Literature DB >> 10354540

Molecular diversity and its analysis.

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Abstract

We have recently developed a novel strategy for the rational design of compounds. This 'in silico screening' approach is based on the design and screening of virtual combinatorial libraries. Screening is performed using defined rules derived from a comprehensive description of active and inactive molecules in a relevant learning set. This strategy allows the development of potential ligands without the necessity of any knowledge of the 3D-structure of the target receptor. Key to the success of such methods is the quality of the information being processed, in particular, the diversity of the data in the context of the molecular population in the libraries concerned. Here, we review the problem of data diversity, its definition and its analysis using a new software tool, named Diverser.

Year:  1999        PMID: 10354540     DOI: 10.1016/s1359-6446(99)01334-3

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  3 in total

1.  Bioavailability prediction based on molecular structure for a diverse series of drugs.

Authors:  Joseph V Turner; Desmond J Maddalena; Snezana Agatonovic-Kustrin
Journal:  Pharm Res       Date:  2004-01       Impact factor: 4.200

2.  Creating molecular diversity from antioxidants in Brazilian propolis. Combination of TOPS-MODE QSAR and virtual structure generation.

Authors:  Ernesto Estrada; Jose A Quincoces; Grace Patlewicz
Journal:  Mol Divers       Date:  2004       Impact factor: 2.943

3.  A practical Java tool for small-molecule compound appraisal.

Authors:  Parisa Amani; Todd Sneyd; Sarah Preston; Neil D Young; Lyndel Mason; Ulla-Maja Bailey; Jonathan Baell; David Camp; Robin B Gasser; Alain-Dominique Gorse; Paul Taylor; Andreas Hofmann
Journal:  J Cheminform       Date:  2015-06-16       Impact factor: 5.514

  3 in total

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