Document Detail


How to avoid rediscovering the known.
MedLine Citation:
PMID:  21371591     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
For anyone who has participated in a screening exercise in a pharmaceutical or biotech setting with the aim to discover hits against protein targets, it is evident that a single screening exercise does not always offer hits of sufficient quality to be progressed into a lead compound. Often, more than one screen is needed. The premise in conducting a new screening exercise is to find "better" hits that are chemically and pharmacologically more attractive. As we move into challenging, new target classes, the need of new methods to find tractable hits is ever more urgent and the availability of differentiated backup compounds is crucial to sustain a clinical program. The obvious alternate routes to conduct the new screen include an improved compound library, a larger compound library, and different or more sensitive detection methods. As many of us have experienced firsthand, repeating a screen without drastically changing the chemical nature of the compound library or information content of the readout likely will offer only variations of the original hits. This chapter describes the strategies to adopt in fragment-based lead discovery to avoid rediscovering the known.
Authors:
Lawrence C Kuo
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Methods in enzymology     Volume:  493     ISSN:  1557-7988     ISO Abbreviation:  Meth. Enzymol.     Publication Date:  2011  
Date Detail:
Created Date:  2011-03-04     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0212271     Medline TA:  Methods Enzymol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  159-68     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Using computational techniques in fragment-based drug discovery.
Next Document:  From experimental design to validated hits a comprehensive walk-through of fragment lead identificat...