A Step toward the Quantification of Noncovalent Interactions in Large Biological Systems: The Independent Gradient Model-Extremely Localized Molecular Orbital Approach.


Journal

Journal of chemical information and modeling
ISSN: 1549-960X
Titre abrégé: J Chem Inf Model
Pays: United States
ID NLM: 101230060

Informations de publication

Date de publication:
22 02 2021
Historique:
pubmed: 15 1 2021
medline: 10 7 2021
entrez: 14 1 2021
Statut: ppublish

Résumé

The independent gradient model (IGM) is a recent electron density-based computational method that enables to detect and quantify covalent and noncovalent interactions. When applied to large systems, the original version of the technique still relies on promolecular electron densities given by the sum of spherically averaged atomic electron distributions, which leads to approximate evaluations of the inter- and intramolecular interactions occurring in systems of biological interest. To overcome this drawback and perform IGM analyses based on quantum mechanically rigorous electron densities also for macromolecular systems, we coupled the IGM approach with the recently constructed libraries of extremely localized molecular orbitals (ELMOs) that allow fast and reliable reconstructions of polypeptide and protein electron densities. The validation tests performed on small polypeptides and peptide dimers have shown that the novel IGM-ELMO strategy provides results that are systematically closer to the fully quantum mechanical ones and outperforms the IGM method based on the crude promolecular approximation, but still keeping a quite low computational cost. The results of the test calculations carried out on proteins have also confirmed the trends observed for the IGM analyses conducted on small systems. This makes us envisage the future application of the novel IGM-ELMO approach to unravel complicated noncovalent interaction networks (e.g., in protein-protein contacts) or to rationally design new drugs through molecular docking calculations and virtual high-throughput screenings.

Identifiants

pubmed: 33444021
doi: 10.1021/acs.jcim.0c01188
doi:

Substances chimiques

Macromolecular Substances 0
Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

795-809

Auteurs

Erna K Wieduwilt (EK)

Université de Lorraine & CNRS, Laboratoire de Physique et Chimie Théoriques, UMR CNRS 7019, 1 Boulevard Arago, Metz F-57078, France.

Jean-Charles Boisson (JC)

CReSTIC EA 3804, Université de Reims Champagne-Ardenne, Moulin de la Housse, Reims Cedex 02 BP39, F-51687, France.

Giancarlo Terraneo (G)

Laboratory of Supramolecular and Bio-Nanomaterials (SupraBioNanoLab), Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Via L. Mancinelli 7, Milan I-20131, Italy.

Eric Hénon (E)

Institut de Chimie Moléculaire de Reims UMR CNRS 7312, Université de Reims Champagne-Ardenne, Moulin de la Housse, Reims Cedex 02 BP39, F-51687, France.

Alessandro Genoni (A)

Université de Lorraine & CNRS, Laboratoire de Physique et Chimie Théoriques, UMR CNRS 7019, 1 Boulevard Arago, Metz F-57078, France.

Articles similaires

Databases, Protein Protein Domains Protein Folding Proteins Deep Learning
Animals Hemiptera Insect Proteins Phylogeny Insecticides
alpha-Synuclein Humans Animals Mice Lewy Body Disease
Fucosyltransferases Drug Repositioning Molecular Docking Simulation Molecular Dynamics Simulation Humans

Classifications MeSH