» Articles » PMID: 26596614

Assessment of Atomic Charge Models for Gas-Phase Computations on Polypeptides

Overview
Specialties Biochemistry
Chemistry
Date 2015 Nov 25
PMID 26596614
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

The concept of the atomic charge is extensively used to model the electrostatic properties of proteins. Atomic charges are not only the basis for the electrostatic energy term in biomolecular force fields but are also derived from quantum mechanical computations on protein fragments to get more insight into their electronic structure. Unfortunately there are many atomic charge schemes which lead to significantly different results, and it is not trivial to determine which scheme is most suitable for biomolecular studies. Therefore, we present an extensive methodological benchmark using a selection of atomic charge schemes [Mulliken, natural, restrained electrostatic potential, Hirshfeld-I, electronegativity equalization method (EEM), and split-charge equilibration (SQE)] applied to two sets of penta-alanine conformers. Our analysis clearly shows that Hirshfeld-I charges offer the best compromise between transferability (robustness with respect to conformational changes) and the ability to reproduce electrostatic properties of the penta-alanine. The benchmark also considers two charge equilibration models (EEM and SQE), which both clearly fail to describe the locally charged moieties in the zwitterionic form of penta-alanine. This issue is analyzed in detail because charge equilibration models are computationally much more attractive than the Hirshfeld-I scheme. Based on the latter analysis, a straightforward extension of the SQE model is proposed, SQE+Q(0), that is suitable to describe biological systems bearing many locally charged functional groups.

Citing Articles

Machine Learning Interatomic Potentials and Long-Range Physics.

Anstine D, Isayev O J Phys Chem A. 2023; 127(11):2417-2431.

PMID: 36802360 PMC: 10041642. DOI: 10.1021/acs.jpca.2c06778.


Seven confluence principles: a case study of standardized statistical analysis for 26 methods that assign net atomic charges in molecules.

Manz T RSC Adv. 2022; 10(72):44121-44148.

PMID: 35517149 PMC: 9058476. DOI: 10.1039/d0ra06392d.


Development and Validation of the Quantum Mechanical Bespoke Protein Force Field.

Allen A, Robertson M, Payne M, Cole D ACS Omega. 2019; 4(11):14537-14550.

PMID: 31528808 PMC: 6740169. DOI: 10.1021/acsomega.9b01769.


Hydration Free Energies in the FreeSolv Database Calculated with Polarized Iterative Hirshfeld Charges.

Riquelme M, Lara A, Mobley D, Verstraelen T, Matamala A, Vohringer-Martinez E J Chem Inf Model. 2018; 58(9):1779-1797.

PMID: 30125107 PMC: 6195221. DOI: 10.1021/acs.jcim.8b00180.


Fractional nuclear charge approach to isolated anion densities for Hirshfeld partitioning methods.

Heidar-Zadeh F, Ayers P, Bultinck P J Mol Model. 2017; 23(12):348.

PMID: 29164339 DOI: 10.1007/s00894-017-3514-6.