Jiao Mingkun, Liu Gang, Xue Yu, Ding Chunyong
Shanghai Institute of Materia Medica (SIMM), 555 Zu Chong Zhi Road, Zhangjiang Hi-tech Park, Pudong, Shanghai, China 201203.
Curr Top Med Chem. 2015;15(8):767-75. doi: 10.2174/1568026615666150302105831.
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.
由于抗癌药物研发的失败率不断上升、成本高昂、安全性不尽人意以及疗效有限，将已有的非癌症药物重新定位用于新的肿瘤适应症，已成为满足未被满足的癌症相关医疗需求的一种越来越有吸引力的方法。随着生物信息学、化学信息学以及高性能计算的迅速发展，药物重新定位比以往任何时候都更具针对性，并且已经建立了大量的计算方法来极大地促进用于癌症治疗的药物重新定位。在本综述中，我们简要概述了用于抗癌应用的计算药物重新定位的最新进展，特别强调了通过使用各种计算方法对非癌症药物进行重新定位。
