Literature DB >> 21842894

Protein-ligand interaction energies with dispersion corrected density functional theory and high-level wave function based methods.

Jens Antony1, Stefan Grimme, Dimitrios G Liakos, Frank Neese.   

Abstract

With dispersion-corrected density functional theory (DFT-D3) intermolecular interaction energies for a diverse set of noncovalently bound protein-ligand complexes from the Protein Data Bank are calculated. The focus is on major contacts occurring between the drug molecule and the binding site. Generalized gradient approximation (GGA), meta-GGA, and hybrid functionals are used. DFT-D3 interaction energies are benchmarked against the best available wave function based results that are provided by the estimated complete basis set (CBS) limit of the local pair natural orbital coupled-electron pair approximation (LPNO-CEPA/1) and compared to MP2 and semiempirical data. The size of the complexes and their interaction energies (ΔE(PL)) varies between 50 and 300 atoms and from -1 to -65 kcal/mol, respectively. Basis set effects are considered by applying extended sets of triple- to quadruple-ζ quality. Computed total ΔE(PL) values show a good correlation with the dispersion contribution despite the fact that the protein-ligand complexes contain many hydrogen bonds. It is concluded that an adequate, for example, asymptotically correct, treatment of dispersion interactions is necessary for the realistic modeling of protein-ligand binding. Inclusion of the dispersion correction drastically reduces the dependence of the computed interaction energies on the density functional compared to uncorrected DFT results. DFT-D3 methods provide results that are consistent with LPNO-CEPA/1 and MP2, the differences of about 1-2 kcal/mol on average (<5% of ΔE(PL)) being on the order of their accuracy, while dispersion-corrected semiempirical AM1 and PM3 approaches show a deviating behavior. The DFT-D3 results are found to depend insignificantly on the choice of the short-range damping model. We propose to use DFT-D3 as an essential ingredient in a QM/MM approach for advanced virtual screening approaches of protein-ligand interactions to be combined with similarly "first-principle" accounts for the estimation of solvation and entropic effects.

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Year:  2011        PMID: 21842894     DOI: 10.1021/jp203963f

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  7 in total

1.  Charge-dependent many-body exchange and dispersion interactions in combined QM/MM simulations.

Authors:  Erich R Kuechler; Timothy J Giese; Darrin M York
Journal:  J Chem Phys       Date:  2015-12-21       Impact factor: 3.488

2.  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

3.  The interaction mechanism between alkaloids and pepsin based on lum-AuNPs in the chemiluminescence analysis.

Authors:  Sha Liao; Meimei Zhao; Jing Luo; Kai Luo; Jingni Wu; Ruimin Liu; Shixiang Wang; Pu Jia; Yajun Bai; Xiaohui Zheng
Journal:  RSC Adv       Date:  2019-08-15       Impact factor: 4.036

4.  QM/MM Well-Tempered Metadynamics Study of the Mechanism of XBP1 mRNA Cleavage by Inositol Requiring Enzyme 1α RNase.

Authors:  Sayyed Jalil Mahdizadeh; Emil Pålsson; Antonio Carlesso; Eric Chevet; Leif A Eriksson
Journal:  J Chem Inf Model       Date:  2022-08-12       Impact factor: 6.162

5.  Current and emerging opportunities for molecular simulations in structure-based drug design.

Authors:  Julien Michel
Journal:  Phys Chem Chem Phys       Date:  2014-03-14       Impact factor: 3.676

Review 6.  Recent Progress in Treating Protein-Ligand Interactions with Quantum-Mechanical Methods.

Authors:  Nusret Duygu Yilmazer; Martin Korth
Journal:  Int J Mol Sci       Date:  2016-05-16       Impact factor: 5.923

7.  Assemble-And-Match: A Novel Hybrid Tool for Enhancing Education and Research in Rational Structure Based Drug Design.

Authors:  Pouya Tavousi; Reza Amin; Sina Shahbazmohamadi
Journal:  Sci Rep       Date:  2018-01-16       Impact factor: 4.379

  7 in total

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