Improving protein-ligand docking with flexible interfacial water molecules using SWRosettaLigand

Verfasser / Beitragende:
[Linqing Li, Weiwei Xu, Qiang Lü]
Ort, Verlag, Jahr:
2015
Enthalten in:
Journal of Molecular Modeling, 21/11(2015-11-01), 1-13
Format:
Artikel (online)
ID: 605513775
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024 7 0 |a 10.1007/s00894-015-2834-7  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00894-015-2834-7 
245 0 0 |a Improving protein-ligand docking with flexible interfacial water molecules using SWRosettaLigand  |h [Elektronische Daten]  |c [Linqing Li, Weiwei Xu, Qiang Lü] 
520 3 |a Computational protein-ligand docking is of great importance in drug discovery and design. Conformational changes greatly affect the results of protein-ligand docking, especially when water molecules take part in mediating protein ligand interactions or when large conformational changes are observed in the receptor backbone interface. We have developed an improved protocol, SWRosettaLigand, based on the RosettaLigand protocol. This approach incorporates the flexibility of interfacial water molecules and modeling of the interface of the receptor into the original RosettaLigand. In a coarse sampling step, SWRosettaLigand pre-optimizes the initial position of the water molecules, docks the ligand to the receptor with explicit water molecules, and minimizes the predicted structure with water molecules. The receptor backbone interface is treated as a loop and perturbed and refined by kinematic closure, or cyclic coordinate descent algorithm, with the presence of the ligand. In two cross-docking test sets, it was identified that for 8 out of 14, and 16 out of 22, test instances, the top-ranked structures by SWRosettaLigand achieved better accuracy than other protocols. 
540 |a Springer-Verlag Berlin Heidelberg, 2015 
690 7 |a Protein-ligand docking  |2 nationallicence 
690 7 |a Flexible water molecules  |2 nationallicence 
690 7 |a Flexible receptor backbone interface  |2 nationallicence 
690 7 |a MD simulations  |2 nationallicence 
700 1 |a Li  |D Linqing  |u School of Computer Science and Technology, Soochow University, P.O.Box 158, 1 Shizi Street, 215006, Suzhou, Jiangsu, China  |4 aut 
700 1 |a Xu  |D Weiwei  |u Wujiang Rural Commercial Bank, 215006, Suzhou, Jiangsu, China  |4 aut 
700 1 |a Lü  |D Qiang  |u School of Computer Science and Technology, Soochow University, P.O.Box 158, 1 Shizi Street, 215006, Suzhou, Jiangsu, China  |4 aut 
773 0 |t Journal of Molecular Modeling  |d Springer Berlin Heidelberg  |g 21/11(2015-11-01), 1-13  |x 1610-2940  |q 21:11<1  |1 2015  |2 21  |o 894 
856 4 0 |u https://doi.org/10.1007/s00894-015-2834-7  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00894-015-2834-7  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Li  |D Linqing  |u School of Computer Science and Technology, Soochow University, P.O.Box 158, 1 Shizi Street, 215006, Suzhou, Jiangsu, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Xu  |D Weiwei  |u Wujiang Rural Commercial Bank, 215006, Suzhou, Jiangsu, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Lü  |D Qiang  |u School of Computer Science and Technology, Soochow University, P.O.Box 158, 1 Shizi Street, 215006, Suzhou, Jiangsu, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Journal of Molecular Modeling  |d Springer Berlin Heidelberg  |g 21/11(2015-11-01), 1-13  |x 1610-2940  |q 21:11<1  |1 2015  |2 21  |o 894