Literature DB >> 24449043

Multipolar electrostatics for proteins: atom-atom electrostatic energies in crambin.

Yongna Yuan1, Matthew J L Mills, Paul L A Popelier.   

Abstract

Accurate electrostatics necessitates the use of multipole moments centered on nuclei or extra point charges centered away from the nuclei. Here, we follow the former alternative and investigate the convergence behavior of atom-atom electrostatic interactions in the pilot protein crambin. Amino acids are cut out from a Protein Data Bank structure of crambin, as single amino acids, di, or tripeptides, and are then capped with a peptide bond at each side. The atoms in the amino acids are defined through Quantum Chemical Topology (QCT) as finite volume electron density fragments. Atom-atom electrostatic energies are computed by means of a multipole expansion with regular spherical harmonics, up to a total interaction rank of L = ℓA+ ℓB + 1 = 10. The minimum internuclear distance in the convergent region of all the 15 possible types of atom-atom interactions in crambin that were calculated based on single amino acids are close to the values calculated from di and tripeptides. Values obtained at B3LYP/aug-cc-pVTZ and MP2/aug-cc-pVTZ levels are only slightly larger than those calculated at HF/6-31G(d,p) level. This convergence behavior is transferable to the well-known amyloid beta polypeptide Aβ1-42. Moreover, for a selected central atom, the influence of its neighbors on its multipole moments is investigated, and how far away this influence can be ignored is also determined. Finally, the convergence behavior of AMBER becomes closer to that of QCT with increasing internuclear distance.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  quantum chemical topology • force field • electrostatics • protein • amino acids • peptides • level of theory • ab initio • Multipole Moments • convergence • crambin • Aβ1-42

Mesh:

Substances:

Year:  2013        PMID: 24449043     DOI: 10.1002/jcc.23469

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  8 in total

1.  Multipolar electrostatics based on the Kriging machine learning method: an application to serine.

Authors:  Yongna Yuan; Matthew J L Mills; Paul L A Popelier
Journal:  J Mol Model       Date:  2014-03-16       Impact factor: 1.810

2.  pH Dependence of Charge Multipole Moments in Proteins.

Authors:  Anže Lošdorfer Božič; Rudolf Podgornik
Journal:  Biophys J       Date:  2017-10-03       Impact factor: 4.033

3.  Non-covalent interactions from a Quantum Chemical Topology perspective.

Authors:  Paul L A Popelier
Journal:  J Mol Model       Date:  2022-08-25       Impact factor: 2.172

4.  High-resolution crystal structures of protein helices reconciled with three-centered hydrogen bonds and multipole electrostatics.

Authors:  Daniel J Kuster; Chengyu Liu; Zheng Fang; Jay W Ponder; Garland R Marshall
Journal:  PLoS One       Date:  2015-04-20       Impact factor: 3.240

5.  Toward amino acid typing for proteins in FFLUX.

Authors:  Timothy L Fletcher; Paul L A Popelier
Journal:  J Comput Chem       Date:  2016-12-19       Impact factor: 3.376

6.  Application of Quantum Chemical Topology Force Field FFLUX to Condensed Matter Simulations: Liquid Water.

Authors:  Benjamin C B Symons; Paul L A Popelier
Journal:  J Chem Theory Comput       Date:  2022-08-08       Impact factor: 6.578

7.  Prediction of conformationally dependent atomic multipole moments in carbohydrates.

Authors:  Salvatore Cardamone; Paul L A Popelier
Journal:  J Comput Chem       Date:  2015-11-08       Impact factor: 3.376

8.  A Quantum Chemical Topology Picture of Intermolecular Electrostatic Interactions and Charge Penetration Energy.

Authors:  Fernando Jiménez-Grávalos; Dimas Suárez
Journal:  J Chem Theory Comput       Date:  2021-07-19       Impact factor: 6.006

  8 in total

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