High-throughput analysis of behavior for drug discovery

被引：55

作者：

Alexandrov, Vadim ^{[1
]}

Brunner, Dani ^{[1
]}

Hanania, Taleen ^{[1
]}

Leahy, Emer ^{[1
]}

机构：

[1] PsychoGenics Inc, Tarrytown, NY 10591 USA

来源：

EUROPEAN JOURNAL OF PHARMACOLOGY | 2015年 / 750卷

关键词：

High-throughput; Drug screening; Computer vision; Machine learning; CNS; Social behavior; Animal models; Preclinical research; Smartcube; NeuroCube; PhenoCube; NEUROPATHIC PAIN; MODELS; RAT;

D O I：

10.1016/j.ejphar.2014.11.047

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

Drug testing with traditional behavioral assays constitutes a major bottleneck in the development of novel therapies. PsychoGenics developed three comprehensive high-throughput systems, SmartCube (R) NeuroCube (R) and PhenoCube (R) systems, to increase the efficiency of the drug screening and phenotyping in rodents. These three systems capture different domains of behavior, namely, cognitive, motor, circadian, social, anxiety-like, gait and others, using custom-built computer vision software and machine learning algorithms for analysis. This review exemplifies the use of the three systems and explains how they can advance drug screening with their applications to phenotyping of disease models, drug screening, selection of lead candidates, behavior-driven lead optimization, and drug repurposing. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：82 / 89

页数：8

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