On the need to introduce environmental characteristics in ab initio protein structure prediction using a coarse-grained UNRES force field.

Hydrophobic core Misfolding in prediction Protein folding Protein structure prediction Water environment

Journal

Journal of molecular graphics & modelling
ISSN: 1873-4243
Titre abrégé: J Mol Graph Model
Pays: United States
ID NLM: 9716237

Informations de publication

Date de publication:
07 2022
Historique:
received: 02 08 2021
revised: 09 02 2022
accepted: 10 03 2022
pubmed: 25 3 2022
medline: 25 5 2022
entrez: 24 3 2022
Statut: ppublish

Résumé

During the protein folding process in computer simulations involving the use of a United RESidue (UNRES) force field, an additional module was introduced to represent directly the presence of a polar solvent in water form. This module implements the fuzzy oil drop model (FOD) where the 3D Gauss function expresses the presence of a polar environment which directs the polypeptide chain folding process towards the generation of a centric hydrophobic core. Sample test polypeptide chains of 8 proteins with chain lengths ranging from 37 to 75 aa were simulated in silico using the UNRES (U) package with an implicit solvent model and a built-in module expressing the FOD model (UNRES-FOD-UNRES (U + F) interleaved simulation). The protein structure obtained by both *** simulation schemes, i.e., accordingly***U and U + F, for all the analyzed protein models shows the presence of a hydrophobic core including where it is absent in the native structure. The proposed FOD-M model (M-modified) explaining the source of this phenomenon reveals the need to modify the external field expressing the role of a folding environment. The modification takes into account the influence of other than polar factors present in the folding environment.

Identifiants

pubmed: 35325843
pii: S1093-3263(22)00045-6
doi: 10.1016/j.jmgm.2022.108166
pii:
doi:

Substances chimiques

Peptides 0
Proteins 0
Solvents 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

108166

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Irena Roterman (I)

Department of Bioinformatics and Telemedicine, Jagiellonian University - Medical College Medyczna 7, 30-688, Kraków, Poland. Electronic address: myroterm@cyf-kr.edu.pl.

Adam Sieradzan (A)

Faculty of Chemistry, Gdansk University, Wita Stwosza 63, 80-308, Gdańsk, Poland. Electronic address: adam.sieradzan@ug.edu.pl.

Katarzyna Stapor (K)

Faculty of Automatic, Electronics and Computer Science, Department of Applied Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland. Electronic address: katarzyna.stapor@polsl.pl.

Piotr Fabian (P)

Faculty of Automatic, Electronics and Computer Science, Department of Algorithmics and Software, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland. Electronic address: piotr.fabian@polsl.pl.

Patryk Wesołowski (P)

Faculty of Chemistry, Gdansk University, Wita Stwosza 63, 80-308, Gdańsk, Poland; Intercollegiate Faculty of Biotechnology, University of Gdańsk and Medical University of Gdańsk, ul. Abrahama 58, 80-307, Gdańsk, Poland.

Leszek Konieczny (L)

Chair of Medical Biochemistry - Jagiellonian University - Medical College, Kopernika 7, 31-034, Kraków, Poland. Electronic address: mbkoniec@cyf-kr.edu.pl.

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Classifications MeSH