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
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
108166Informations de copyright
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.