A Review of Drug Repositioning Based Chemical-induced Cell Line Expression Data-Reference-Cited by-同舟云学术

A Review of Drug Repositioning Based Chemical-induced Cell Line Expression Data

Published:2020-09-25 Issue:32 Volume:27 Page:5340-5350
ISSN:0929-8673
Container-title:Current Medicinal Chemistry
language:en
Short-container-title:CMC

Author:

Wang Fei¹,Lei Xiujuan²,Wu Fang-Xiang²

Affiliation:

1. Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, Canada

2. School of Computer Science, Shaanxi Normal University, Xi’an, Shaanxi, China

Abstract

Drug repositioning is an important area of biomedical research. The drug repositioning studies have shifted to computational approaches. Large-scale perturbation databases, such as the Connectivity Map and the Library of Integrated Network-Based Cellular Signatures, contain a number of chemical-induced gene expression profiles and provide great opportunities for computational biology and drug repositioning. One reason is that the profiles provided by the Connectivity Map and the Library of Integrated Network-Based Cellular Signatures databases show an overall view of biological mechanism in drugs, diseases and genes. In this article, we provide a review of the two databases and their recent applications in drug repositioning.

Funder

National Natural Science Foundation of China

Publisher

Bentham Science Publishers Ltd.

Subject

Pharmacology,Molecular Medicine,Drug Discovery,Biochemistry,Organic Chemistry

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