Please use this identifier to cite or link to this item: https://doi.org/10.1002/ddr.20404
Title: Molecular similarity and diversity approaches in chemoinformatics
Authors: Khanna, V.
Ranganathan, S. 
Keywords: Drug development
Library design
Molecular diversity
Molecular similarity
Virtual screening
Issue Date: Feb-2011
Citation: Khanna, V., Ranganathan, S. (2011-02). Molecular similarity and diversity approaches in chemoinformatics. Drug Development Research 72 (1) : 74-84. ScholarBank@NUS Repository. https://doi.org/10.1002/ddr.20404
Abstract: (Table Presented) Combinatorial synthesis and high-throughput screening (HTS) are playing increasingly important roles in chemoinformatics. This review gives an overview of the strategies available for library design and compound selection. Although the traditional approach of diversity-oriented library design continues to be an important criterion in lead generation, nevertheless, pharmacokinetic properties are also widely recognized in compound selection for generating lead libraries. We summarize all the current molecular similarity and diversity methods employed in chemoinformatics to design lead libraries for in silico drug discovery. We have also included a section on popular molecular descriptors and similarity/diversity coefficients. Recent developments, include multi-optimization design algorithms to select suitable molecules, such as Pareto-optimization, representing a compromise between several competing objectives, have also been discussed in the context of virtual screening and library design. © 2010 Wiley-Liss, Inc.
Source Title: Drug Development Research
URI: http://scholarbank.nus.edu.sg/handle/10635/108673
ISSN: 02724391
DOI: 10.1002/ddr.20404
Appears in Collections:Staff Publications

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