| Literature DB >> 19543224 |
Abstract
Drug development projects have high attrition rates, often because efficacy and safety issues have not been foreseen. More effective prediction of 'translational success' could therefore have a key role in addressing the widely acknowledged problems with weak drug development pipelines. Here, I discuss how a scoring system to systematically assess key determinants of translational success, such as biomarkers and animal and human data, could help identify deficiencies and potential improvements, and increase the reliability of portfolio risk estimates.Entities:
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Year: 2009 PMID: 19543224 DOI: 10.1038/nrd2898
Source DB: PubMed Journal: Nat Rev Drug Discov ISSN: 1474-1776 Impact factor: 84.694