Literature DB >> 21999432

Knowledge-based scoring functions in drug design: 3. A two-dimensional knowledge-based hydrogen-bonding potential for the prediction of protein-ligand interactions.

Mingyue Zheng1, Bing Xiong, Cheng Luo, Shanshan Li, Xian Liu, Qianchen Shen, Jing Li, Weiliang Zhu, Xiaomin Luo, Hualiang Jiang.   

Abstract

Hydrogen bonding is a key contributor to the molecular recognition between ligands and their host molecules in biological systems. Here we develop a novel orientation-dependent hydrogen bonding potential based on the geometric characteristics of hydrogen bonds observed in 44,585 protein-ligand complexes. We find a close correspondence between the empirical knowledge and the energy landscape inferred from the distribution of HBs. A scoring function based on the resultant hydrogen-bonding potentials discriminates native protein-ligand structures from incorrectly docked decoys with remarkable predictive power.

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Year:  2011        PMID: 21999432     DOI: 10.1021/ci2003939

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  2 in total

1.  A knowledge-based halogen bonding scoring function for predicting protein-ligand interactions.

Authors:  Yingtao Liu; Zhijian Xu; Zhuo Yang; Kaixian Chen; Weiliang Zhu
Journal:  J Mol Model       Date:  2013-09-27       Impact factor: 1.810

2.  Virtual screening for high affinity guests for synthetic supramolecular receptors.

Authors:  William Cullen; Simon Turega; Christopher A Hunter; Michael D Ward
Journal:  Chem Sci       Date:  2015-03-10       Impact factor: 9.825

  2 in total

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