虚拟筛选
对接(动物)
假阳性悖论
支持向量机
组合化学
计算生物学
化学
药物发现
立体化学
计算机科学
生物
生物化学
机器学习
医学
护理部
作者
Jiao Chen,Yifang Liu,Mi Fang,Hui Chen,Xingzhen Lao,Xiangdong Gao,Heng Zheng,Wenbing Yao
出处
期刊:American journal of biomedical research
[Science and Education Publishing Co., Ltd.]
日期:2013-11-14
卷期号:1 (4): 120-131
被引量:4
摘要
Metallo-β-lactamases can hydrolyze a broad range of β-lactam antibiotics and no effective inhibitors could be used in the clinic. Therefore, the discovery of metallo-β-lactamase inhibitors has attracted much attention in recent years. In this study, a support vector machine (SVM) that separates compounds into positives and negatives, combined with docking method was employed for virtual screening of IMP-1 metallo-β-lactamase inhibitors. Eight of the twenty five selected compounds were purchased for in vitro assays. Among them, four compounds show inhibitory potency against IMP-1. Two of them are found to have novel scaffolds, implying a good potential for further optimization.
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