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|Title:||Molecular similarity and diversity approaches in chemoinformatics|
|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|
|Appears in Collections:||Staff Publications|
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