Exploiting QSAR methods in lead optimization.

Nathan Brown; Richard A Lewis

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PubMed · 16889226

Exploiting QSAR methods in lead optimization.

Nathan Brown·Richard A Lewis

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Abstract

Quantitative structure-activity relationship (QSAR) models play a key role in lead optimization, where the focus is on increased efficiency and lower attrition. When experimental data becomes rate limiting, a suitable model can bridge the experimental resource gap and direct investigation of a lead series toward productive lines. Technically, QSAR models can be readily generated and published to a wide community via the World Wide Web. We therefore focus this review on issues affecting model quality rather than on cataloguing models that are available. We also review the area of inverse QSAR, in which a model can be harnessed to semi-automated methods to provide an efficient way to explore vast areas of chemical space.

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Models, Chemical Quantitative Structure-Activity Relationship Technology, Pharmaceutical Journal Article Review

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Nathan Brown, Richard A Lewis. 2006. Exploiting QSAR methods in lead optimization.. https://pubmed.ncbi.nlm.nih.gov/16889226/

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