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// Copyright (c) 2017-2021, Novartis Institutes for BioMedical Research Inc.
// and other RDKit contributors
//
// 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.
//
#define NO_IMPORT_ARRAY
#include <RDBoost/python.h>
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
#include <numpy/arrayobject.h>
#include <boost/python/list.hpp>
#include <string>
#include <cmath>
#include <chrono>
#include <RDGeneral/Exceptions.h>
#include <GraphMol/SmilesParse/SmilesWrite.h>
#include <GraphMol/RDKitBase.h>
#include <GraphMol/RGroupDecomposition/RGroupDecomp.h>
#include <GraphMol/RGroupDecomposition/RGroupUtils.h>
#include <RDBoost/Wrap.h>
#include <RDBoost/python_streambuf.h>
namespace python = boost::python;
using boost_adaptbx::python::streambuf;
namespace RDKit {
class RGroupDecompositionHelper {
std::unique_ptr<RGroupDecomposition> decomp;
public:
RGroupDecompositionHelper(python::object cores,
const RGroupDecompositionParameters ¶ms =
RGroupDecompositionParameters()) {
python::extract<ROMol> isROMol(cores);
if (isROMol.check()) {
decomp.reset(new RGroupDecomposition(isROMol(), params));
} else {
MOL_SPTR_VECT coreMols;
python::stl_input_iterator<ROMOL_SPTR> iter(cores), end;
while (iter != end) {
if (!*iter) {
throw_value_error("reaction called with None reactants");
}
coreMols.push_back(*iter);
++iter;
}
decomp.reset(new RGroupDecomposition(coreMols, params));
}
}
int Add(const ROMol &mol) {
NOGIL gil;
return decomp->add(mol);
}
int GetMatchingCoreIdx(const ROMol &mol, python::object &matches) {
std::vector<MatchVectType> matchVect;
int coreIdx;
{
NOGIL gil;
coreIdx = decomp->getMatchingCoreIdx(mol, &matchVect);
}
if (!matches.is_none() && PySequence_Check(matches.ptr())) {
auto &matchesList = reinterpret_cast<python::list &>(matches);
for (const auto &match : matchVect) {
python::list atomMap;
for (const auto &pair : match) {
atomMap.append(python::make_tuple(pair.first, pair.second));
}
matchesList.append(python::tuple(atomMap));
}
}
return coreIdx;
}
bool Process() {
NOGIL gil;
return decomp->process();
}
python::tuple ProcessAndScore() {
NOGIL gil;
auto result = decomp->processAndScore();
return python::make_tuple(result.success, result.score);
}
python::list GetRGroupLabels() {
python::list result;
std::vector<std::string> labels = decomp->getRGroupLabels();
for (auto label : labels) {
result.append(label);
}
return result;
}
python::list GetRGroupsAsRows(bool asSmiles = false) {
const RGroupRows &groups = decomp->getRGroupsAsRows();
python::list result;
for (const auto &side_chains : groups) {
python::dict dict;
for (const auto &[lbl, mol] : side_chains) {
if (asSmiles) {
dict[lbl] = MolToSmiles(*mol, true);
} else {
dict[lbl] = mol;
}
}
result.append(dict);
}
return result;
}
python::dict GetRGroupsAsColumns(bool asSmiles = false) {
python::dict result;
RGroupColumns groups = decomp->getRGroupsAsColumns();
for (RGroupColumns::const_iterator it = groups.begin(); it != groups.end();
++it) {
python::list col;
for (const auto &cit : it->second) {
if (asSmiles) {
col.append(MolToSmiles(*cit, true));
} else {
col.append(cit);
}
}
result[it->first] = col;
}
return result;
}
};
python::object RGroupDecomp(python::object cores, python::object mols,
bool asSmiles = false, bool asRows = true,
const RGroupDecompositionParameters &options =
RGroupDecompositionParameters()) {
auto t0 = std::chrono::steady_clock::now();
RGroupDecompositionHelper decomp(cores, options);
python::list unmatched;
python::stl_input_iterator<ROMOL_SPTR> iter(mols), end;
unsigned int idx = 0;
while (iter != end) {
if (!*iter) {
throw_value_error("reaction called with None reactants");
}
if (decomp.Add(*(*iter)) == -1) {
unmatched.append(idx);
}
++iter;
++idx;
checkForTimeout(t0, options.timeout);
}
decomp.Process();
if (asRows) {
return make_tuple(decomp.GetRGroupsAsRows(asSmiles), unmatched);
} else {
return make_tuple(decomp.GetRGroupsAsColumns(asSmiles), unmatched);
}
}
void relabelMappedDummiesHelper(ROMol &mol, unsigned int inputLabels,
unsigned int outputLabels) {
relabelMappedDummies(mol, static_cast<RGroupLabelling>(inputLabels),
static_cast<RGroupLabelling>(outputLabels));
}
struct rgroupdecomp_wrapper {
static void wrap() {
bool noproxy = true;
RegisterVectorConverter<RDKit::ROMOL_SPTR>("MOL_SPTR_VECT", noproxy);
std::string docString = "";
python::enum_<RDKit::RGroupLabels>("RGroupLabels")
.value("IsotopeLabels", RDKit::IsotopeLabels)
.value("AtomMapLabels", RDKit::AtomMapLabels)
.value("AtomIndexLabels", RDKit::AtomIndexLabels)
.value("RelabelDuplicateLabels", RDKit::RelabelDuplicateLabels)
.value("MDLRGroupLabels", RDKit::MDLRGroupLabels)
.value("DummyAtomLabels", RDKit::DummyAtomLabels)
.value("AutoDetect", RDKit::AutoDetect)
.export_values();
python::enum_<RDKit::RGroupMatching>("RGroupMatching")
.value("Greedy", RDKit::Greedy)
.value("GreedyChunks", RDKit::GreedyChunks)
.value("Exhaustive", RDKit::Exhaustive)
.value("NoSymmetrization", RDKit::NoSymmetrization)
.value("GA", RDKit::GA)
.export_values();
python::enum_<RDKit::RGroupLabelling>("RGroupLabelling")
.value("AtomMap", RDKit::AtomMap)
.value("Isotope", RDKit::Isotope)
.value("MDLRGroup", RDKit::MDLRGroup)
.export_values();
python::enum_<RDKit::RGroupCoreAlignment>("RGroupCoreAlignment")
// DEPRECATED, remove the folowing line in release 2021.03
.value("None", RDKit::NoAlignment)
.value("NoAlignment", RDKit::NoAlignment)
.value("MCS", RDKit::MCS)
.export_values();
python::enum_<RDKit::RGroupScore>("RGroupScore")
.value("Match", RDKit::Match)
.value("FingerprintVariance", RDKit::FingerprintVariance)
.export_values();
docString =
"RGroupDecompositionParameters controls how the RGroupDecomposition "
"sets labelling and matches structures\n"
" OPTIONS:\n"
" - RGroupCoreAlignment: can be one of RGroupCoreAlignment.None_ or "
"RGroupCoreAlignment.MCS\n"
" If set to MCS, cores labels are mapped to "
"each other using their\n"
" Maximum common substructure overlap.\n"
" - RGroupLabels: optionally set where the rgroup labels to use are "
"encoded.\n"
" RGroupLabels.IsotopeLabels - labels are stored "
"on isotopes\n"
" RGroupLabels.AtomMapLabels - labels are stored "
"on atommaps\n"
" RGroupLabels.MDLRGroupLabels - labels are stored "
"on MDL R-groups\n"
" RGroupLabels.DummyAtomLabels - labels are stored "
"on dummy atoms\n"
" RGroupLabels.AtomIndexLabels - use the atom "
"index "
"as the label\n"
" RGroupLabels.RelabelDuplicateLabels - fix any "
"duplicate labels\n"
" RGroupLabels.AutoDetect - auto detect the label "
"[default]\n"
" Note: in all cases, any rgroups found on unlabelled atoms will "
"be automatically\n"
" labelled.\n"
" - RGroupLabelling: choose where the rlabels are stored on the "
"decomposition\n"
" RGroupLabelling.AtomMap - store rgroups as atom "
"maps (for smiles)\n"
" RGroupLabelling.Isotope - store rgroups on the "
"isotope\n"
" RGroupLabelling.MDLRGroup - store rgroups as mdl "
"rgroups (for molblocks)\n"
" default: AtomMap | MDLRGroup\n"
" - onlyMatchAtRGroups: only allow rgroup decomposition at the "
"specified rgroups\n"
" - removeAllHydrogenRGroups: remove all user-defined rgroups that "
"only have hydrogens\n"
" - removeAllHydrogenRGroupsAndLabels: remove all user-defined "
"rgroups that only have hydrogens, and also remove the corresponding "
"labels from the core\n"
" - removeHydrogensPostMatch: remove all hydrogens from the output "
"molecules\n"
" - allowNonTerminalRGroups: allow labelled Rgroups of degree 2 or "
"more\n"
" - doTautomers: match all tautomers of a core against each "
"input structure\n"
" - doEnumeration: expand input cores into enumerated mol bundles\n"
" -allowMultipleRGroupsOnUnlabelled: permit more that one rgroup to "
"be attached to an unlabelled core atom";
python::class_<RDKit::RGroupDecompositionParameters>(
"RGroupDecompositionParameters", docString.c_str(),
python::init<>(python::args("self"), "Constructor, takes no arguments"))
.def_readwrite("labels", &RDKit::RGroupDecompositionParameters::labels)
.def_readwrite("matchingStrategy",
&RDKit::RGroupDecompositionParameters::matchingStrategy)
.def_readwrite("scoreMethod",
&RDKit::RGroupDecompositionParameters::scoreMethod)
.def_readwrite("rgroupLabelling",
&RDKit::RGroupDecompositionParameters::rgroupLabelling)
.def_readwrite("alignment",
&RDKit::RGroupDecompositionParameters::alignment)
.def_readwrite("chunkSize",
&RDKit::RGroupDecompositionParameters::chunkSize)
.def_readwrite(
"onlyMatchAtRGroups",
&RDKit::RGroupDecompositionParameters::onlyMatchAtRGroups)
.def_readwrite(
"removeAllHydrogenRGroups",
&RDKit::RGroupDecompositionParameters::removeAllHydrogenRGroups)
.def_readwrite(
"removeHydrogensPostMatch",
&RDKit::RGroupDecompositionParameters::removeHydrogensPostMatch)
.def_readwrite("timeout",
&RDKit::RGroupDecompositionParameters::timeout)
.def_readwrite("gaPopulationSize",
&RDKit::RGroupDecompositionParameters::gaPopulationSize)
.def_readwrite(
"gaMaximumOperations",
&RDKit::RGroupDecompositionParameters::gaMaximumOperations)
.def_readwrite("gaNumberOperationsWithoutImprovement",
&RDKit::RGroupDecompositionParameters::
gaNumberOperationsWithoutImprovement)
.def_readwrite("gaRandomSeed",
&RDKit::RGroupDecompositionParameters::gaRandomSeed)
.def_readwrite("gaNumberRuns",
&RDKit::RGroupDecompositionParameters::gaNumberRuns)
.def_readwrite("gaParallelRuns",
&RDKit::RGroupDecompositionParameters::gaParallelRuns)
.def_readwrite(
"allowNonTerminalRGroups",
&RDKit::RGroupDecompositionParameters::allowNonTerminalRGroups)
.def_readwrite("removeAllHydrogenRGroupsAndLabels",
&RDKit::RGroupDecompositionParameters::
removeAllHydrogenRGroupsAndLabels)
.def_readwrite("allowMultipleRGroupsOnUnlabelled",
&RDKit::RGroupDecompositionParameters::
allowMultipleRGroupsOnUnlabelled)
.def_readwrite("doTautomers",
&RDKit::RGroupDecompositionParameters::doTautomers)
.def_readwrite("doEnumeration",
&RDKit::RGroupDecompositionParameters::doEnumeration)
.def_readonly(
"substructMatchParams",
&RDKit::RGroupDecompositionParameters::substructmatchParams)
.def_readwrite(
"includeTargetMolInResults",
&RDKit::RGroupDecompositionParameters::includeTargetMolInResults);
python::class_<RDKit::RGroupDecompositionHelper, boost::noncopyable>(
"RGroupDecomposition", docString.c_str(),
python::init<python::object>(
python::args("self", "cores"),
"Construct from a molecule or sequence of molecules"))
.def(
python::init<python::object, const RGroupDecompositionParameters &>(
python::args("self", "cores", "params"),
"Construct from a molecule or sequence of molecules and a "
"parameters object"))
.def("Add", &RGroupDecompositionHelper::Add,
python::args("self", "mol"))
.def("GetMatchingCoreIdx",
&RGroupDecompositionHelper::GetMatchingCoreIdx,
((python::arg("self"), python::arg("mol")),
python::arg("matches") = python::object()))
.def("Process", &RGroupDecompositionHelper::Process,
python::args("self"),
"Process the rgroups (must be done prior to "
"GetRGroupsAsRows/Columns and GetRGroupLabels)")
.def("ProcessAndScore", &RGroupDecompositionHelper::ProcessAndScore,
python::args("self"),
"Process the rgroups and returns the score (must be done prior to "
"GetRGroupsAsRows/Columns and GetRGroupLabels)")
.def("GetRGroupLabels", &RGroupDecompositionHelper::GetRGroupLabels,
python::args("self"),
"Return the current list of found rgroups.\n"
"Note, Process() should be called first")
.def("GetRGroupsAsRows", &RGroupDecompositionHelper::GetRGroupsAsRows,
(python::arg("self"), python::arg("asSmiles") = false),
"Return the rgroups as rows (note: can be fed directly into a "
"pandas datatable)\n"
" ARGUMENTS:\n"
" - asSmiles: if True return smiles strings, otherwise return "
"molecules [default: False]\n"
" Row structure:\n"
" rows[idx] = {rgroup_label: molecule_or_smiles}\n")
.def("GetRGroupsAsColumns",
&RGroupDecompositionHelper::GetRGroupsAsColumns,
(python::arg("self"), python::arg("asSmiles") = false),
"Return the rgroups as columns (note: can be fed directly into a "
"pandas datatable)\n"
" ARGUMENTS:\n"
" - asSmiles: if True return smiles strings, otherwise return "
"molecules [default: False]\n"
" Column structure:\n"
" columns[rgroup_label] = [ mols_or_smiles ]\n");
docString =
"Decompose a collecion of molecules into their Rgroups\n"
" ARGUMENTS:\n"
" - cores: a set of cores from most to least specific.\n"
" See RGroupDecompositionParameters for more details\n"
" on how the cores can be labelled\n"
" - mols: the molecules to be decomposed\n"
" - asSmiles: if True return smiles strings, otherwise return "
"molecules [default: False]\n"
" - asRows: return the results as rows (default) otherwise return "
"columns\n"
"\n"
" RETURNS: row_or_column_results, unmatched\n"
"\n"
" Row structure:\n"
" rows[idx] = {rgroup_label: molecule_or_smiles}\n"
" Column structure:\n"
" columns[rgroup_label] = [ mols_or_smiles ]\n"
"\n"
" unmatched is a vector of indices in the input mols that were not "
"matched.\n";
python::def("RGroupDecompose", RGroupDecomp,
(python::arg("cores"), python::arg("mols"),
python::arg("asSmiles") = false, python::arg("asRows") = true,
python::arg("options") = RGroupDecompositionParameters()),
docString.c_str());
docString =
"Relabel dummy atoms bearing an R-group mapping (as\n"
"atom map number, isotope or MDLRGroup label) such that\n"
"they will be displayed by the rendering code as R# rather\n"
"than #*, *:#, #*:#, etc. By default, only the MDLRGroup label\n"
"is retained on output; this may be configured through the\n"
"outputLabels parameter.\n"
"In case there are multiple potential R-group mappings,\n"
"the priority on input is Atom map number > Isotope > MDLRGroup.\n"
"The inputLabels parameter allows to configure which mappings\n"
"are taken into consideration.\n";
python::def("RelabelMappedDummies", relabelMappedDummiesHelper,
(python::arg("mol"),
python::arg("inputLabels") = static_cast<RGroupLabelling>(
AtomMap | Isotope | MDLRGroup),
python::arg("outputLabels") = MDLRGroup),
docString.c_str());
};
};
} // namespace RDKit
BOOST_PYTHON_MODULE(rdRGroupDecomposition) {
python::scope().attr("__doc__") =
"Module containing RGroupDecomposition classes and functions.";
RDKit::rgroupdecomp_wrapper::wrap();
}
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