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* Add return codes and make RGroupDecomp less verbose * Changes in response to review Co-authored-by: Greg Landrum <greg.landrum@gmail.com>
563 lines
20 KiB
C++
563 lines
20 KiB
C++
// Copyright (c) 2017, Novartis Institutes for BioMedical Research Inc.
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// All rights reserved.
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are
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// met:
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//
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// * Redistributions of source code must retain the above copyright
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// notice, this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above
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// copyright notice, this list of conditions and the following
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// disclaimer in the documentation and/or other materials provided
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// with the distribution.
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// * Neither the name of Novartis Institutes for BioMedical Research Inc.
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// nor the names of its contributors may be used to endorse or promote
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// products derived from this software without specific prior written
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// permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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//
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#include "RGroupDecomp.h"
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#include "RGroupDecompData.h"
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#include <GraphMol/RDKitBase.h>
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#include <GraphMol/Substruct/SubstructMatch.h>
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#include <GraphMol/SmilesParse/SmilesWrite.h>
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#include <GraphMol/SmilesParse/SmartsWrite.h>
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#include <GraphMol/SmilesParse/SmilesParse.h>
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#include <GraphMol/ChemTransforms/ChemTransforms.h>
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#include <GraphMol/FMCS/FMCS.h>
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#include <boost/scoped_ptr.hpp>
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#include <boost/dynamic_bitset.hpp>
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#include <set>
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#include <utility>
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#include <vector>
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// #define VERBOSE 1
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namespace RDKit {
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// Attachment Points
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// labeled cores => isotopes
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// atom mappings
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// atom indices => use -1 - atom index, range is [-1, ...., -num_atoms]
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const std::string RLABEL = "tempRlabel";
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const std::string RLABEL_TYPE = "tempRlabelType";
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const std::string RLABEL_CORE_INDEX = "rLabelCoreIndex";
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const std::string SIDECHAIN_RLABELS = "sideChainRlabels";
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const std::string done = "RLABEL_PROCESSED";
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const std::string CORE = "Core";
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const std::string RPREFIX = "R";
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namespace {
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void ADD_MATCH(R_DECOMP &match, int rlabel) {
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if (match.find(rlabel) == match.end()) {
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match[rlabel] = boost::make_shared<RGroupData>();
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}
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}
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} // namespace
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RGroupDecomposition::RGroupDecomposition(
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const ROMol &inputCore, const RGroupDecompositionParameters ¶ms)
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: data(new RGroupDecompData(inputCore, params)) {}
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RGroupDecomposition::RGroupDecomposition(
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const std::vector<ROMOL_SPTR> &cores,
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const RGroupDecompositionParameters ¶ms)
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: data(new RGroupDecompData(cores, params)) {}
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RGroupDecomposition::~RGroupDecomposition() { delete data; }
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int RGroupDecomposition::add(const ROMol &inmol) {
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// get the sidechains if possible
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// Add hs for better symmetrization
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RWMol mol(inmol);
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bool explicitOnly = false;
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bool addCoords = true;
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MolOps::addHs(mol, explicitOnly, addCoords);
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int core_idx = 0;
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const RCore *rcore = nullptr;
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std::vector<MatchVectType> tmatches;
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std::vector<MatchVectType> tmatches_filtered;
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// Find the first matching core (onlyMatchAtRGroups)
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// or the first core that requires the smallest number
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// of newly added labels
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int global_min_heavy_nbrs = -1;
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for (const auto &core : data->cores) {
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{
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const bool uniquify = false;
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const bool recursionPossible = true;
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const bool useChirality = true;
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SubstructMatch(mol, *core.second.core, tmatches, uniquify,
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recursionPossible, useChirality);
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}
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if (tmatches.empty()) {
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continue;
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}
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std::vector<int> tmatches_heavy_nbrs(tmatches.size(), 0);
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size_t i = 0;
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for (const auto &mv : tmatches) {
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bool passes_filter = data->params.onlyMatchAtRGroups;
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boost::dynamic_bitset<> target_match_indices(mol.getNumAtoms());
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for (const auto &match : mv) {
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target_match_indices[match.second] = 1;
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}
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for (const auto &match : mv) {
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const Atom *atm = mol.getAtomWithIdx(match.second);
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// is this a labelled rgroup or not?
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if (!core.second.isCoreAtomUserLabelled(match.first)) {
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// nope... if any neighbor is not part of the substructure
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// make sure we are a hydrogen, otherwise, skip the match
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for (const auto &nbri :
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boost::make_iterator_range(mol.getAtomNeighbors(atm))) {
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const auto &nbr = mol[nbri];
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if (nbr->getAtomicNum() != 1 &&
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!target_match_indices[nbr->getIdx()]) {
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if (data->params.onlyMatchAtRGroups) {
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passes_filter = false;
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break;
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} else {
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++tmatches_heavy_nbrs[i];
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}
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}
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}
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}
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if (!passes_filter && data->params.onlyMatchAtRGroups) {
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break;
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}
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}
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if (passes_filter) {
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tmatches_filtered.push_back(mv);
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}
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++i;
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}
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if (!data->params.onlyMatchAtRGroups) {
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int min_heavy_nbrs = *std::min_element(tmatches_heavy_nbrs.begin(),
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tmatches_heavy_nbrs.end());
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if (global_min_heavy_nbrs == -1 ||
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min_heavy_nbrs < global_min_heavy_nbrs) {
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i = 0;
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tmatches_filtered.clear();
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for (const auto heavy_nbrs : tmatches_heavy_nbrs) {
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if (heavy_nbrs <= min_heavy_nbrs) {
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tmatches_filtered.push_back(std::move(tmatches[i]));
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}
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++i;
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}
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global_min_heavy_nbrs = min_heavy_nbrs;
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rcore = &core.second;
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core_idx = core.first;
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if (global_min_heavy_nbrs == 0) {
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break;
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}
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}
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} else if (!tmatches_filtered.empty()) {
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rcore = &core.second;
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core_idx = core.first;
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break;
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}
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}
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tmatches = std::move(tmatches_filtered);
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if (tmatches.size() > 1) {
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if (data->params.matchingStrategy == NoSymmetrization) {
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tmatches.resize(1);
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} else if (data->matches.size() == 0) {
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// Greedy strategy just grabs the first match and
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// takes the best matches from the rest
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if (data->params.matchingStrategy == Greedy) {
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tmatches.resize(1);
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}
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}
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}
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if (rcore == nullptr) {
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BOOST_LOG(rdDebugLog) << "No core matches" << std::endl;
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return -1;
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}
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// strategies
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// ==========
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// Exhaustive - saves all matches and optimizes later exhaustive
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// May never finish due to combinatorial complexity
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// Greedy - matches to *FIRST* available match
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// GreedyChunks - default - process every N chunks
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// Should probably scan all mols first to find match with
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// smallest number of matches...
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std::vector<RGroupMatch> potentialMatches;
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std::unique_ptr<ROMol> tMol;
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for (const auto &tmatche : tmatches) {
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const bool replaceDummies = false;
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const bool labelByIndex = true;
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const bool requireDummyMatch = false;
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bool hasCoreDummies = false;
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auto coreCopy =
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rcore->replaceCoreAtomsWithMolMatches(hasCoreDummies, mol, tmatche);
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tMol.reset(replaceCore(mol, *coreCopy, tmatche, replaceDummies,
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labelByIndex, requireDummyMatch));
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#ifdef VERBOSE
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std::cerr << "Core Match core_idx " << core_idx << " idx "
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<< data->matches.size() << ": " << MolToSmarts(*coreCopy)
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<< std::endl;
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#endif
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if (tMol) {
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#ifdef VERBOSE
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std::cerr << "All Fragments " << MolToSmiles(*tMol) << std::endl;
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#endif
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R_DECOMP match;
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// rlabel rgroups
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MOL_SPTR_VECT fragments = MolOps::getMolFrags(*tMol, false);
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std::set<int> coreAtomAnyMatched;
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for (size_t i = 0; i < fragments.size(); ++i) {
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std::vector<int> attachments;
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boost::shared_ptr<ROMol> &newMol = fragments[i];
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newMol->setProp<int>("core", core_idx);
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newMol->setProp<int>("idx", data->matches.size());
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newMol->setProp<int>("frag_idx", i);
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for (auto at : newMol->atoms()) {
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unsigned int elno = at->getAtomicNum();
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if (elno == 0) {
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unsigned int index =
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at->getIsotope(); // this is the index into the core
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// it messes up when there are multiple ?
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int rlabel;
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auto coreAtom = rcore->core->getAtomWithIdx(index);
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coreAtomAnyMatched.insert(index);
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if (coreAtom->getPropIfPresent(RLABEL, rlabel)) {
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std::vector<int> rlabelsOnSideChain;
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at->getPropIfPresent(SIDECHAIN_RLABELS, rlabelsOnSideChain);
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rlabelsOnSideChain.push_back(rlabel);
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at->setProp(SIDECHAIN_RLABELS, rlabelsOnSideChain);
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data->labels.insert(rlabel); // keep track of all labels used
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attachments.push_back(rlabel);
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}
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}
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}
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if (attachments.size() > 0) {
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// reject multiple attachments?
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// what to do with labelled cores ?
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std::string newCoreSmi = MolToSmiles(*newMol, true);
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for (size_t attach_idx = 0; attach_idx < attachments.size();
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++attach_idx) {
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int rlabel = attachments[attach_idx];
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ADD_MATCH(match, rlabel);
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match[rlabel]->add(newMol, attachments);
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#ifdef VERBOSE
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std::cerr << "Fragment " << i << " R" << rlabel << " "
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<< MolToSmiles(*newMol) << std::endl;
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#endif
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}
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} else {
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// special case, only one fragment
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if (fragments.size() == 1) { // need to make a new core
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// remove the sidechains
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// GJ I think if we ever get here that it's really an error and I
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// believe that I've fixed the case where this code was called.
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// Still, I'm too scared to delete the block.
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RWMol newCore(mol);
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for (const auto &mvpair : tmatche) {
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const Atom *coreAtm = rcore->core->getAtomWithIdx(mvpair.first);
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Atom *newCoreAtm = newCore.getAtomWithIdx(mvpair.second);
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int rlabel;
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if (coreAtm->getPropIfPresent(RLABEL, rlabel)) {
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newCoreAtm->setProp<int>(RLABEL, rlabel);
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}
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newCoreAtm->setProp<bool>("keep", true);
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}
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newCore.beginBatchEdit();
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for (const auto atom : newCore.atoms()) {
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if (!atom->hasProp("keep")) {
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newCore.removeAtom(atom);
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}
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}
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newCore.commitBatchEdit();
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if (newCore.getNumAtoms()) {
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std::string newCoreSmi = MolToSmiles(newCore, true);
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// add a new core if possible
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auto newcore = data->newCores.find(newCoreSmi);
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int core_idx = 0;
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if (newcore == data->newCores.end()) {
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core_idx = data->newCores[newCoreSmi] = data->newCoreLabel--;
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data->cores[core_idx] = RCore(newCore);
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return add(inmol);
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}
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}
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}
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}
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}
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if (match.size()) {
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auto numberUserGroupsInMatch = std::accumulate(
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match.begin(), match.end(), 0,
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[](int sum, std::pair<int, boost::shared_ptr<RGroupData>> p) {
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return p.first > 0 && !p.second->is_hydrogen ? ++sum : sum;
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});
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int numberMissingUserGroups =
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rcore->numberUserRGroups - numberUserGroupsInMatch;
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CHECK_INVARIANT(numberMissingUserGroups >= 0,
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"Data error in missing user rgroup count");
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potentialMatches.emplace_back(
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core_idx, numberMissingUserGroups, match,
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hasCoreDummies || !data->params.onlyMatchAtRGroups ? coreCopy
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: nullptr);
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}
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}
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}
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if (potentialMatches.size() == 0) {
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BOOST_LOG(rdDebugLog)
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<< "No attachment points in side chains" << std::endl;
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return -2;
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}
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if (data->params.matchingStrategy != GA) {
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size_t N = 1;
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for (auto &matche : data->matches) {
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size_t sz = matche.size();
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N *= sz;
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}
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// oops, exponential is a pain
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if (N * potentialMatches.size() > 100000) {
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data->permutation = std::vector<size_t>(data->matches.size(), 0);
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data->process(true);
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}
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}
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data->matches.push_back(potentialMatches);
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data->permutation = std::vector<size_t>(data->matches.size(), 0);
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if (data->matches.size()) {
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if (data->params.matchingStrategy & Greedy ||
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(data->params.matchingStrategy & GreedyChunks &&
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data->matches.size() > 1 &&
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data->matches.size() % data->params.chunkSize == 0)) {
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data->process(true);
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}
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}
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return data->matches.size() - 1;
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}
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bool RGroupDecomposition::process() { return processAndScore().success; }
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RGroupDecompositionProcessResult RGroupDecomposition::processAndScore() {
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try {
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const bool prune = true;
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const bool finalize = true;
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return data->process(prune, finalize);
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} catch (...) {
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return RGroupDecompositionProcessResult(false, -1);
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}
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}
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std::vector<std::string> RGroupDecomposition::getRGroupLabels() const {
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// this is a bit of a cheat
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RGroupColumns cols = getRGroupsAsColumns();
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std::vector<std::string> labels;
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for (auto it : cols) {
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labels.push_back(it.first);
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}
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std::sort(labels.begin(), labels.end());
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return labels;
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}
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RWMOL_SPTR RGroupDecomposition::outputCoreMolecule(
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const RGroupMatch &match, const UsedLabelMap &usedLabelMap) const {
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const auto &core = data->cores[match.core_idx];
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if (!match.matchedCore) {
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return core.labelledCore;
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}
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auto coreWithMatches = core.coreWithMatches(*match.matchedCore);
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for (auto atomIdx = coreWithMatches->getNumAtoms(); atomIdx--;) {
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auto atom = coreWithMatches->getAtomWithIdx(atomIdx);
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if (atom->getAtomicNum()) {
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continue;
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}
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auto label = atom->getAtomMapNum();
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Atom *nbrAtom = nullptr;
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for (const auto &nbri :
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boost::make_iterator_range(coreWithMatches->getAtomNeighbors(atom))) {
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nbrAtom = (*coreWithMatches)[nbri];
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break;
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}
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if (nbrAtom) {
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bool isUserDefinedLabel = usedLabelMap.isUserDefined(label);
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auto numExplicitHs = nbrAtom->getNumExplicitHs();
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if (usedLabelMap.getIsUsed(label)) {
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if (numExplicitHs) {
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nbrAtom->setNumExplicitHs(numExplicitHs - 1);
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}
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} else if (!isUserDefinedLabel ||
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data->params.removeAllHydrogenRGroupsAndLabels) {
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coreWithMatches->removeAtom(atomIdx);
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// if we remove an unused label from an aromatic atom,
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// we need to check whether we need to adjust its explicit
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// H count, or it will fail to kekulize
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if (isUserDefinedLabel && nbrAtom->getIsAromatic()) {
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nbrAtom->updatePropertyCache(false);
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if (!numExplicitHs) {
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nbrAtom->setNumExplicitHs(nbrAtom->getExplicitValence() -
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nbrAtom->getDegree());
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}
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}
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}
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nbrAtom->updatePropertyCache(false);
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}
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}
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return coreWithMatches;
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}
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RGroupRows RGroupDecomposition::getRGroupsAsRows() const {
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std::vector<RGroupMatch> permutation = data->GetCurrentBestPermutation();
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RGroupRows groups;
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auto usedLabelMap = UsedLabelMap(data->finalRlabelMapping);
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for (auto it = permutation.begin(); it != permutation.end(); ++it) {
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auto Rs_seen(usedLabelMap);
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// make a new rgroup entry
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groups.push_back(RGroupRow());
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RGroupRow &out_rgroups = groups.back();
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const R_DECOMP &in_rgroups = it->rgroups;
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for (const auto &rgroup : in_rgroups) {
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const auto realLabel = data->finalRlabelMapping.find(rgroup.first);
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CHECK_INVARIANT(realLabel != data->finalRlabelMapping.end(),
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"unprocessed rlabel, please call process() first.");
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Rs_seen.setIsUsed(realLabel->second);
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out_rgroups[RPREFIX + std::to_string(realLabel->second)] =
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rgroup.second->combinedMol;
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}
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out_rgroups[CORE] = outputCoreMolecule(*it, Rs_seen);
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}
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return groups;
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}
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//! return rgroups in column order group[attachment_point][molidx] = ROMol
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RGroupColumns RGroupDecomposition::getRGroupsAsColumns() const {
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std::vector<RGroupMatch> permutation = data->GetCurrentBestPermutation();
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RGroupColumns groups;
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std::unordered_set<std::string> rGroupWithRealMol{CORE};
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auto usedLabelMap = UsedLabelMap(data->finalRlabelMapping);
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unsigned int molidx = 0;
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for (auto it = permutation.begin(); it != permutation.end(); ++it, ++molidx) {
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auto Rs_seen(usedLabelMap);
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const R_DECOMP &in_rgroups = it->rgroups;
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for (const auto &rgroup : in_rgroups) {
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const auto realLabel = data->finalRlabelMapping.find(rgroup.first);
|
|
CHECK_INVARIANT(realLabel != data->finalRlabelMapping.end(),
|
|
"unprocessed rlabel, please call process() first.");
|
|
CHECK_INVARIANT(rgroup.second->combinedMol->hasProp(done),
|
|
"Not done! Call process()");
|
|
|
|
CHECK_INVARIANT(!Rs_seen.getIsUsed(realLabel->second),
|
|
"R group label appears multiple times!");
|
|
Rs_seen.setIsUsed(realLabel->second);
|
|
std::string r = RPREFIX + std::to_string(realLabel->second);
|
|
RGroupColumn &col = groups[r];
|
|
if (molidx && col.size() < molidx - 1) {
|
|
col.resize(molidx - 1);
|
|
}
|
|
col.push_back(rgroup.second->combinedMol);
|
|
rGroupWithRealMol.insert(r);
|
|
}
|
|
groups[CORE].push_back(outputCoreMolecule(*it, Rs_seen));
|
|
|
|
// add empty entries to columns where this molecule didn't appear
|
|
for (const auto &realLabel : data->finalRlabelMapping) {
|
|
if (!Rs_seen.getIsUsed(realLabel.second)) {
|
|
std::string r = RPREFIX + std::to_string(realLabel.second);
|
|
groups[r].push_back(boost::make_shared<RWMol>());
|
|
}
|
|
}
|
|
}
|
|
// purge R-group entries that have no mols
|
|
for (auto it = groups.begin(); it != groups.end();) {
|
|
auto itToErase = groups.end();
|
|
if (!rGroupWithRealMol.count(it->first)) {
|
|
itToErase = it;
|
|
}
|
|
++it;
|
|
if (itToErase != groups.end()) {
|
|
groups.erase(itToErase);
|
|
}
|
|
}
|
|
return groups;
|
|
}
|
|
|
|
const RGroupDecompositionParameters &RGroupDecomposition::params() const {
|
|
return data->params;
|
|
}
|
|
|
|
namespace {
|
|
std::vector<unsigned int> Decomp(RGroupDecomposition &decomp,
|
|
const std::vector<ROMOL_SPTR> &mols) {
|
|
auto t0 = std::chrono::steady_clock::now();
|
|
std::vector<unsigned int> unmatched;
|
|
for (size_t i = 0; i < mols.size(); ++i) {
|
|
int v = decomp.add(*mols[i].get());
|
|
if (v == -1) {
|
|
unmatched.push_back(i);
|
|
}
|
|
checkForTimeout(t0, decomp.params().timeout);
|
|
}
|
|
decomp.process();
|
|
return unmatched;
|
|
}
|
|
} // namespace
|
|
unsigned int RGroupDecompose(const std::vector<ROMOL_SPTR> &cores,
|
|
const std::vector<ROMOL_SPTR> &mols,
|
|
RGroupRows &rows,
|
|
std::vector<unsigned int> *unmatchedIndices,
|
|
const RGroupDecompositionParameters &options) {
|
|
RGroupDecomposition decomp(cores, options);
|
|
std::vector<unsigned int> unmatched = Decomp(decomp, mols);
|
|
if (unmatchedIndices) {
|
|
*unmatchedIndices = unmatched;
|
|
}
|
|
rows = decomp.getRGroupsAsRows();
|
|
return mols.size() - unmatched.size();
|
|
}
|
|
|
|
unsigned int RGroupDecompose(const std::vector<ROMOL_SPTR> &cores,
|
|
const std::vector<ROMOL_SPTR> &mols,
|
|
RGroupColumns &columns,
|
|
std::vector<unsigned int> *unmatchedIndices,
|
|
const RGroupDecompositionParameters &options) {
|
|
RGroupDecomposition decomp(cores, options);
|
|
std::vector<unsigned int> unmatched = Decomp(decomp, mols);
|
|
if (unmatchedIndices) {
|
|
*unmatchedIndices = unmatched;
|
|
}
|
|
columns = decomp.getRGroupsAsColumns();
|
|
return mols.size() - unmatched.size();
|
|
}
|
|
} // namespace RDKit
|