Literature DB >> 26609607

Representative Amino Acid Side Chain Interactions in Proteins. A Comparison of Highly Accurate Correlated ab Initio Quantum Chemical and Empirical Potential Procedures.

Karel Berka1, Roman Laskowski1, Kevin E Riley1, Pavel Hobza1, Jiří Vondrášek1.   

Abstract

Interactions between amino acid side chains play a crucial role both within a folded protein and between the interacting protein molecules. Here we have selected a representative set of 24 of the 400 (20 × 20) possible interacting side chain pairs based on data from Atlas of Protein Side-Chain Interactions. For each pair, we obtained its most favorable interaction geometry from the structural data and computed the interaction energy in the gas phase using several different, commonly used, ab initio and force field methods, namely Møller-Plesset perturbation theory (MP2), density functional theory combined with symmetry-adapted perturbation theory (DFT-SAPT), density functional theory empirically augmented with an empirical dispersion term (DFT-D), and empirical potentials using the OPLS-AA/L and Amber03 force fields. All the methods were compared against a reference method taken to be the CCSD(T) level of theory extrapolated to the complete basis set limit. We found a high degree of agreement between the different methods, even though the range of binding energies obtained was extremely large. The most computationally intensive methods yielded the best results. Among the less computationally time-consuming methods, the DFT-D method as well as parm03 force field provided consistently good results when compared to the reference values. We also tested how representative the chosen geometries of the side chains were and investigated the effect on the binding energies of the dielectric constant of the surrounding medium.

Entities:  

Year:  2009        PMID: 26609607     DOI: 10.1021/ct800508v

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  18 in total

1.  Prediction of SAMPL3 host-guest binding affinities: evaluating the accuracy of generalized force-fields.

Authors:  Hari S Muddana; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2012-01-25       Impact factor: 3.686

2.  An ab initio study on the concerted interaction between chalcogen and pnicogen bonds.

Authors:  Bahman Mohammadian Asiabar; Mehdi D Esrafili; Fariba Mohammadian-Sabet; Hamid Reza Sobhi; Majid Javaheri
Journal:  J Mol Model       Date:  2014-12-11       Impact factor: 1.810

3.  Does single-electron chalcogen bond exist? Some theoretical insights.

Authors:  Mehdi D Esrafili; Fariba Mohammadian-Sabet
Journal:  J Mol Model       Date:  2015-03-03       Impact factor: 1.810

4.  Blind prediction of host-guest binding affinities: a new SAMPL3 challenge.

Authors:  Hari S Muddana; C Daniel Varnado; Christopher W Bielawski; Adam R Urbach; Lyle Isaacs; Matthew T Geballe; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2012-02-25       Impact factor: 3.686

5.  A computational model for protein ionization by electrospray based on gas-phase basicity.

Authors:  Roberto Marchese; Rita Grandori; Paolo Carloni; Simone Raugei
Journal:  J Am Soc Mass Spectrom       Date:  2012-09-20       Impact factor: 3.109

6.  Theoretical study on cooperative effects between X⋯N and X⋯Carbene halogen bonds (X = F,Cl,Br and I).

Authors:  Mehdi D Esrafili; Fariba Mohammdain-Sabet; Parvin Esmailpour
Journal:  J Mol Model       Date:  2013-09-08       Impact factor: 1.810

7.  Rovibrational energy and spectroscopic constant calculations of CH4⋯CH4, CH4⋯H2O, CH4⋯CHF3, and H2O⋯CHF3 dimers.

Authors:  Wiliam F Cunha; Ricardo Gargano; Edgardo Garcia; José R S Politi; Alessandra F Albernaz; João B L Martins
Journal:  J Mol Model       Date:  2014-06-18       Impact factor: 1.810

8.  Automation of AMOEBA polarizable force field parameterization for small molecules.

Authors:  Johnny C Wu; Gaurav Chattree; Pengyu Ren
Journal:  Theor Chem Acc       Date:  2012-02-26       Impact factor: 1.702

9.  On the zwitterionic nature of gas-phase peptides and protein ions.

Authors:  Roberto Marchese; Rita Grandori; Paolo Carloni; Simone Raugei
Journal:  PLoS Comput Biol       Date:  2010-05-06       Impact factor: 4.475

10.  The influence of protein dynamics on the success of computational enzyme design.

Authors:  Jory Z Ruscio; Jonathan E Kohn; K Aurelia Ball; Teresa Head-Gordon
Journal:  J Am Chem Soc       Date:  2009-10-07       Impact factor: 15.419

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