Python Topology.add_residue方法代碼示例

# 需要導入模塊: from mdtraj.core.topology import Topology [as 別名]
# 或者: from mdtraj.core.topology.Topology import add_residue [as 別名]
def create_water_topology_on_disc(n):
    topfile = tempfile.mktemp('.pdb')
    top = Topology()
    chain = top.add_chain()

    for i in xrange(n):
        res = top.add_residue('r%i' % i, chain)
        h1 = top.add_atom('H', hydrogen, res)
        o = top.add_atom('O', oxygen, res)
        h2 = top.add_atom('H', hydrogen, res)
        top.add_bond(h1, o)
        top.add_bond(h2, o)

    xyz = np.zeros((n * 3, 3))
    Trajectory(xyz, top).save_pdb(topfile)
    return topfile

# 需要導入模塊: from mdtraj.core.topology import Topology [as 別名]
# 或者: from mdtraj.core.topology.Topology import add_residue [as 別名]
    def topology(self):
        """Get the topology out from the file

        Returns
        -------
        topology : mdtraj.Topology
            A topology object
        """
        try:
            raw = self._get_node('/', name='topology')[0]
            if not isinstance(raw, string_types):
                raw = raw.decode()
            topology_dict = json.loads(raw)
        except self.tables.NoSuchNodeError:
            return None

        topology = Topology()

        for chain_dict in sorted(topology_dict['chains'], key=operator.itemgetter('index')):
            chain = topology.add_chain()
            for residue_dict in sorted(chain_dict['residues'], key=operator.itemgetter('index')):
                try:
                    resSeq = residue_dict["resSeq"]
                except KeyError:
                    resSeq = None
                    warnings.warn('No resSeq information found in HDF file, defaulting to zero-based indices')
                try:
                    segment_id = residue_dict["segmentID"]
                except KeyError:
                    segment_id = ""
                residue = topology.add_residue(residue_dict['name'], chain, resSeq=resSeq, segment_id=segment_id)
                for atom_dict in sorted(residue_dict['atoms'], key=operator.itemgetter('index')):
                    try:
                        element = elem.get_by_symbol(atom_dict['element'])
                    except KeyError:
                        element = elem.virtual
                    topology.add_atom(atom_dict['name'], element, residue)

        atoms = list(topology.atoms)
        for index1, index2 in topology_dict['bonds']:
            topology.add_bond(atoms[index1], atoms[index2])

        return topology

# 需要導入模塊: from mdtraj.core.topology import Topology [as 別名]
# 或者: from mdtraj.core.topology.Topology import add_residue [as 別名]
    def topology(self):
        """Get the topology out from the file

        Returns
        -------
        topology : mdtraj.Topology
            A topology object
        """
        try:
            raw = self._get_node("/", name="topology")[0]
            if not isinstance(raw, string_types):
                raw = raw.decode()
            topology_dict = json.loads(raw)
        except self.tables.NoSuchNodeError:
            return None

        topology = Topology()

        for chain_dict in sorted(topology_dict["chains"], key=operator.itemgetter("index")):
            chain = topology.add_chain()
            for residue_dict in sorted(chain_dict["residues"], key=operator.itemgetter("index")):
                try:
                    resSeq = residue_dict["resSeq"]
                except KeyError:
                    resSeq = None
                    warnings.warn("No resSeq information found in HDF file, defaulting to zero-based indices")
                residue = topology.add_residue(residue_dict["name"], chain, resSeq=resSeq)
                for atom_dict in sorted(residue_dict["atoms"], key=operator.itemgetter("index")):
                    try:
                        element = elem.get_by_symbol(atom_dict["element"])
                    except KeyError:
                        element = None
                    topology.add_atom(atom_dict["name"], element, residue)

        atoms = list(topology.atoms)
        for index1, index2 in topology_dict["bonds"]:
            topology.add_bond(atoms[index1], atoms[index2])

        return topology

# 需要導入模塊: from mdtraj.core.topology import Topology [as 別名]
# 或者: from mdtraj.core.topology.Topology import add_residue [as 別名]
    def mutate(self, mut_res_idx, mut_new_resname):
        """Mutate residue

        Parameters 
        ----------
        mut_res_idx : int
            Index of residue to mutate.
        mut_new_resname : str
            Three-letter code of residue to mutate to.
        """

        assert (self.topology.residue(mut_res_idx).name != mut_new_resname), "mutating the residue to itself!"

        # Build new topology
        newTopology = Topology()
        for chain in self.topology.chains:
            newChain = newTopology.add_chain()
            for residue in chain._residues:
                res_idx = residue.index
                if res_idx == mut_res_idx:
                    # create mutated residue
                    self._add_mutated_residue(mut_new_resname, newTopology, newChain, res_idx, residue)
                else:
                    # copy old residue atoms directly
                    newResidue = newTopology.add_residue(residue.name, newChain, res_idx)
                    for atom in residue.atoms:
                        newTopology.add_atom(atom.name, 
                                    md.core.element.get_by_symbol(atom.element.symbol), 
                                    newResidue, serial=atom.index)

        # The bond connectivity should stay identical
        for atm1, atm2 in self.topology._bonds:
            new_atm1 = newTopology.atom(atm1.index)
            new_atm2 = newTopology.atom(atm2.index)
            newTopology.add_bond(new_atm1, new_atm2)

        self._prev_topology = self.topology.copy()
        self.topology = newTopology

# 需要導入模塊: from mdtraj.core.topology import Topology [as 別名]
# 或者: from mdtraj.core.topology.Topology import add_residue [as 別名]

#.........這裏部分代碼省略.........
    @property
    def unitcell_angles(self):
        "The unitcell angles (3-tuple) in this PDB file. May be None"
        return self._unitcell_angles

    @property
    def closed(self):
        "Whether the file is closed"
        return not self._open

    def close(self):
        "Close the PDB file"
        if self._mode == 'w' and not self._footer_written:
            self._write_footer()
        if self._open:
            self._file.close()
        self._open = False

    def _read_models(self):
        if not self._mode == 'r':
            raise ValueError('file not opened for reading')

        self._topology = Topology()

        pdb = PdbStructure(self._file, load_all_models=True)

        atomByNumber = {}
        for chain in pdb.iter_chains():
            c = self._topology.add_chain()
            for residue in chain.iter_residues():
                resName = residue.get_name()
                if resName in PDBTrajectoryFile._residueNameReplacements:
                    resName = PDBTrajectoryFile._residueNameReplacements[resName]
                r = self._topology.add_residue(resName, c, residue.number)
                if resName in PDBTrajectoryFile._atomNameReplacements:
                    atomReplacements = PDBTrajectoryFile._atomNameReplacements[resName]
                else:
                    atomReplacements = {}
                for atom in residue.atoms:
                    atomName = atom.get_name()
                    if atomName in atomReplacements:
                        atomName = atomReplacements[atomName]
                    atomName = atomName.strip()
                    element = atom.element
                    if element is None:
                        element = self._guess_element(atomName, residue)

                    newAtom = self._topology.add_atom(atomName, element, r, serial=atom.serial_number)
                    atomByNumber[atom.serial_number] = newAtom

        # load all of the positions (from every model)
        _positions = []
        for model in pdb.iter_models(use_all_models=True):
            coords = []
            for chain in model.iter_chains():
                for residue in chain.iter_residues():
                    for atom in residue.atoms:
                        coords.append(atom.get_position())
            _positions.append(coords)

        if not all(len(f) == len(_positions[0]) for f in _positions):
            raise ValueError('PDB Error: All MODELs must contain the same number of ATOMs')

        self._positions = np.array(_positions)

        ## The atom positions read from the PDB file

# 需要導入模塊: from mdtraj.core.topology import Topology [as 別名]
# 或者: from mdtraj.core.topology.Topology import add_residue [as 別名]
    def _to_topology(self, atom_list, chain_types=None, residue_types=None):
        """Create a mdtraj.Topology from a Compound.

        Parameters
        ----------
        atom_list :
        chain_types :
        residue_types :

        Returns
        -------
        top : mtraj.Topology

        """

        if isinstance(chain_types, Compound):
            chain_types = [Compound]
        if isinstance(chain_types, (list, set)):
            chain_types = tuple(chain_types)

        if isinstance(residue_types, Compound):
            residue_types = [Compound]
        if isinstance(residue_types, (list, set)):
            residue_types = tuple(residue_types)
        top = Topology()
        atom_mapping = {}

        default_chain = top.add_chain()
        default_residue = top.add_residue('RES', default_chain)

        last_residue_compound = None
        last_chain_compound = None
        last_residue = None
        last_chain = None

        for atom in atom_list:
            # Chains
            for parent in atom.ancestors():
                if chain_types and isinstance(parent, chain_types):
                    if parent != last_chain_compound:
                        last_chain_compound = parent
                        last_chain = top.add_chain()
                        last_chain_default_residue = top.add_residue('RES', last_chain)
                        last_chain.compound = last_chain_compound
                    break
            else:
                last_chain = default_chain
                last_chain.compound = last_chain_compound

            # Residues
            for parent in atom.ancestors():
                if residue_types and isinstance(parent, residue_types):
                    if parent != last_residue_compound:
                        last_residue_compound = parent
                        last_residue = top.add_residue(parent.__class__.__name__, last_chain)
                        last_residue.compound = last_residue_compound
                    break
            else:
                if last_chain != default_chain:
                    last_residue = last_chain_default_residue
                else:
                    last_residue = default_residue
                last_residue.compound = last_residue_compound

            # Add the actual atoms
            try:
                elem = get_by_symbol(atom.name)
            except KeyError:
                elem = get_by_symbol("VS")
            at = top.add_atom(atom.name, elem, last_residue)
            at.charge = atom.charge
            atom_mapping[atom] = at

        # Remove empty default residues.
        chains_to_remove = [chain for chain in top.chains if chain.n_atoms == 0]
        residues_to_remove = [res for res in top.residues if res.n_atoms == 0]
        for chain in chains_to_remove:
            top._chains.remove(chain)
        for res in residues_to_remove:
            for chain in top.chains:
                try:
                    chain._residues.remove(res)
                except ValueError:  # Already gone.
                    pass

        for atom1, atom2 in self.bonds():
            # Ensure that both atoms are part of the compound. This becomes an
            # issue if you try to convert a sub-compound to a topology which is
            # bonded to a different subcompound.
            if all(a in atom_mapping.keys() for a in [atom1, atom2]):
                top.add_bond(atom_mapping[atom1], atom_mapping[atom2])
        return top

# 需要導入模塊: from mdtraj.core.topology import Topology [as 別名]
# 或者: from mdtraj.core.topology.Topology import add_residue [as 別名]
def load_hoomdxml(filename, top=None):
    """Load a single conformation from an HOOMD-Blue XML file.

    For more information on this file format, see:
    http://codeblue.umich.edu/hoomd-blue/doc/page_xml_file_format.html
    Notably, all node names and attributes are in all lower case.
    HOOMD-Blue does not contain residue and chain information explicitly. 
    For this reason, chains will be found by looping over all the bonds and 
    finding what is bonded to what. 
    Each chain consisists of exactly one residue. 

    Parameters
    ----------
    filename : string
        The path on disk to the XML file

    Returns
    -------
    trajectory : md.Trajectory
        The resulting trajectory, as an md.Trajectory object, with corresponding 
        Topology.

    Notes
    -----
    This function requires the NetworkX python package.
    """
    from mdtraj.core.trajectory import Trajectory
    from mdtraj.core.topology import Topology
    topology = Topology()
    tree = cElementTree.parse(filename)
    config = tree.getroot().find('configuration')
    position = config.find('position')
    bond = config.find('bond')
    atom_type = config.find('type')  # MDTraj calls this "name"

    box = config.find('box')
    box.attrib = dict((key.lower(), val) for key, val in box.attrib.items())
    # be generous for case of box attributes
    lx = float(box.attrib['lx'])
    ly = float(box.attrib['ly'])
    lz = float(box.attrib['lz'])
    try:
        xy = float(box.attrib['xy'])
        xz = float(box.attrib['xz'])
        yz = float(box.attrib['yz'])
    except:
        xy = 0.0
        xz = 0.0
        yz = 0.0
    unitcell_vectors = np.array([[[lx,  xy*ly, xz*lz],
                                  [0.0, ly,    yz*lz],
                                  [0.0, 0.0,   lz   ]]])

    positions, types = [], {}
    for pos in position.text.splitlines()[1:]:
        positions.append((float(pos.split()[0]),
                          float(pos.split()[1]),
                          float(pos.split()[2])))

    for idx, atom_name in enumerate(atom_type.text.splitlines()[1:]):
        types[idx] = str(atom_name.split()[0])
    if len(types) != len(positions):
        raise ValueError('Different number of types and positions in xml file')

    # ignore the bond type
    bonds = [(int(b.split()[1]), int(b.split()[2])) for b in bond.text.splitlines()[1:]]
    chains = _find_chains(bonds)
    ions = [i for i in range(len(types)) if not _in_chain(chains, i)]

    # add chains, bonds and ions (each chain = 1 residue)
    for chain in chains:
        t_chain = topology.add_chain()
        t_residue = topology.add_residue('A', t_chain)
        for atom in chain:
            topology.add_atom(types[atom], 'U', t_residue)
    for ion in ions:
        t_chain = topology.add_chain()
        t_residue = topology.add_residue('A', t_chain)
        topology.add_atom(types[atom], 'U', t_residue)
    for bond in bonds:
        atom1, atom2 = bond[0], bond[1]
        topology.add_bond(topology.atom(atom1), topology.atom(atom2))

    traj = Trajectory(xyz=np.array(positions), topology=topology)
    traj.unitcell_vectors = unitcell_vectors

    return traj

# 需要導入模塊: from mdtraj.core.topology import Topology [as 別名]
# 或者: from mdtraj.core.topology.Topology import add_residue [as 別名]
    def __init__(self, topology, use_chains=None):
        if use_chains is None:
            use_chains = range(len(topology._chains))

        self._ref_topology = topology.copy()

        # Build new topology
        newTopology = Topology()
        new_atm_idx = 0
        res_idx = 1
        prev_ca = None
        ca_idxs = []
        self._sidechain_idxs = []
        self._sidechain_mass = []
        self._chain_indices = []
        for chain_count, chain in enumerate(topology._chains):
            if chain_count in use_chains:
                newChain = newTopology.add_chain()
                for residue in chain._residues:
                    #resSeq = getattr(residue, 'resSeq', None) or residue.index
                    newResidue = newTopology.add_residue(residue.name, newChain, res_idx)
                    # map CA
                    new_ca = newTopology.add_atom('CA', md.core.element.get_by_symbol('C'),
                                        newResidue, serial=new_atm_idx)
                    self._chain_indices.append(chain_count)
                    if prev_ca is None:
                        prev_ca = new_ca
                    else:
                        # only bond atoms in the same chain.
                        if new_ca.residue.chain.index == prev_ca.residue.chain.index:
                            newTopology.add_bond(prev_ca, new_ca)
                        prev_ca = new_ca
                    try:
                        ca_idxs.append([[ atm.index for atm in residue.atoms if \
                                (atm.name == "CA") ][0], new_atm_idx ])
                    except:
                        print(residue)
                        print(chain)
                        for atm in residue.atoms:
                            atm.name
                        raise
                    new_atm_idx += 1

                    if residue.name == 'GLY':
                        self._sidechain_idxs.append([])
                        self._sidechain_mass.append([])
                    else:
                        # map CB
                        cb_name = "CB%s" % atom_types.residue_code[residue.name]
                        new_cb = newTopology.add_atom(cb_name, md.core.element.get_by_symbol('C'),
                                            newResidue, serial=new_atm_idx)
                        self._chain_indices.append(chain_count)

                        newTopology.add_bond(new_cb, new_ca)

                        self._sidechain_idxs.append([[ atm.index for atm in residue.atoms if \
                                    (atm.is_sidechain) and (atm.element.symbol != "H") ], new_atm_idx ])
                        self._sidechain_mass.append(np.array([ atm.element.mass for atm in residue.atoms if \
                                    (atm.is_sidechain) and (atm.element.symbol != "H") ]))
                        new_atm_idx += 1
                    res_idx += 1

        self._ca_idxs = np.array(ca_idxs)
        self.topology = newTopology
        assert self.topology.n_atoms == len(self._chain_indices)