Python AllChem.MolToSmiles方法代碼示例

# 需要導入模塊: from rdkit.Chem import AllChem [as 別名]
# 或者: from rdkit.Chem.AllChem import MolToSmiles [as 別名]
def make_iso_smiles(mol):
    '''enumerate chiral centers and return list of smiles'''
    #for some reason rdkit can't detect chiral centers without a structure
    Chem.EmbedMultipleConfs(mol)
    Chem.rdmolops.AssignAtomChiralTagsFromStructure(mol)
    chirals = [] # chiral atoms
    Chem.rdmolops.AssignStereochemistry(mol) #make sure this is done
    for a in mol.GetAtoms():
        if a.GetChiralTag() == Chem.rdchem.CHI_TETRAHEDRAL_CCW or a.GetChiralTag() == Chem.rdchem.CHI_TETRAHEDRAL_CW:
            chirals.append(a)
    cmask = itertools.product(*[[0,1]]*len(chirals))
    if len(chirals) == 0:
        return [Chem.MolToSmiles(mol)]
    else:
        ret = []
        for m in cmask:
            for i in xrange(len(chirals)):
                if m[i]:
                    chirals[i].SetChiralTag(Chem.rdchem.CHI_TETRAHEDRAL_CCW)
                else:
                    chirals[i].SetChiralTag(Chem.rdchem.CHI_TETRAHEDRAL_CW)
            ret.append(Chem.MolToSmiles(mol,True))
        return ret 

# 需要導入模塊: from rdkit.Chem import AllChem [as 別名]
# 或者: from rdkit.Chem.AllChem import MolToSmiles [as 別名]
def calcfingerprint(mol, args):
    '''Return a list of the bits/cnts of the fingerprint of mol.
    Uses fingerprint settings from args which should have been the result
    of a parse of addfpargs'''
    if args.fp == 'rdkit':
        fp = Chem.RDKFingerprint(mol,fpSize=args.fpbits)
        return [int(x) for x in fp.ToBitString()]
    elif args.fp.startswith('ecfp'):
        diameter = int(args.fp.replace('ecfp',''))
        r = diameter/2
        fp = Chem.GetMorganFingerprintAsBitVect(mol,r,nBits=args.fpbits)
        return [int(x) for x in fp.ToBitString()]
    elif args.fp == 'maccs':
        fp = MACCSkeys.GenMACCSKeys(mol)
        return [int(x) for x in fp.ToBitString()]
    elif args.fp == 'smarts':
        if args.smartsfile:
            smarts = args.smartsfile
            ret = [0]*len(smarts)
            for (i,smart) in enumerate(smarts):
                if mol.HasSubstructMatch(smart):
                    ret[i] = 1
            return ret
        else:
            sys.stderr.write("ERROR: Must provide SMARTS file with --smarts\n")
            sys.exit(-1)
    elif args.fp == 'fp2':
        smi = Chem.MolToSmiles(mol) 
        obmol = pybel.readstring('smi',smi)
        fp = obmol.calcfp(fptype='FP2')
        ret = [0]*1021 #FP2 are mod 1021
        for setbit in fp.bits:
            #but pybel makes the bits start at 1 for some reason
            assert(setbit>0)
            ret[setbit-1] = 1
            
        return ret
        
    else:
        return [] 

# 需要導入模塊: from rdkit.Chem import AllChem [as 別名]
# 或者: from rdkit.Chem.AllChem import MolToSmiles [as 別名]
def get_molecule_smi(mol_obj):
    return Chem.MolToSmiles(mol_obj) 

# 需要導入模塊: from rdkit.Chem import AllChem [as 別名]
# 或者: from rdkit.Chem.AllChem import MolToSmiles [as 別名]
def canon_smiles(smi):
    return Chem.MolToSmiles(Chem.MolFromSmiles(smi), isomericSmiles=True, canonical=True) 

# 需要導入模塊: from rdkit.Chem import AllChem [as 別名]
# 或者: from rdkit.Chem.AllChem import MolToSmiles [as 別名]
def mol_to_dic(node, withAmounts = False):
	'''Converts a node containing molecule information into a
	dictionary'''
	dic = {}
	# Get name
	dic['name'] = str(node.getElementsByTagName('name')[0].firstChild.nodeValue)
	# If exact entity match, more data is available
	#print(node.toprettyxml())
	#entityType = node.getElementsByTagName('dl:entityType')[0].firstChild.nodeValue
	#if entityType == 'exact' or entityType == 'definiteReference':
	identifiers = {
		child.attributes.getNamedItem('dictRef').value : \
		child.attributes.getNamedItem('value').value \
		for child in node.getElementsByTagName('identifier')
	}
	if 'cml:inchi' in identifiers.keys():
		mol = AllChem.MolFromInchi(str(identifiers['cml:inchi']))
	elif 'cml:smiles' in identifiers.keys():
		mol = AllChem.MolFromSmiles(str(identifiers['cml:smiles']))
	else:
		print('identifiers: {}'.format(identifiers.keys()))
		raise ValueError('No molecular identifier for {}'.format(dic['name']))
	if not mol: raise ValueError('Couldnt parse molecule: {}'.format(identifiers))

	Chem.SanitizeMol(mol)
	dic['smiles'] = AllChem.MolToSmiles(mol, isomericSmiles=True)
	dic['inchi'] = AllChem.MolToInchi(mol)
	# elif entityType == 'chemicalClass':
	# 	pass # name is all we get
	# else:
	# 	raise ValueError('Unknown entityType for molecule: {}'.format(entityType))
	# Quantity?
	if withAmounts:
		amounts = {
			child.attributes.getNamedItem('units').value : \
			child.firstChild.nodeValue \
			for child in node.getElementsByTagName('amount')
		}
		if 'unit:percentYield' in amounts.keys():
			dic['yield'] = float(amounts['unit:percentYield'])
		if 'unit:g' in amounts.keys():
			dic['amount(g)'] = float(amounts['unit:g'])
	return dic 

# 需要導入模塊: from rdkit.Chem import AllChem [as 別名]
# 或者: from rdkit.Chem.AllChem import MolToSmiles [as 別名]
def shingling_from_mol(in_mol, radius=3, rings=True, kekulize=True, min_radius=1):
        """Creates a molecular shingling from a RDKit molecule (rdkit.Chem.rdchem.Mol).
    
    Arguments:
      in_mol {rdkit.Chem.rdchem.Mol} -- A RDKit molecule instance
      radius {int} -- The MHFP radius (a radius of 3 corresponds to MHFP6)  (default: {3})
      rings {boolean} -- Whether or not to include rings in the shingling (default: {True})
      kekulize {boolean} -- Whether or not to kekulize the the extracted SMILES (default: {True})
      min_radius {int} -- The minimum radius that is used to extract n-grams (default: {1})
    
    Returns:
      list -- The molecular shingling.
    """

        shingling = []

        if rings:
            for ring in AllChem.GetSymmSSSR(in_mol):
                bonds = set()
                ring = list(ring)
                for i in ring:
                    for j in ring:
                        if i != j:
                            bond = in_mol.GetBondBetweenAtoms(i, j)
                            if bond != None:
                                bonds.add(bond.GetIdx())
                shingling.append(
                    AllChem.MolToSmiles(
                        AllChem.PathToSubmol(in_mol, list(bonds)), canonical=True
                    ).encode("utf-8")
                )

        if min_radius == 0:
            for i, atom in enumerate(in_mol.GetAtoms()):
                shingling.append(atom.GetSmarts().encode("utf-8"))

        for index, _ in enumerate(in_mol.GetAtoms()):
            for i in range(1, radius + 1):
                p = AllChem.FindAtomEnvironmentOfRadiusN(in_mol, i, index)
                amap = {}
                submol = AllChem.PathToSubmol(in_mol, p, atomMap=amap)

                if index not in amap:
                    continue

                smiles = AllChem.MolToSmiles(
                    submol, rootedAtAtom=amap[index], canonical=True
                )

                if smiles is not "":
                    shingling.append(smiles.encode("utf-8"))

        # Set ensures that the same shingle is not hashed multiple times
        # (which would not change the hash, since there would be no new minima)
        return list(set(shingling))