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Ren, J.X., Li, L.L., Zheng, R.L., Xie, H.Z., Cao, Z.X., Feng, S., Pan, Y.L., Chen, X., Wei, Y.Q., Yang, S.Y. “Discovery of novel Pim-1 kinase inhibitors by a hierarchical multistage virtual screening approach based on SVM model, pharmacophore, and molecular docking.” J Chem Inf Model, 51(6). 1364-1375. Jun. 2011.

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Article

Combined Support-Vector-Machine-Based Virtual Screening and Docking Method for the Discovery of IMP-1 Metallo-β-Lactamase Inhibitors Supplementary Data

1School of Life Science and Technology, China Pharmaceutical University, Nanjing, P.R. China


American Journal of Biomedical Research. 2013, Vol. 1 No. 4, 120-131
DOI: 10.12691/ajbr-1-4-8
Copyright © 2013 Science and Education Publishing

Cite this paper:
Jiao Chen, Yifang Liu, Mi Fang, Hui Chen, Xingzhen Lao, Xiangdong Gao, Heng Zheng, Wenbing Yao. Combined Support-Vector-Machine-Based Virtual Screening and Docking Method for the Discovery of IMP-1 Metallo-β-Lactamase Inhibitors Supplementary Data. American Journal of Biomedical Research. 2013; 1(4):120-131. doi: 10.12691/ajbr-1-4-8.

Correspondence to: Heng  Zheng, School of Life Science and Technology, China Pharmaceutical University, Nanjing, P.R. China. Email: zhengh18@hotmail.com

Abstract

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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