Bonds and bytes: The odyssey of structural biology.


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:
14 Dec 2023
Historique:
received: 02 10 2023
revised: 20 11 2023
accepted: 24 11 2023
medline: 16 12 2023
pubmed: 16 12 2023
entrez: 15 12 2023
Statut: aheadofprint

Résumé

Characterizing structural and dynamic properties of proteins and large macromolecular assemblies is crucial to understand the molecular mechanisms underlying biological functions. In the field of structural biology, no single method comprehensively reveals the behavior of biological systems across various spatiotemporal scales. Instead, we have a versatile toolkit of techniques, each contributing a piece to the overall puzzle. Integrative structural biology combines different techniques to create accurate and precise multi-scale models that expand our understanding of complex biological systems. This review outlines recent advancements in computational and experimental methods in structural biology, with special focus on recent Artificial Intelligence techniques, emphasizes integrative approaches that combine different types of data for precise spatiotemporal modeling, and provides an outlook into future directions of this field.

Identifiants

pubmed: 38101027
pii: S0959-440X(23)00220-8
doi: 10.1016/j.sbi.2023.102746
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102746

Informations de copyright

Copyright © 2023 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

S E Hoff (SE)

Institut Pasteur, Université Paris Cité, CNRS UMR 3528, Structural Bioinformatics Unit, Paris, France.

M Zinke (M)

Institut Pasteur, Université Paris Cité, CNRS UMR 3528, Bacterial Transmembrane Systems Unit, Paris, France. Electronic address: https://twitter.com/ZinkeMaximilian.

N Izadi-Pruneyre (N)

Institut Pasteur, Université Paris Cité, CNRS UMR 3528, Bacterial Transmembrane Systems Unit, Paris, France. Electronic address: nadia.izadi@pasteur.fr.

M Bonomi (M)

Institut Pasteur, Université Paris Cité, CNRS UMR 3528, Structural Bioinformatics Unit, Paris, France. Electronic address: mbonomi@pasteur.fr.

Classifications MeSH