Document Detail


Do technical and commercial biases contribute to the pharmaceutical industry's productivity problems? An analysis of how reordering priorities can improve productivity.
MedLine Citation:
PMID:  20599625     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Of the many issues that contribute to the pharmaceutical industry's productivity problems, biases in the drug discovery and development (DDD) process should be included on the list. The dominant bias pervading the early DDD process is the requirement to identify and develop a commercializable molecule, long before the importance of the target in human disease is understood. That requirement filters out many potentially valuable projects. By changing the emphasis from identifying a commercializable molecule to using molecular tools to test the relevance of the mechanism in humans, the projected number of proofs of concept and subsequent launches could increase up to fivefold. Because this tool paradigm requires resources, one consideration is to form a consortium to share the burden, benefiting both the industry and patients in need.
Authors:
David A Fryburg
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Publication Detail:
Type:  Journal Article; Review     Date:  2010-06-25
Journal Detail:
Title:  Drug discovery today     Volume:  15     ISSN:  1878-5832     ISO Abbreviation:  Drug Discov. Today     Publication Date:  2010 Sep 
Date Detail:
Created Date:  2010-09-13     Completed Date:  2011-01-20     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9604391     Medline TA:  Drug Discov Today     Country:  England    
Other Details:
Languages:  eng     Pagination:  766-72     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 Elsevier Ltd. All rights reserved.
Affiliation:
ROI BioPharma Consulting, LLC, 14 Alexander Drive, East Lyme, CT 06333, United States. dfryburg@roibiopharma.com
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MeSH Terms
Descriptor/Qualifier:
Cooperative Behavior
Drug Discovery / methods*
Drug Industry / methods*
Efficiency*
Humans
Prejudice*
Risk Assessment

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


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