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* update .gitignore * foundation for 3D descriptors move PBF into core * cleanup work * a bit more cleanup * move the principal moments calc to MolTransforms * cleanup * cleanups * add caching of the principal moments and values * do not include the 3D descriptors in MolDescriptors.h * the properties are computed * add PMI descriptors and tests * add tests for NPR descriptors * return 0 when the largest PMI is zero * PMI edge case tests * NPR edge case tests * PBF edge case tests * PBF edge case tests * more edge cases * add a few more 3d descriptors * add defns to docs * tests for the new descriptors * add versions to new descriptors * add 3d descriptors to python wrapper * add eigen support to the travis build * try to get non-windows builds working * remove computeCovarianceMatrix() from java wrapper * make pmi property names "private"
143 lines
4.7 KiB
C++
143 lines
4.7 KiB
C++
//
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// Copyright (c) 2012, Institue of Cancer Research.
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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 Institue of Cancer Research.
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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 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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// For more information on the Plane of Best Fit please see http://pubs.acs.org/doi/abs/10.1021/ci300293f
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//
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// If this code has been useful to you, please include the reference
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// in any work which has made use of it:
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// Plane of Best Fit: A Novel Method to Characterize the Three-Dimensionality of Molecules, Nicholas C. Firth, Nathan Brown, and Julian Blagg, Journal of Chemical Information and Modeling 2012 52 (10), 2516-2525
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//
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//
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// Created by Nicholas Firth, November 2011
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// Modified by Greg Landrum for inclusion in the RDKit distribution November 2012
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// Further modified by Greg Landrum for inclusion in the RDKit core September 2016
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//
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#include <GraphMol/RDKitBase.h>
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#include <GraphMol/MolTransforms/MolTransforms.h>
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#include "PBF.h"
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#include <Numerics/Matrix.h>
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#include <Numerics/SquareMatrix.h>
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#include <Numerics/SymmMatrix.h>
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#include <boost/foreach.hpp>
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#include <Eigen/Dense>
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namespace RDKit {
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namespace Descriptors{
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namespace {
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double distanceFromAPlane(const RDGeom::Point3D &pt,const std::vector<double> &plane, double denom){
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double numer=0.0;
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numer = std::abs(pt.x*plane[0]+pt.y*plane[1]+pt.z*plane[2]+plane[3]);
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return numer/denom;
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}
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bool getBestFitPlane(const Conformer &conf,
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const std::vector<RDGeom::Point3D> &points,
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std::vector<double> &plane,
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const std::vector<double> *weights) {
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PRECONDITION((!weights || weights->size()>=points.size()),"bad weights vector");
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PRECONDITION(plane.size()>=4,"bad plane");
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RDGeom::Point3D origin(0,0,0);
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double wSum=0.0;
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for(unsigned int i=0;i<points.size();++i){
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if(weights){
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double w=(*weights)[i];
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wSum+=w;
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origin+=points[i]*w;
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} else {
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wSum+=1;
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origin+=points[i];
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}
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}
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origin /= wSum;
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Eigen::Matrix3d evects;
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Eigen::Vector3d evals;
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MolTransforms::computePrincipalAxesAndMoments(conf,evects,evals,false,weights);
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RDGeom::Point3D normal;
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normal.x=evects(0,0);
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normal.y=evects(1,0);
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normal.z=evects(2,0);
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plane[0] = normal.x;
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plane[1] = normal.y;
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plane[2] = normal.z;
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plane[3] = -1*normal.dotProduct(origin);
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return true;
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}
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} //end of anonymous namespace
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double PBF(const ROMol& mol,int confId){
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PRECONDITION(mol.getNumConformers()>=1,"molecule has no conformers")
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unsigned int numAtoms = mol.getNumAtoms();
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if(numAtoms<4) return 0;
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const Conformer &conf = mol.getConformer(confId);
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if(!conf.is3D()) return 0 ;
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std::vector<RDGeom::Point3D> points;
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points.reserve(numAtoms);
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for(unsigned int i=0; i<numAtoms; ++i){
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points.push_back(conf.getAtomPos(i));
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}
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std::vector<double> plane(4);
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if(!getBestFitPlane(conf,points,plane,NULL)){
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// the eigenvalue calculation failed, return 0
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// FIX: throw an exception here?
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return 0.0;
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}
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double denom=0.0;
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for(unsigned int i=0; i<3; ++i){
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denom += plane[i]*plane[i];
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}
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denom = sqrt(denom);
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double res=0.0;
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for(unsigned int i=0; i<numAtoms; ++i){
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res+= distanceFromAPlane(points[i], plane, denom);
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}
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res /= numAtoms;
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return res;
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}
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} // end of Descriptors namespace
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} // end of RDKit namespace
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