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Computational Drug Repositioning for Cancer Therapeutics

[ Vol. 15 , Issue. 8 ]

Author(s):

Mingkun Jiao, Gang Liu, Yu Xue and Chunyong Ding   Pages 767 - 775 ( 9 )

Abstract:


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.

Keywords:

Anticancer drugs, Cancer therapeutics, Computational drug repositioning, Drug discovery, Drug repositioning, Drug repurposing.

Affiliation:

Shanghai Institute of Materia Medica (SIMM), 555 Zu Chong Zhi Road, Zhangjiang Hi-tech Park, Pudong, Shanghai, China 201203.

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