Quest for new generation biocompatible materials: tailoring β-peptide structure and interactions via synergy of experiments and modelling.


Journal

Journal of molecular biology
ISSN: 1089-8638
Titre abrégé: J Mol Biol
Pays: Netherlands
ID NLM: 2985088R

Informations de publication

Date de publication:
05 Jun 2024
Historique:
received: 10 04 2024
revised: 03 06 2024
accepted: 03 06 2024
medline: 8 6 2024
pubmed: 8 6 2024
entrez: 7 6 2024
Statut: aheadofprint

Résumé

Peptide-based self-assembly has been used to produce a wide range of nanostructures. While most of these systems involve self-assembly of α-peptides, more recently β-peptides have also been shown to undergo supramolecular self-assembly, and have been used to produce materials for applications in tissue engineering, cell culture and drug delivery. In order to engineer new materials with specific structure and function, theoretical molecular modelling can provide significant insights into the collective balance of non-covalent interactions that drive the self-assembly and determine the structure of the resultant supramolecular materials under different conditions. However, this approach has only recently become feasible for peptide-based self-assembled nanomaterials, particularly those that incorporate non α-amino acids. This perspective provides an overview of the challenges associated with computational modelling of the self-assembly of β-peptides and the recent success using a combination of experimental and computational techniques to provide insights into the self-assembly mechanisms and fully atomistic models of these new biocompatible materials.

Identifiants

pubmed: 38848868
pii: S0022-2836(24)00241-9
doi: 10.1016/j.jmb.2024.168646
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

168646

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Marie-Isabel Aguilar (MI)

Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia. Electronic address: Mibel.aguilar@monash.edu.

Irene Yarovsky (I)

School of Engineering, RMIT University, Melbourne, Victoria 3001, Australia. Electronic address: Irene.yarovsky@rmit.edu.au.

Classifications MeSH