Toward on-the-fly quantum mechanical/molecular mechanical (QM/MM) docking: development and benchmark of a scoring function.
Data(s) |
2014
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Resumo |
We address the challenges of treating polarization and covalent interactions in docking by developing a hybrid quantum mechanical/molecular mechanical (QM/MM) scoring function based on the semiempirical self-consistent charge density functional tight-binding (SCC-DFTB) method and the CHARMM force field. To benchmark this scoring function within the EADock DSS docking algorithm, we created a publicly available dataset of high-quality X-ray structures of zinc metalloproteins ( http://www.molecular-modelling.ch/resources.php ). For zinc-bound ligands (226 complexes), the QM/MM scoring yielded a substantially improved success rate compared to the classical scoring function (77.0% vs 61.5%), while, for allosteric ligands (55 complexes), the success rate remained constant (49.1%). The QM/MM scoring significantly improved the detection of correct zinc-binding geometries and improved the docking success rate by more than 20% for several important drug targets. The performance of both the classical and the QM/MM scoring functions compare favorably to the performance of AutoDock4, AutoDock4Zn, and AutoDock Vina. |
Identificador |
http://serval.unil.ch/?id=serval:BIB_3961D6B1CBE2 isbn:1549-960X (Electronic) pmid:25296988 doi:10.1021/ci5004152 isiid:000345551000011 |
Idioma(s) |
en |
Fonte |
Journal of Chemical Information and Modeling, vol. 54, no. 11, pp. 3137-3152 |
Palavras-Chave | #ADAM Proteins/chemistry; ADAM Proteins/metabolism; Algorithms; Benchmarking; Carbonic Anhydrases/chemistry; Carbonic Anhydrases/metabolism; Drug Design; Metalloproteins/chemistry; Metalloproteins/metabolism; Molecular Docking Simulation; Protein Conformation; Quantum Theory; Thermodynamics; Zinc/metabolism |
Tipo |
info:eu-repo/semantics/article article |