Has the Time Come for Predictive Computer Modeling in CNS Drug Discovery and Development?

被引：14
|
作者：
Geerts, H. [1 ,2 ]
Spiros, A. [1 ]
Roberts, P. [1 ,3 ]
Carr, R. [1 ]
机构：
[1] Silico Biosci, Dept Biomed Engn, Berwyn, PA 19301 USA
[2] Univ Penn, Perelman Sch Med, Dept Biomed Engn, Philadelphia, PA 19104 USA
[3] Oregon Hlth & Sci Univ, Dept Biomed Engn, Portland, OR 97201 USA
来源：
CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY | 2012年 / 1卷 / 11期
关键词：
D O I：
10.1038/psp.2012.17
中图分类号：
R9 [药学];
学科分类号：
1007 ;
摘要：
We discuss whether a new paradigm, quantitative systems pharmacology (QSP), based on computational neuroscience modeling combined with proper drug target engagement and pharmacology, human pathology, imaging studies, and calibration and validation using clinical studies in human subjects might improve the success rate of central nervous systems research and development (CNS R&D) projects. We suggest that an improved understanding of neuronal circuit interactions using a humanized computer-based integration of physiology and pharmacology knowledge can substantially de-risk new CNS projects.
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页数：4
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