Knowledge-based approaches in the design and selection of compound libraries for drug discovery |
| |
Authors: | Viswanadhan Vellarkad N Balan Chenera Hulme Christopher Cheetham Janet C Sun Yaxiong |
| |
Affiliation: | Amgen Inc, Small Molecule Drug Discovery, 1 Amgen Center Drive, Thousand Oaks, CA 91320, USA. visv@amgen.com |
| |
Abstract: | In the past decade, the pharmaceutical industry has realized the increasing significance of impacting the early phase hit-to-lead development in the drug discovery process. In particular, knowledge-based approaches emerged and evolved to address a multitude of issues such as absorption, distribution, metabolism and excretion (ADME), potency, toxicity and overall drugability. Each of these approaches seeks to bring together all relevant pieces of information and create a knowledge-oriented process to deploy such information in drug discovery. This review focuses on work relating to drugability, which aims at obtaining hits (or leads) that have enhanced likelihoods of leading to successful clinical candidates by medicinal chemistry efforts. The period covered in this review is from 1997 (since the publication of Lipinski's rule of 5) to March 2002. |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|