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Trends Pharmacol Sci. 2018 Mar;39(3):229-231. doi: 10.1016/j.tips.2017.12.002. Epub 2017 Dec 30.

Clinical Success of Drug Targets Prospectively Predicted by In Silico Study.

Author information

1
Innovative Drug Research and Bioinformatics Group, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; Innovative Drug Research and Bioinformatics Group, School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China; State Key Laboratory Breeding Base-Shenzhen Key Laboratory of Chemical Biology, Graduate School at Shenzhen, Tsinghua University, Shenzhen Kivita Innovative Drug Discovery Institute, Shenzhen 518055, China. Electronic address: zhufeng@zju.edu.cn.
2
Innovative Drug Research and Bioinformatics Group, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; Innovative Drug Research and Bioinformatics Group, School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China.
3
State Key Laboratory of Biotherapy, Sichuan University, Chengdu 610000, China.
4
Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore 117543, Singapore. Electronic address: phacyz@nus.edu.sg.

Abstract

The selection of the right drug targets is critically important for the successful and cost-effective development and clinical testing of drugs. A 2009 paper reported an in silico prospective prediction of the clinical potential of 156 targets of clinical trial drugs (all of these targets were without an approved drug at the time of the paper's publication). Eight years later, the assessment of the clinical status of these targets revealed impressive capability of the in silico method in prospectively predicting the clinical success of drug targets.

KEYWORDS:

clinical trial; in silico methods; target discovery

PMID:
29295742
DOI:
10.1016/j.tips.2017.12.002
[Indexed for MEDLINE]

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