Literature DB >> 8253878

Deducing molecular similarity using Voronoi binding sites.

M Bradley1, W Richardson, G M Crippen.   

Abstract

We have devised a new measure of molecular similarity with respect to given simple partitions of space into regions. The similarity is determined by numerical integration of the difference in the optimal interaction between the two molecules and the regions over a large range of interaction parameter values. Compounds differing in empirical formula are differentiated by a single infinite region; cis/trans or ortho/meta/para isomers are distinguishable by two adjacent regions that are half-spaces; and stereoisomers require five regions. This can be viewed as a natural classification of isomers. The concept can also be applied to drug binding studies to determine which molecules may bind alike in a given biological receptor and to elucidate a necessary starting geometry when a binding site is modeled for inhibitors whose experimental binding energies are different.

Mesh:

Year:  1993        PMID: 8253878     DOI: 10.1021/ci00015a014

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  2 in total

Review 1.  A cheminformatic toolkit for mining biomedical knowledge.

Authors:  Gus R Rosania; Gordon Crippen; Peter Woolf; David States; Kerby Shedden
Journal:  Pharm Res       Date:  2007-03-24       Impact factor: 4.200

2.  The measurement of molecular diversity by receptor site interaction simulation.

Authors:  C A Parks; G M Crippen; J G Topliss
Journal:  J Comput Aided Mol Des       Date:  1998-09       Impact factor: 3.686

  2 in total

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