Understanding and modelling the interactions of peptides with membranes: from partitioning to self-assembly.


Journal

Current opinion in structural biology
ISSN: 1879-033X
Titre abrégé: Curr Opin Struct Biol
Pays: England
ID NLM: 9107784

Informations de publication

Date de publication:
04 2020
Historique:
received: 18 10 2019
revised: 27 12 2019
accepted: 28 12 2019
pubmed: 2 2 2020
medline: 8 6 2021
entrez: 2 2 2020
Statut: ppublish

Résumé

Atomic detail simulations are starting to reveal how flexible polypeptides interact with fluid lipid bilayers. These insights are transforming our understanding of one of the fundamental processes in biology: membrane protein folding and assembly. Advanced molecular dynamics (MD) simulation techniques enable accurate prediction of protein structure, folding pathways and assembly in microsecond-timescales. Such simulations show how membrane-active peptides self-assemble in cell membranes, revealing their binding, folding, insertion, and aggregation, while at the same time providing atomic resolution details of peptide-lipid interactions. Essential to the impact of simulations are experimental approaches that enable calibration and validation of the computational models and techniques. In this review, we summarize the current development of applying unbiased atomic detail MD simulations and the relation to experimental techniques, to study peptide folding and provide our perspective of the field.

Identifiants

pubmed: 32006812
pii: S0959-440X(19)30160-5
doi: 10.1016/j.sbi.2019.12.021
pii:
doi:

Substances chimiques

Amyloid 0
Ion Channels 0
Peptides 0
Solutions 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

160-166

Informations de copyright

Copyright © 2019. Published by Elsevier Ltd.

Auteurs

Charles H Chen (CH)

Department of Chemistry, King's College London, London, UK.

Marcelo Cr Melo (MC)

Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, Penn Institute for Computational Science, and Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Nils Berglund (N)

Department of Chemistry, Aarhus University, Aarhus, Denmark.

Ayesha Khan (A)

College of Medicine and Health, University of Exeter, Exeter, UK.

Cesar de la Fuente-Nunez (C)

Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, Penn Institute for Computational Science, and Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA. Electronic address: cfuente@pennmedicine.upenn.edu.

Jakob P Ulmschneider (JP)

Institute of Natural Sciences and School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China. Electronic address: jakob@sjtu.edu.cn.

Martin B Ulmschneider (MB)

Department of Chemistry, King's College London, London, UK. Electronic address: martin.ulmschneider@kcl.ac.uk.

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Classifications MeSH