Literature DB >> 9524931

Using a genetic algorithm to identify common structural features in sets of ligands.

J D Holliday1, P Willett.   

Abstract

This article describes a program for pharmacophore mapping, called MPHIL (Mapping Pharmacophores in Ligands). Given as input a set of molecules that exhibit some common biological activity, MPHIL identifies the smallest 3D pattern of pharmacophore points that has at least m (a user-defined parameter) points in common with each of the input molecules. The program thus differs from existing programs for pharmacophore mapping in that it does not require all of the molecules to share exactly the same pattern of points, although it will find such a common pattern if it does, indeed, exist. MPHIL uses a genetic algorithm (GA) approach in which an initial, and very rapid, GA is used to suggest possible combinations of points that are then processed by the second GA to yield the final 3D pattern.

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Year:  1997        PMID: 9524931     DOI: 10.1016/s1093-3263(97)00080-6

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  3 in total

1.  Deterministic pharmacophore detection via multiple flexible alignment of drug-like molecules.

Authors:  Dina Schneidman-Duhovny; Oranit Dror; Yuval Inbar; Ruth Nussinov; Haim J Wolfson
Journal:  J Comput Biol       Date:  2008-09       Impact factor: 1.479

2.  Novel approach for efficient pharmacophore-based virtual screening: method and applications.

Authors:  Oranit Dror; Dina Schneidman-Duhovny; Yuval Inbar; Ruth Nussinov; Haim J Wolfson
Journal:  J Chem Inf Model       Date:  2009-10       Impact factor: 4.956

3.  PharmaGist: a webserver for ligand-based pharmacophore detection.

Authors:  Dina Schneidman-Duhovny; Oranit Dror; Yuval Inbar; Ruth Nussinov; Haim J Wolfson
Journal:  Nucleic Acids Res       Date:  2008-04-19       Impact factor: 16.971

  3 in total

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