Reprint of: Highthroughtput analysis of behavior for drug discovery
Reprint of: Highthroughtput analysis of behavior for drug discovery
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DOI：
10.1016/j.ejphar.2015.02.037
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发表时间：
2015-04-15
影响因子：
5
通讯作者：
Leahy, Emer
中科院分区：
文献类型：
--
作者：
Alexandrov, Vadim;Brunner, Dani;Leahy, Emer
传统的行为分析药物测试构成了开发新疗法的主要瓶颈。PsychoGenics开发了三种综合性高通量系统，SmartCube（R）、NeuroCube（R）和PhenoCube（R）系统，以提高啮齿动物药物筛选和表型分析的效率。这三个系统捕捉不同的行为领域，即认知，运动，昼夜节律，社交，焦虑，步态等，使用定制的计算机视觉软件和机器学习算法进行分析。本文综述了这三个系统的使用，并解释了它们如何通过应用于疾病模型的表型分析、药物筛选、候选药物的选择、行为驱动的先导优化和药物再利用来推进药物筛选。(C)2015 Elsevier B.V.版权所有。
Drug testing with traditional behavioral assays constitutes a major bottleneck in the development of novel therapies. PsychoGenics developed three comprehensive highthroughtput 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.