Literature DB >> 25744878

Reprint of: Highthroughtput analysis of behavior for drug discovery.

Vadim Alexandrov1, Dani Brunner2, Taleen Hanania1, Emer Leahy1.   

Abstract

Drug testing with traditional behavioral assays constitutes a major bottleneck in the development of novel therapies. PsychoGenics developed three comprehensive highthroughtput systems, SmartCube(®), NeuroCube(®) and PhenoCube(®) 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.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Behavioral screening; CNS diseases; Computer vision software; Disease models; Drug discovery; Drug screening; High-throughput; Machine learning algorithms; NeuroCube, PhenoCube; Phenotyping; Preclinical research; SmartCube; Social behavior, animal models

Year:  2015        PMID: 25744878     DOI: 10.1016/j.ejphar.2015.02.037

Source DB:  PubMed          Journal:  Eur J Pharmacol        ISSN: 0014-2999            Impact factor:   4.432


  3 in total

Review 1.  Update of neurotrophic factors in neurobiology of addiction and future directions.

Authors:  Maryna Koskela; Susanne Bäck; Vootele Võikar; Christopher T Richie; Andrii Domanskyi; Brandon K Harvey; Mikko Airavaara
Journal:  Neurobiol Dis       Date:  2016-05-14       Impact factor: 5.996

2.  Comprehensive Analysis of the 16p11.2 Deletion and Null Cntnap2 Mouse Models of Autism Spectrum Disorder.

Authors:  Daniela Brunner; Patricia Kabitzke; Dansha He; Kimberly Cox; Lucinda Thiede; Taleen Hanania; Emily Sabath; Vadim Alexandrov; Michael Saxe; Elior Peles; Alea Mills; Will Spooren; Anirvan Ghosh; Pamela Feliciano; Marta Benedetti; Alice Luo Clayton; Barbara Biemans
Journal:  PLoS One       Date:  2015-08-14       Impact factor: 3.240

3.  Integrated analysis on transcriptome and behaviors defines HTT repeat-dependent network modules in Huntington's disease.

Authors:  Lulin Huang; Li Fang; Qian Liu; Abolfazl Doostparast Torshizi; Kai Wang
Journal:  Genes Dis       Date:  2021-06-09
  3 in total

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