# # Copyright (c) 2016, Novartis Institutes for BioMedical Research Inc. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided # with the distribution. # * Neither the name of Novartis Institutes for BioMedical Research Inc. # nor the names of its contributors may be used to endorse or promote # products derived from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # # Created by Nadine Schneider, July 2016 from rdkit import Chem from rdkit.Chem import AllChem from collections import defaultdict import copy def transferAgentsToReactants(rxn): for a in range(rxn.GetNumAgentTemplates()): agent = rxn.GetAgentTemplate(a) rxn.AddReactantTemplate(agent) def removeAgentsAndTransferToReactants(rxn): tmp=[] rxn.RemoveAgentTemplates(tmp) for a in tmp: rxn.AddReactantTemplate(a) def getNumPositiveCounts(fp): count=0 for k,v in fp.GetNonzeroElements().items(): if v > 0: count+=v return count def getNumNegativeCounts(fp): count=0 for k,v in fp.GetNonzeroElements().items(): if v < 0: count+=abs(v) return count def getNumPositiveBitCountsOfRadius0(fp,bitinfo): count=0 bitsUnmappedAtoms=[] for k in bitinfo: if bitinfo[k][0][1] == 0: v = fp[k] if v>0: count += 1 bitsUnmappedAtoms.append((k,v)) return count,bitsUnmappedAtoms def getSumFps(fps): summedFP = copy.deepcopy(fps[0]) for fp in fps[1:]: summedFP += fp return summedFP def uniqueMolecules(mols): smiles = [Chem.MolToSmiles(mol) for mol in mols] uniqueMolecules=defaultdict(int) for n,smi in enumerate(smiles): uniqueMolecules[n]=smiles.index(smi) return uniqueMolecules,smiles