4.7 Article

High-throughput analysis of behavior for drug discovery

Journal

EUROPEAN JOURNAL OF PHARMACOLOGY
Volume 750, Issue -, Pages 82-89

Publisher

ELSEVIER
DOI: 10.1016/j.ejphar.2014.11.047

Keywords

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

Funding

  1. NIMH NIH HHS [R43 MH076342, R44 MH066659] Funding Source: Medline
  2. NINDS NIH HHS [R43 NS046980] Funding Source: Medline

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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.

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