生物信息学
临床试验
药品
医学
药物开发
重症监护医学
选择(遗传算法)
药理学
医学物理学
生物信息学
内科学
计算机科学
生物
机器学习
生物化学
基因
作者
Feng Zhu,Xiao Xu Li,Sheng Yang,Yu Chen
标识
DOI:10.1016/j.tips.2017.12.002
摘要
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. 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.
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