Mechanistic Vs. Empirical Network Models of Drug Action

被引：19

作者：

Birtwistle, M. R. ^{[1
]}

Mager, D. E. ^{[2
]}

Gallo, J. M. ^{[1
]}

机构：

[1] Icahn Sch Med Mt Sinai, Dept Pharmacol & Syst Therapeut, New York, NY 10029 USA

[2] SUNY Buffalo, Dept Pharmaceut Sci, Buffalo, NY USA

来源：

CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY | 2013年 / 2卷 / 09期

关键词：

D O I：

10.1038/psp.2013.51

中图分类号：

R9 [药学];

学科分类号：

1007 [药学];

摘要：

Declining success rates coupled with increased costs is leading to an inevitable breaking point in the drug development pipeline. Can we avoid it by incorporating the vast mechanistic understanding of drug action? A recent review highlights this dilemma and proposes "quantitative logic gate" modeling as a solution. 1 The goal of this commentary is to contrast this approach with mechanistic biochemical network models, which, although alluded to by Kiruoac and Onsum, requires a closer analysis.

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