Molecular Dynamics Simulation as a Tool to Identify Mutual Synergistic Folding Proteins

Mutual synergistic folding (MSF) proteins belong to a recently emerged subclass of disordered proteins, which are disordered in their monomeric forms but become ordered in their oligomeric forms. They can be identified by experimental methods following their unfolding, which happens in a single-step...

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Main Authors: Csaba Magyar, Bálint Zoltán Németh, Miklós Cserző, István Simon
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/24/2/1790
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author Csaba Magyar
Bálint Zoltán Németh
Miklós Cserző
István Simon
author_facet Csaba Magyar
Bálint Zoltán Németh
Miklós Cserző
István Simon
author_sort Csaba Magyar
collection DOAJ
description Mutual synergistic folding (MSF) proteins belong to a recently emerged subclass of disordered proteins, which are disordered in their monomeric forms but become ordered in their oligomeric forms. They can be identified by experimental methods following their unfolding, which happens in a single-step cooperative process, without the presence of stable monomeric intermediates. Only a limited number of experimentally validated MSF proteins are accessible. The amino acid composition of MSF proteins shows high similarity to globular ordered proteins, rather than to disordered ones. However, they have some special structural features, which makes it possible to distinguish them from globular proteins. Even in the possession of their oligomeric three-dimensional structure, classification can only be performed based on unfolding experiments, which are frequently absent. In this work, we demonstrate a simple protocol using molecular dynamics simulations, which is able to indicate that a protein structure belongs to the MSF subclass. The presumption of the known atomic resolution quaternary structure is an obvious limitation of the method, and because of its high computational time requirements, it is not suitable for screening large databases; still, it is a valuable in silico tool for identification of MSF proteins.
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spelling doaj.art-2277943ed4154c4fa84fff21d969f89d2023-11-30T22:45:39ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-01-01242179010.3390/ijms24021790Molecular Dynamics Simulation as a Tool to Identify Mutual Synergistic Folding ProteinsCsaba Magyar0Bálint Zoltán Németh1Miklós Cserző2István Simon3Institute of Enzymology, Research Centre for Natural Sciences, Eötvös Loránd Research Network, 1117 Budapest, HungaryInstitute of Enzymology, Research Centre for Natural Sciences, Eötvös Loránd Research Network, 1117 Budapest, HungaryInstitute of Enzymology, Research Centre for Natural Sciences, Eötvös Loránd Research Network, 1117 Budapest, HungaryInstitute of Enzymology, Research Centre for Natural Sciences, Eötvös Loránd Research Network, 1117 Budapest, HungaryMutual synergistic folding (MSF) proteins belong to a recently emerged subclass of disordered proteins, which are disordered in their monomeric forms but become ordered in their oligomeric forms. They can be identified by experimental methods following their unfolding, which happens in a single-step cooperative process, without the presence of stable monomeric intermediates. Only a limited number of experimentally validated MSF proteins are accessible. The amino acid composition of MSF proteins shows high similarity to globular ordered proteins, rather than to disordered ones. However, they have some special structural features, which makes it possible to distinguish them from globular proteins. Even in the possession of their oligomeric three-dimensional structure, classification can only be performed based on unfolding experiments, which are frequently absent. In this work, we demonstrate a simple protocol using molecular dynamics simulations, which is able to indicate that a protein structure belongs to the MSF subclass. The presumption of the known atomic resolution quaternary structure is an obvious limitation of the method, and because of its high computational time requirements, it is not suitable for screening large databases; still, it is a valuable in silico tool for identification of MSF proteins.https://www.mdpi.com/1422-0067/24/2/1790mutual synergistic foldingdisordered proteinsoligomeric proteinsmolecular dynamics simulationscooperative two-state unfolding
spellingShingle Csaba Magyar
Bálint Zoltán Németh
Miklós Cserző
István Simon
Molecular Dynamics Simulation as a Tool to Identify Mutual Synergistic Folding Proteins
International Journal of Molecular Sciences
mutual synergistic folding
disordered proteins
oligomeric proteins
molecular dynamics simulations
cooperative two-state unfolding
title Molecular Dynamics Simulation as a Tool to Identify Mutual Synergistic Folding Proteins
title_full Molecular Dynamics Simulation as a Tool to Identify Mutual Synergistic Folding Proteins
title_fullStr Molecular Dynamics Simulation as a Tool to Identify Mutual Synergistic Folding Proteins
title_full_unstemmed Molecular Dynamics Simulation as a Tool to Identify Mutual Synergistic Folding Proteins
title_short Molecular Dynamics Simulation as a Tool to Identify Mutual Synergistic Folding Proteins
title_sort molecular dynamics simulation as a tool to identify mutual synergistic folding proteins
topic mutual synergistic folding
disordered proteins
oligomeric proteins
molecular dynamics simulations
cooperative two-state unfolding
url https://www.mdpi.com/1422-0067/24/2/1790
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