Literature DB >> 25296988

Toward on-the-fly quantum mechanical/molecular mechanical (QM/MM) docking: development and benchmark of a scoring function.

Prasad Chaskar1, Vincent Zoete, Ute F Röhrig.   

Abstract

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.

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Year:  2014        PMID: 25296988     DOI: 10.1021/ci5004152

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


  9 in total

1.  On the polarization of ligands by proteins.

Authors:  Soohaeng Yoo Willow; Bing Xie; Jason Lawrence; Robert S Eisenberg; David D L Minh
Journal:  Phys Chem Chem Phys       Date:  2020-06-04       Impact factor: 3.676

2.  Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization.

Authors:  Maria Kadukova; Sergei Grudinin
Journal:  J Comput Aided Mol Des       Date:  2017-09-18       Impact factor: 3.686

3.  A multiscale approach to predict the binding mode of metallo beta-lactamase inhibitors.

Authors:  Silvia Gervasoni; James Spencer; Philip Hinchliffe; Alessandro Pedretti; Franco Vairoletti; Graciela Mahler; Adrian J Mulholland
Journal:  Proteins       Date:  2021-09-20

4.  Activity prediction of substrates in NADH-dependent carbonyl reductase by docking requires catalytic constraints and charge parameterization of catalytic zinc environment.

Authors:  Gaurao V Dhoke; Christoph Loderer; Mehdi D Davari; Marion Ansorge-Schumacher; Ulrich Schwaneberg; Marco Bocola
Journal:  J Comput Aided Mol Des       Date:  2015-11-03       Impact factor: 3.686

Review 5.  Quantum mechanics implementation in drug-design workflows: does it really help?

Authors:  Olayide A Arodola; Mahmoud Es Soliman
Journal:  Drug Des Devel Ther       Date:  2017-08-31       Impact factor: 4.162

6.  Superior Performance of the SQM/COSMO Scoring Functions in Native Pose Recognition of Diverse Protein-Ligand Complexes in Cognate Docking.

Authors:  Haresh Ajani; Adam Pecina; Saltuk M Eyrilmez; Jindřich Fanfrlík; Susanta Haldar; Jan Řezáč; Pavel Hobza; Martin Lepšík
Journal:  ACS Omega       Date:  2017-07-27

7.  Developing an effective polarizable bond method for small molecules with application to optimized molecular docking.

Authors:  Guanfu Duan; Changge Ji; John Z H Zhang
Journal:  RSC Adv       Date:  2020-04-20       Impact factor: 4.036

8.  Attracting cavities for docking. Replacing the rough energy landscape of the protein by a smooth attracting landscape.

Authors:  Vincent Zoete; Thierry Schuepbach; Christophe Bovigny; Prasad Chaskar; Antoine Daina; Ute F Röhrig; Olivier Michielin
Journal:  J Comput Chem       Date:  2015-11-12       Impact factor: 3.376

Review 9.  Quantum Chemical Approaches in Structure-Based Virtual Screening and Lead Optimization.

Authors:  Claudio N Cavasotto; Natalia S Adler; Maria G Aucar
Journal:  Front Chem       Date:  2018-05-29       Impact factor: 5.221

  9 in total

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