Computational drug repositioning for cancer therapeutics.
Due to ever-increasing failure rates, high cost, unsatisfactory safety profile, and limited efficacy associated with anticancer drug development, the repositioning of established non-cancer drugs for new oncology indications has emerged as an increasingly attractive approach to addressing the unmet cancer-related medical need. With the rapid development of bioinformatics, chemoinformatics as well as high-performance computing, drug repositioning is becoming more intentional than ever, and a significant surge of computational approaches has been well established to greatly facilitate drug repositioning for cancer treatment. In this review, we provide a brief overview of recent advances in the computational drug repositioning for anticancer applications with a specific emphasis on repositioning of non-cancer drugs by use of various computational approaches.
Mingkun
M
Jiao
Gang
G
Liu
Yu
Y
Xue
Shanghai Institute of Materia Medica (SIMM), 555 Zu Chong Zhi Road, Zhangjiang Hi-tech Park, Pudong, Shanghai, China 201203. chding@simm.ac.cn.
Chunyong
C
Ding
D000970:Antineoplastic Agents / Q000737:chemistry / Q000494:pharmacology*; D019295:Computational Biology; D055808:Drug Discovery / Q000379:methods*; D058492:Drug Repositioning; D006801:Humans; D058990:Molecular Targeted Therapy
D000970:Antineoplastic Agents