Literature DB >> 11842423

Current practices in generation of small molecule new leads.

R A Goodnow1.   

Abstract

The current drug discovery processes in many pharmaceutical companies require large and growing collections of high quality lead structures for use in high throughput screening assays. Collections of small molecules with diverse structures and "drug-like" properties have, in the past, been acquired by several means: by archive of previous internal lead optimization efforts, by purchase from compound vendors, and by union of separate collections following company mergers. More recently, many drug discovery companies have established dedicated efforts to effect synthesis by internal and/or outsourcing efforts of targeted compound libraries for new lead generation. Although high throughput/combinatorial chemistry is an important component in the process of new lead generation, the selection of library designs for synthesis and the subsequent design of library members has evolved to a new level of challenge and importance. The potential benefits of screening multiple small molecule compound library designs against multiple biological targets offers substantial opportunity to discover new lead structures. Subsequent optimization of such compounds is often accelerated because of the structure-activity relationship (SAR) information encoded in these lead generation libraries. Lead optimization is often facilitated due to the ready applicability of high-throughput chemistry (HTC) methods for follow-up synthesis. Some of the strategies, trends, and critical issues central to the success of lead generation processes are discussed below. Copyright 2002 Wiley-Liss, Inc.

Mesh:

Year:  2001        PMID: 11842423     DOI: 10.1002/jcb.10061

Source DB:  PubMed          Journal:  J Cell Biochem Suppl        ISSN: 0733-1959


  3 in total

1.  High-content phenotypic screenings to identify inhibitors of Candida albicans biofilm formation and filamentation.

Authors:  Christopher G Pierce; Stephen P Saville; Jose L Lopez-Ribot
Journal:  Pathog Dis       Date:  2014-03-11       Impact factor: 3.166

2.  A second-generation device for automated training and quantitative behavior analyses of molecularly-tractable model organisms.

Authors:  Douglas Blackiston; Tal Shomrat; Cindy L Nicolas; Christopher Granata; Michael Levin
Journal:  PLoS One       Date:  2010-12-17       Impact factor: 3.240

3.  A Novel Small Molecule Inhibitor of Candida albicans Biofilm Formation, Filamentation and Virulence with Low Potential for the Development of Resistance.

Authors:  Christopher G Pierce; Ashok K Chaturvedi; Anna L Lazzell; Alexander T Powell; Stephen P Saville; Stanton F McHardy; Jose L Lopez-Ribot
Journal:  NPJ Biofilms Microbiomes       Date:  2015-08-12       Impact factor: 7.290

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.