A Review of Current In Silico Methods for Repositioning Drugs and Chemical Compounds

Frontiers in Oncology

Pingping Bing¹  Binsheng He¹  Xiangzuo Xiao²  Changjing Ren³  Fangxing Hou⁴ 

[1] Academician Workstation, Changsha Medical University, Changsha, China;Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, China;Genies Beijing Co., Ltd., Beijing, China;Queen Mary School, Nanchang University, Jiangxi, China;School of Science, Dalian Maritime University, Dalian, China;

关键词: drug repositioning;    anti-tumor drug;    gene expression;    drug target;    gene interaction network;   

DOI  :  10.3389/fonc.2021.711225

来源: DOAJ

【 摘 要 】

Drug repositioning is a new way of applying the existing therapeutics to new disease indications. Due to the exorbitant cost and high failure rate in developing new drugs, the continued use of existing drugs for treatment, especially anti-tumor drugs, has become a widespread practice. With the assistance of high-throughput sequencing techniques, many efficient methods have been proposed and applied in drug repositioning and individualized tumor treatment. Current computational methods for repositioning drugs and chemical compounds can be divided into four categories: (i) feature-based methods, (ii) matrix decomposition-based methods, (iii) network-based methods, and (iv) reverse transcriptome-based methods. In this article, we comprehensively review the widely used methods in the above four categories. Finally, we summarize the advantages and disadvantages of these methods and indicate future directions for more sensitive computational drug repositioning methods and individualized tumor treatment, which are critical for further experimental validation.

【 授权许可】

Unknown