Multitarget drug discovery projects in CNS diseases: quantitative systems pharmacology as a possible path forward

被引:12
|
作者
Geerts, Hugo [1 ]
Kennis, Ludo [1 ]
机构
[1] In Silico Biosci, University Pk, PA 16802 USA
关键词
DOUBLE-BLIND PLACEBO; ANTIPSYCHOTIC POLYPHARMACY; COGNITIVE DEFICITS; COMPUTER-MODEL; PARKINSONS-DISEASE; LONG-TERM; SCHIZOPHRENIA; EFFICACY; SAFETY; RISPERIDONE;
D O I
10.4155/FMC.14.97
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Clinical development in brain diseases has one of the lowest success rates in the pharmaceutical industry, and many promising rationally designed single-target R&D projects fail in expensive Phase III trials. By contrast, successful older CNS drugs do have a rich pharmacology. This article will provide arguments suggesting that highly selective single-target drugs are not sufficiently powerful to restore complex neuronal circuit homeostasis. A rationally designed multitarget project can be derisked by dialing in an additional symptomatic treatment effect on top of a disease modification target. Alternatively, we expand upon a hypothetical workflow example using a humanized computer-based quantitative systems pharmacology platform. The hope is that incorporating rationally multipharmacology drug discovery could potentially lead to more impactful polypharmacy drugs.
引用
收藏
页码:1757 / 1769
页数:13
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