ProBiS-CHARMMing: Web Interface for Prediction and Optimization of Ligands in Protein Binding Sites
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- 作者：Janez Konc ; Benjamin T. Miller ; Tanja 艩tular ; Samo Le拧nik ; H. Lee Woodcock ; Bernard R. Brooks ; Du拧anka Jane啪i膷
- 刊名：Journal of Chemical Information and Modeling
- 出版年：2015
- 出版时间：November 23, 2015
- 年：2015
- 卷：55
- 期：11
- 页码：2308-2314
- 全文大小：398K
- ISSN：1549-960X
文摘
Proteins often exist only as apo structures (unligated) in the Protein Data Bank, with their corresponding holo structures (with ligands) unavailable. However, apoproteins may not represent the amino-acid residue arrangement upon ligand binding well, which is especially problematic for molecular docking. We developed the ProBiS-CHARMMing web interface by connecting the ProBiS (http://probis.cmm.ki.si) and CHARMMing (http://www.charmming.org) web servers into one functional unit that enables prediction of protein鈥搇igand complexes and allows for their geometry optimization and interaction energy calculation. The ProBiS web server predicts ligands (small compounds, proteins, nucleic acids, and single-atom ligands) that may bind to a query protein. This is achieved by comparing its surface structure against a nonredundant database of protein structures and finding those that have binding sites similar to that of the query protein. Existing ligands found in the similar binding sites are then transposed to the query according to predictions from ProBiS. The CHARMMing web server enables, among other things, minimization and potential energy calculation for a wide variety of biomolecular systems, and it is used here to optimize the geometry of the predicted protein鈥搇igand complex structures using the CHARMM force field and to calculate their interaction energies with the corresponding query proteins. We show how ProBiS-CHARMMing can be used to predict ligands and their poses for a particular binding site, and minimize the predicted protein鈥搇igand complexes to obtain representations of holoproteins. The ProBiS-CHARMMing web interface is freely available for academic users at http://probis.nih.gov.