ValueError(f'The first dimension of "coordinate" ({coordinate.shape[0]}) does not match '
f'that of "atom_name" ({self.multi_system})!')
return coordinate
[文档] def update_coordinate(self, coordinate: Tensor) -> Tensor:
"""
Update the parameter of coordinate.
Args:
coordinate(Tensor): Coordinates used to update system coordinates.
Returns:
Tensor, updated coordinate.
"""
coordinate = F.assign(self.coordinate, coordinate)
if self.pbc_box is None:
return coordinate
return F.depend(coordinate, self.update_image())
[文档] def set_coordianate(self, coordinate: Tensor) -> Tensor:
"""
Set the value of coordinate.
Args:
coordinate(Tensor): Coordinates used to set system coordinates.
Returns:
Tensor, the coordinate of the system.
"""
coordinate = self._check_coordianate(coordinate)
if coordinate is not None and coordinate.shape == self.coordinate.shape:
return self.update_coordinate(coordinate)
self.coordinate = Parameter(coordinate, name='coordinate')
self.dimension = self.coordinate.shape[-1]
return self.identity(coordinate)
[文档] def update_pbc_box(self, pbc_box: Tensor) -> Tensor:
"""
Update PBC box
Args:
pbc_box(Tensor): PBC box used to update the system PBC box.
Returns:
Tensor, updated system PBC box.
"""
pbc_box = F.assign(self.pbc_box, pbc_box)
return F.depend(pbc_box, self.update_image())
[文档] def set_pbc_grad(self, grad_box: bool) -> bool:
"""
Set whether to calculate the gradient of PBC box.
Args:
grad_box(bool): Whether to calculate the gradient of PBC box.
Returns:
bool, whether to calculate the gradient of PBC box.
"""
if self.pbc_box is None:
return grad_box
self.pbc_box.requires_grad = grad_box
return self.pbc_box.requires_grad
[文档] def set_pbc_box(self, pbc_box: Tensor = None) -> Tensor:
"""
Set PBC box.
Args:
pbc_box(Tensor): Set the PBC box of the system. If it's None, the system won't use PBC box.
Default: ``None``.
Returns:
Tensor, system PBC box.
"""
if pbc_box is None:
self.pbc_box = None
self.use_pbc = False
self.num_com = self.dimension
else:
self.use_pbc = True
self.num_com = self.dimension * 2
if self.pbc_box is None:
pbc_box = Tensor(pbc_box, ms.float32)
if pbc_box.ndim == 1:
pbc_box = F.expand_dims(pbc_box, 0)
if pbc_box.ndim != 2:
raise ValueError('The rank of pbc_box must be 1 or 2!')
if pbc_box.shape[-1] != self.dimension:
raise ValueError(f'The last dimension of "pbc_box" ({pbc_box.shape[-1]}) must be equal to '
f'the dimension of "coordinate" ({self.dimension})!')
if pbc_box.shape[0] > 1 and pbc_box.shape[0] != self.num_walker:
raise ValueError(f'The first dimension of "pbc_box" ({pbc_box.shape[0]}) does not match '
f'the first dimension of "coordinate" ({self.dimension})!')
self.pbc_box = Parameter(pbc_box, name='pbc_box', requires_grad=True)
else:
if pbc_box.shape != self.pbc_box.shape:
raise ValueError(f'The shape of the new pbc_box {pbc_box.shape} is not equal to '
f'the old one {self.pbc_box.shape}!')
self.update_pbc_box(pbc_box)
return self.pbc_box
[文档] def repeat_box(self, lattices: list):
"""
Repeat the system according to the lattices of PBC box.
Args:
lattices(list): Lattices of PBC box.
"""
if self.pbc_box is None:
raise RuntimeError('repeat_box() cannot be used without pbc_box, '
'please use set_pbc_box() to set pbc_box first '
'before using this function.')
if isinstance(lattices, Tensor):
lattices = lattices.asnumpy()
if isinstance(lattices, ndarray):
lattices = lattices.tolist()
if not isinstance(lattices, list):
raise TypeError(f'The type of lattices must be list, ndarry or Tensor but got: {type(lattices)}')
if len(lattices) != self.dimension:
raise ValueError(f'The number of lattics ({len(lattices)}) must be equal to '
f'the dimension of system ({self.dimension})')
product_ = []
for l in lattices:
if l <= 0:
raise ValueError('The number in lattices must larger than 0!')
product_.append(list(range(l)))
shift_num = tuple(itertools.product(*product_))[1:]
if shift_num:
shift_box = Tensor(shift_num, ms.float32) * self.pbc_box
box = self.copy()
coord = box.get_coordinate()
coordinate = (coord,)
for shift in shift_box:
self.residue.extend(copy.deepcopy(box.residue))
coordinate += (coord + shift,)
self.build_system()
coordinate = msnp.concatenate(coordinate, axis=-2)
self.build_space(coordinate, self.pbc_box)
new_box = Tensor(lattices, ms.int32) * self.pbc_box
self.update_pbc_box(new_box)
return self
[文档] def coordinate_in_pbc(self, shift: float = 0) -> Tensor:
"""
Get the coordinate in a whole PBC box.
Args:
shift(float): Offset ratio relative to box size. Default: 0
Returns:
Tensor, the coordinate in the PBC box. Shape `(B, ..., D)`. Data type is float.
"""
coordinate = self.identity(self.coordinate)
pbc_box = self.identity(self.pbc_box)
return func.coordinate_in_pbc(coordinate, pbc_box, shift)
[文档] def calc_image(self, shift: float = 0) -> Tensor:
r"""
Calculate the image of coordinate.
Args:
shift(float): Offset ratio :math:`c` relative to box size :math:`\vec{L}`.
Default: ``0`` .
Returns:
Tensor, the image of coordinate.
"""
coordinate = self.identity(self.coordinate)
pbc_box = self.identity(self.pbc_box)
image = func.pbc_image(coordinate, pbc_box, shift)
if self.image_index is not None:
image = image[:, self.image_index, :]
return image
[文档] def update_image(self, image: Tensor = None) -> bool:
"""
Update the image of coordinate.
Args:
image(Tensor): The image of coordinate used to update the image of system coordinate. Default: ``None``.
Returns:
bool, whether successfully update the image of coordinate.
"""
if image is None:
image = self.calc_image()
return F.assign(self.image, image)
[文档] def set_length_unit(self, unit):
"""
Set the length unit of system.
Args:
unit(Union[str, Units, Length, float, int]): Length unit.
"""
scale = self.units.convert_length_to(unit)
coordinate = self.coordinate * scale
self.update_coordinate(coordinate)
if self.pbc_box is not None:
pbc_box = self.pbc_box * scale
self.update_pbc_box(pbc_box)
self.units.set_length_unit(unit)
return self
[文档] def calc_colvar(self, colvar: Colvar) -> Tensor:
"""
Calculate the value of specific collective variables in the system.
Args:
colvar(Colvar): Base class for generalized collective variables (CVs) :math:`s(R)`.
Returns:
Tensor, the value of a collective variables :math:`s(R)`.
"""
coordinate = self.identity(self.coordinate)
pbc_box = None if self.pbc_box is None else self.identity(self.pbc_box)
return colvar(coordinate, pbc_box)
[文档] def get_atoms(self, atoms: Union[Tensor, Parameter, ndarray, str, list, tuple]) -> AtomsBase:
"""
Get atoms from the system.
Args:
atoms(Union[Tensor, Parameter, ndarray, str, list, tuple]): List of atoms.
Returns:
class, atoms or groups of atoms.
"""
try:
atoms = _get_atoms(atoms)
except TypeError:
# TODO
pass
return atoms
[文档] def get_coordinate(self, atoms: AtomsBase = None) -> Tensor:
"""
Get Tensor of coordinate.
Args:
atoms(class): Base class for specific atoms group, used as the "atoms group module" in MindSPONGE.
Default: ``None``.
Returns:
Tensor. Coordinate. Data type is float.
"""
coordinate = self.identity(self.coordinate)
if atoms is None:
return coordinate
pbc_box = None if self.pbc_box is None else self.identity(self.pbc_box)
return atoms(coordinate, pbc_box)
[文档] def get_pbc_box(self) -> Tensor:
"""
Get Tensor of PBC box.
Returns:
Tensor, PBC box
"""
if self.pbc_box is None:
return None
return self.identity(self.pbc_box)
[文档] def fill_water(self, edge: float = None, gap: float = None, box: ndarray = None, pdb_out: str = None,
template: str = None):
""" The inner function in Molecule class to add water in a given box.
Args:
edge(float): The water edge around the system.
gap(float): The minimum gap between system atoms and water atoms.
box(Tensor): The pbc box we want, default to be None.
pdb_out(str): The string format pdb file name to store the information of system after filling water.
template(str): The supplemental template of the water molecules filled.
Returns:
new_pbc_box(Tensor), this function will return a pbc_box after filling water.
"""
if template is None:
raise ValueError('The template when filling water must be given!')
atom_names = self.atom_name[0]
res_names = self.res_names
if isinstance(self.atom_resid, Tensor):
res_ids = self.atom_resid.asnumpy()
else:
res_ids = self.atom_resid
if isinstance(self.coordinate, Tensor):
crds = self.coordinate[0].asnumpy()
else:
crds = self.coordinate[0]
crds *= length_convert(self.length_unit, 'A')
edge *= length_convert(self.length_unit, 'A')
if gap is None:
gap = 4.0
else:
gap *= length_convert(self.length_unit, 'A')
min_x = crds[:, 0].min()
min_y = crds[:, 1].min()
min_z = crds[:, 2].min()
max_x = crds[:, 0].max()
max_y = crds[:, 1].max()
max_z = crds[:, 2].max()
size_x = max_x - min_x
size_y = max_y - min_y
size_z = max_z - min_z
if box is None:
box = np.array([size_x + 2 * edge,
size_y + 2 * edge,
size_z + 2 * edge], np.float32)
else:
box = box * length_convert(self.length_unit, 'A')
final_box = box + 0.5 * AVGDIS
print('[MindSPONGE] The box size used when filling water is: {}'.format(final_box *
self.units.convert_length_from('A')))
if (final_box < size_x).any():
raise ValueError("Please given a larger box for adding water molecules.")
origin_x = min_x - edge * 0.9
origin_y = min_y - edge * 0.9
origin_z = min_z - edge * 0.9
num_waters = np.ceil(box / AVGDIS)
total_waters = np.product(num_waters)
print('[MindSPONGE] The edge gap along x axis is {}.'.format((box[0] - size_x) *
self.units.convert_length_from('A') / 2))
print('[MindSPONGE] The edge gap along y axis is {}.'.format((box[1] - size_y) *
self.units.convert_length_from('A') / 2))
print('[MindSPONGE] The edge gap along z axis is {}.'.format((box[2] - size_z) *
self.units.convert_length_from('A') / 2))
o_x = origin_x + (np.arange(total_waters) % num_waters[0]) * AVGDIS
o_y = origin_y + ((np.arange(total_waters) // num_waters[0]) % num_waters[1]) * AVGDIS
o_z = origin_z + ((np.arange(total_waters) // np.product(num_waters[:2])) % num_waters[2]) * AVGDIS
o_crd = np.concatenate((o_x[:, None], o_y[:, None], o_z[:, None]), axis=-1)
dis = np.linalg.norm(crds - o_crd[:, None, :], axis=-1)
filt = np.where((dis <= gap).sum(axis=-1) > 0)
o_crd = np.delete(o_crd, filt, axis=0)
print('[MindSPONGE] Totally {} waters is added to the system!'.format(o_crd.shape[0]))
h1_crd = o_crd + np.array([0.079079641, 0.061207927, 0.0], np.float32) * 10
h2_crd = o_crd + np.array([-0.079079641, 0.061207927, 0.0], np.float32) * 10
water_crd = np.hstack((o_crd, h1_crd, h2_crd)).reshape((-1, 3))
water_names = np.array(['O', 'H1', 'H2'] * o_crd.shape[0], np.str_)
water_res = np.array(['WAT'] * water_crd.shape[0], np.str_)
water_resid = np.concatenate((np.arange(o_crd.shape[0])[:, None],
np.arange(o_crd.shape[0])[:, None],
np.arange(o_crd.shape[0])[:, None]), axis=-1).reshape((-1))
new_crd = np.vstack((crds, water_crd))
atom_names = np.concatenate((atom_names, water_names))
res_names = np.concatenate((res_names, water_res))
res_ids = np.concatenate((res_ids, max(res_ids) + 1 + water_resid))
new_pbc_box = final_box * self.units.convert_length_from('A')
self.init_resname = res_names
self.init_resid = res_ids
num_residue = self.num_residue + o_crd.shape[0]
residue_name = np.concatenate((self.residue_name, np.array(['WAT'] * o_crd.shape[0], np.str_)), axis=0)
residue_pointer = np.concatenate((self.residue_pointer.asnumpy(),
np.arange(o_crd.shape[0]) * 3 + self.num_atoms), axis=0)
residue_pointer = np.append(residue_pointer, len(atom_names))
if isinstance(self.template, str):
self.template = [self.template]
self.template.append(template)
_template = get_template(self.template)
self.residue = []
for i in range(num_residue):
name = residue_name[i]
atom_name = atom_names[residue_pointer[i]: residue_pointer[i + 1]][None, :]
if name in RESIDUE_NAMES:
residue = AminoAcid(name=name, template=_template, atom_name=atom_name,
length_unit=self.units.length_unit)
else:
residue = Residue(name=name, template=_template, atom_name=atom_name,
length_unit=self.units.length_unit)
self.residue.append(residue)
coordinate = new_crd * self.units.convert_length_from('A')
self.build_system()
self.build_space(coordinate, new_pbc_box)
if pdb_out is not None:
gen_pdb(new_crd[None, :], atom_names, res_names, res_ids, pdb_name=pdb_out)
print('[MindSPONGE] Adding water molecule task finished!')
return self
def construct(self) -> Tuple[Tensor, Tensor]:
r"""Get space information of system.
Returns:
coordinate (Tensor): Tensor of shape (B, A, D). Data type is float.
pbc_box (Tensor): Tensor of shape (B, D). Data type is float.
Note:
B: Batchsize, i.e. number of walkers in simulation
A: Number of atoms.
D: Spatial dimension of the simulation system. Usually is 3.
"""
coordinate = self.identity(self.coordinate)
pbc_box = None
if self.pbc_box is not None:
pbc_box = self.identity(self.pbc_box)
return coordinate, pbc_box
class MoleculeFromMol2(Molecule):
r"""
Base class for molecular system, used as the "system module" in MindSPONGE.
The `Molecule` Cell can represent a molecule or a system consisting of multiple molecules.
The major components of the `Molecule` Cell is the `Residue` Cell. A `Molecule` Cell can
contain multiple `Residue` Cells.
Args:
mol2_name(str): The string format mol2 file name.
Outputs:
- coordinate, Tensor of shape `(B, A, D)`. Data type is float.
- pbc_box, Tensor of shape `(B, D)`. Data type is float.
Supported Platforms:
``Ascend`` ``GPU``
Note:
B: Batchsize, i.e. number of walkers in simulation
A: Number of atoms.
b: Number of bonds.
D: Spatial dimension of the simulation system. Usually is 3.
"""
def __init__(self, mol2_name: str, pbc_box: Union[Tensor, ndarray, List[float]] = None, length_unit: str = None,
**kwargs):
mol2_obj = mol2parser(mol2_name)
super().__init__(atoms=mol2_obj.atom_types,
bonds=mol2_obj.bond_indexes,
atom_charge=mol2_obj.charges,
coordinate=mol2_obj.crds,
pbc_box=pbc_box,
length_unit=length_unit)
self.build_space(coordinate=mol2_obj.crds, pbc_box=pbc_box)
class _MoleculeFromPDB(Molecule):
r"""
Base class for molecular system, used as the "system module" in MindSPONGE.
The `Molecule` Cell can represent a molecule or a system consisting of multiple molecules.
The major components of the `Molecule` Cell is the `Residue` Cell. A `Molecule` Cell can
contain multiple `Residue` Cells.
Args:
pdb_name(str): The string format pdb file name.
Outputs:
- coordinate, Tensor of shape `(B, A, D)`. Data type is float.
- pbc_box, Tensor of shape `(B, D)`. Data type is float.
Supported Platforms:
``Ascend`` ``GPU``
Note:
B: Batchsize, i.e. number of walkers in simulation
A: Number of atoms.
b: Number of bonds.
D: Spatial dimension of the simulation system. Usually is 3.
"""
def __init__(self, pdb_name: str, pbc_box: Union[Tensor, ndarray, List[float]] = None, length_unit: str = None,
template: Union[dict, str, List[Union[dict, str]], Tuple[Union[dict, str]]] = None,
rebuild_hydrogen: bool = False):
pdb_obj = read_pdb(pdb_name, rebuild_hydrogen=rebuild_hydrogen)
super().__init__(atoms=pdb_obj.flatten_atoms,
coordinate=pdb_obj.flatten_crds,
pbc_box=pbc_box,
length_unit=length_unit)
residue_name = pdb_obj.res_names
residue_names = np.array(RESIDUE_NAMES, np.str_)
residue_pointer = pdb_obj.res_pointer
flatten_atoms = pdb_obj.flatten_atoms
flatten_crds = pdb_obj.flatten_crds
init_res_names = pdb_obj.init_res_names
init_res_ids = pdb_obj.init_res_ids
residue_in_amino = np.where(np.isin(residue_name, residue_names))[0]
residue_name[residue_in_amino.min()] = 'N' + residue_name[residue_in_amino.min()]
residue_name[residue_in_amino.max()] = 'C' + residue_name[residue_in_amino.max()]
self.init_resname = init_res_names
self.init_resid = init_res_ids
num_residue = len(residue_name)
residue_pointer = np.append(residue_pointer, len(flatten_atoms))
self.template = template
template = get_template(template)
self.residue = []
for i in range(num_residue):
name = residue_name[i]
atom_name = flatten_atoms[residue_pointer[i]: residue_pointer[i + 1]][None, :]
if name in RESIDUE_NAMES:
residue = AminoAcid(name=name, template=template, atom_name=atom_name,
length_unit=self.units.length_unit)
else:
residue = Residue(name=name, template=template, atom_name=atom_name,
length_unit=self.units.length_unit)
self.residue.append(residue)
coordinate = flatten_crds * self.units.convert_length_from('A')
self.build_system()
self.build_space(coordinate, pbc_box)