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
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
收藏
页码:82 / 89
页数:8
相关论文
共 50 条
[41]   A robust high-throughput sandwich cell-based drug screening platform [J].
Zhang, Shufang ;
Tong, Wenhao ;
Zheng, Baixue ;
Susanto, Thomas A. K. ;
Xia, Lei ;
Zhang, Chi ;
Ananthanarayanan, Abhishek ;
Tuo, Xiaoye ;
Sakban, Rashidah B. ;
Jia, Ruirui ;
Iliescu, Ciprian ;
Chai, Kah-Hin ;
McMillian, Michael ;
Shen, Shali ;
Leo, Hwaliang ;
Yu, Hanry .
BIOMATERIALS, 2011, 32 (04) :1229-1241
[42]   Generation of High-Throughput Three-Dimensional Tumor Spheroids for Drug Screening [J].
Griner, Lesley Mathews ;
Gampa, Kalyani ;
Do, Toan ;
Nguyen, Huyen ;
Farley, David ;
Hogan, Christopher J. ;
Auld, Douglas S. ;
Silver, Serena J. .
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2018, (139)
[43]   Automated high-throughput neurophenotyping of zebrafish social behavior [J].
Green, Jeremy ;
Collins, Christopher ;
Kyzar, Evan J. ;
Pham, Mimi ;
Roth, Andrew ;
Gaikwad, Siddharth ;
Cachat, Jonathan ;
Stewart, Adam Michael ;
Landsman, Samuel ;
Grieco, Fabrizio ;
Tegelenbosch, Ruud ;
Noldus, Lucas P. J. J. ;
Kalueff, Allan V. .
JOURNAL OF NEUROSCIENCE METHODS, 2012, 210 (02) :266-271
[44]   High-throughput chromatographic approaches to liquid chromatographic/tandem mass spectrometric bioanalysis to support drug discovery and development [J].
Berna, MJ ;
Ackermann, BL ;
Murphy, AT .
ANALYTICA CHIMICA ACTA, 2004, 509 (01) :1-9
[45]   Multi-channel counter-current chromatography for high-throughput fractionation of natural products for drug discovery [J].
Wu, Shihua ;
Yang, Lu ;
Gao, Yuan ;
Liu, Xiaoyue ;
Liu, Feiyan .
JOURNAL OF CHROMATOGRAPHY A, 2008, 1180 (1-2) :99-107
[46]   High-Throughput Synthesis of Thin Films for the Discovery of Energy Materials: A Perspective [J].
Moradi, Shahram ;
Kundu, Soumya ;
Saidaminov, Makhsud I. .
ACS MATERIALS AU, 2022, 2 (05) :516-524
[47]   High-throughput discovery of functional disordered regions: investigation of transactivation domains [J].
Ravarani, Charles N. J. ;
Erkina, Tamara Y. ;
De Baets, Greet ;
Dudman, Daniel C. ;
Erkine, Alexandre M. ;
Babu, M. Madan .
MOLECULAR SYSTEMS BIOLOGY, 2018, 14 (05)
[48]   High-throughput approaches for the discovery and optimization of new olefin polymerization catalysts [J].
Murphy, V ;
Bei, XH ;
Boussie, TR ;
Brümmer, O ;
Diamond, GM ;
Goh, C ;
Hall, KA ;
Lapointe, AM ;
Leclerc, M ;
Longmire, JM ;
Shoemaker, JAW ;
Turner, H ;
Weinberg, WH .
CHEMICAL RECORD, 2002, 2 (04) :278-289
[49]   Accelerating antibody discovery and optimization with high-throughput experimentation and machine learning [J].
Ryo Matsunaga ;
Kouhei Tsumoto .
Journal of Biomedical Science, 32 (1)
[50]   Engineering serendipity: High-throughput discovery of materials that resist bacterial attachment [J].
Magennis, E. P. ;
Hook, A. L. ;
Davies, M. C. ;
Alexander, C. ;
Williams, P. ;
Alexander, M. R. .
ACTA BIOMATERIALIA, 2016, 34 :84-92