Literature DB >> 9834906

The measurement of molecular diversity by receptor site interaction simulation.

C A Parks1, G M Crippen, J G Topliss.   

Abstract

The assembly of large compound libraries for the purpose of screening against various receptor targets to identify chemical leads for drug discovery programs has created a need for methods to measure the molecular diversity of such libraries. The method described here, for which we propose the acronym RESIS (for Receptor Site Interaction Simulation), relates directly to this use. A database is built of three-dimensional representations of the compounds in the library and a set of three-point three-dimensional theoretical receptor sites is generated based on putative hydrophobic and polar interactions. A series of flexible, three-dimensional searches is then performed over the database, using each of the theoretical sites as the basis for one such search. The resulting pattern of hits across the grid of theoretical receptor sites provides a measure of the molecular diversity of the compound library. This can be conveniently displayed as a density map which provides a readily comprehensible visual impression of the library diversity characteristics. A library of 7500 drug compounds derived from the CIPSLINEPC databases was characterized with respect to molecular diversity using the RESIS method. Some specific uses for the information obtained from application of the method are discussed. A comparison was made of the results from the RESIS method with those from a recently published two-dimensional approach for assessing molecular diversity using sets of compounds from the Maybridge database (MAY).

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Year:  1998        PMID: 9834906     DOI: 10.1023/a:1008023429373

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  7 in total

1.  Similarity measures for rational set selection and analysis of combinatorial libraries: the Diverse Property-Derived (DPD) approach.

Authors:  R A Lewis; J S Mason; I M McLay
Journal:  J Chem Inf Comput Sci       Date:  1997 May-Jun

2.  The measurement of molecular diversity: a three-dimensional approach.

Authors:  D Chapman
Journal:  J Comput Aided Mol Des       Date:  1996-12       Impact factor: 3.686

3.  Measuring diversity: experimental design of combinatorial libraries for drug discovery.

Authors:  E J Martin; J M Blaney; M A Siani; D C Spellmeyer; A K Wong; W H Moos
Journal:  J Med Chem       Date:  1995-04-28       Impact factor: 7.446

4.  Deducing molecular similarity using Voronoi binding sites.

Authors:  M Bradley; W Richardson; G M Crippen
Journal:  J Chem Inf Comput Sci       Date:  1993 Sep-Oct

5.  Enhancing the diversity of a corporate database using chemical database clustering and analysis.

Authors:  N E Shemetulskis; J B Dunbar; B W Dunbar; D W Moreland; C Humblet
Journal:  J Comput Aided Mol Des       Date:  1995-10       Impact factor: 3.686

6.  Characterising the geometric diversity of functional groups in chemical databases.

Authors:  S M Boyd; M Beverley; L Norskov; R E Hubbard
Journal:  J Comput Aided Mol Des       Date:  1995-10       Impact factor: 3.686

7.  Investigating the extension of pairwise distance pharmacophore measures to triplet-based descriptors.

Authors:  A C Good; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1995-08       Impact factor: 3.686

  7 in total
  1 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

  1 in total

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