Healthy Skepticism Library item: 12677

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Publication type: Journal Article

Pitluk Z, Khalil I.
Achieving confidence in mechanism for drug discovery and development.
Drug Discov Today 2007 Nov; 12:(21-22):924-30
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6T64-4R1FJ59-1&_user=10&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=880b68532ed471433a31183ff573b1ac

Abstract:

Decisions in drug development are made on the basis of determinations of cause and effect from experimental observations that span drug development phases. Despite advances in our powers of observation, the ability to determine compound mechanisms from large-scale multi-omic technologies continues to be a major bottleneck. This can only be overcome by utilizing computational learning methods that identify from compound data the circuits and connections between drug-affected molecular constituents and physiological observables. The marriage of multi-omics technologies with network inference approaches will provide missing insights needed to improve drug development success rates.

Keywords:
Animals Computational Biology Drug Design* Drug Industry Humans Models, Biological