Exploiting QSAR methods in lead optimization.
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Brown, Nathan and Lewis, Richard (2006) Exploiting QSAR methods in lead optimization. Current Opinion in Drug Discovery & Development, 9 (4). pp. 419-424. ISSN 1367-6733
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.
| Item Type: | Article |
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| Additional Information: | author can archive post-print (ie final draft post-refereeing); On a non-profit server |
| Keywords: | Extrapolation; inverse QSAR; overfitting; QSAR |
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| Date Deposited: | 14 Dec 2009 13:56 |
| Last Modified: | 14 Dec 2009 13:56 |
| URI: | https://oak.novartis.com/id/eprint/625 |