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

收藏

页码：82 / 89

页数：8

相关论文

共 50 条

[31] High-throughput computational materials screening and discovery of optoelectronic semiconductors [J].

Luo, Shulin ;

Li, Tianshu ;

Wang, Xinjiang ;

Faizan, Muhammad ;

Zhang, Lijun .

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE, 2021, 11 (01)

[32] High-Throughput Platform for the Discovery of Novel Structural Neuroplasticity Modulators [J].

Kumari, Pushpa ;

Dumrongprechachan, Vasin ;

Kozorovitskiy, Yevgenia .

NEUROPSYCHOPHARMACOLOGY, 2022, 47 :256-256

[33] High-throughput computations and machine learning for halide perovskite discovery [J].

Yang, Jiaqi ;

Mannodi-Kanakkithodi, Arun .

MRS BULLETIN, 2022, 47 (09) :940-948

[34] High-throughput computations and machine learning for halide perovskite discovery [J].

Jiaqi Yang ;

Arun Mannodi-Kanakkithodi .

MRS Bulletin, 2022, 47 :940-948

[35] A Microchip for High-Throughput Axon Growth Drug Screening [J].

Kim, Hyun Soo ;

Jeong, Sehoon ;

Koo, Chiwan ;

Han, Arum ;

Park, Jaewon .

MICROMACHINES, 2016, 7 (07)

[36] High-throughput mechanistic screening of non-equilibrium inhibitors by a fully automated data analysis pipeline in early drug-discovery [J].

Srinivasan, Bharath ;

Weidinger, Juan Daniel Florez ;

Zhai, Xiang ;

Lemercier, Guillaume ;

Ikeda, Timothy ;

Brewer, Mark ;

Zhang, Bairu ;

Heyse, Stephan ;

Wingfield, Jonathan ;

Steigele, Stephan .

SLAS DISCOVERY, 2022, 27 (08) :460-470

[37] High throughput solubility measurement in drug discovery and development [J].

Alsenz, Jochem ;

Kansy, Manfred .

ADVANCED DRUG DELIVERY REVIEWS, 2007, 59 (07) :546-567

[38] High Throughput Screening in Drug Discovery: Problems and Solutions [J].

Hushpulian, D. M. ;

Gaisina, I. N. ;

Nikulin, S. V. ;

Chubar, T. A. ;

Savin, S. S. ;

Gazaryan, I. G. ;

Tishkov, V. I. .

MOSCOW UNIVERSITY CHEMISTRY BULLETIN, 2024, 79 (02) :93-104

[39] Discovery of high energy and stable prismane derivatives by the high-throughput computation and machine learning combined strategy [J].

Guo, Shitai ;

Huang, Jing ;

Qian, Wen ;

Liu, Jian ;

Zhu, Weihua ;

Zhang, Chaoyang .

FIREPHYSCHEM, 2024, 4 (01) :55-62

[40] Optically encoded microspheres for high-throughput analysis of genes and proteins [J].

Gao, XH ;

Han, MY ;

Nie, SM .

BIOMEDICAL NANOTECHNOLOGY ARCHITECTURES AND APPLICATIONS, 2002, 4626 :210-217

← 1 2 3 4 5 →