Dynamics of Protein-RNA Interfaces Using All-Atom Molecular Dynamics Simulations.


Journal

The journal of physical chemistry. B
ISSN: 1520-5207
Titre abrégé: J Phys Chem B
Pays: United States
ID NLM: 101157530

Informations de publication

Date de publication:
13 May 2024
Historique:
medline: 14 5 2024
pubmed: 14 5 2024
entrez: 13 5 2024
Statut: aheadofprint

Résumé

Facing the current challenges posed by human health diseases requires the understanding of cell machinery at a molecular level. The interplay between proteins and RNA is key for any physiological phenomenon, as well protein-RNA interactions. To understand these interactions, many experimental techniques have been developed, spanning a very wide range of spatial and temporal resolutions. In particular, the knowledge of tridimensional structures of protein-RNA complexes provides structural, mechanical, and dynamical pieces of information essential to understand their functions. To get insights into the dynamics of protein-RNA complexes, we carried out all-atom molecular dynamics simulations in explicit solvent on nine different protein-RNA complexes with different functions and interface size by taking into account the bound and unbound forms. First, we characterized structural changes upon binding and, for the RNA part, the change in the puckering. Second, we extensively analyzed the interfaces, their dynamics and structural properties, and the structural waters involved in the binding, as well as the contacts mediated by them. Based on our analysis, the interfaces rearranged during the simulation time showing alternative and stable residue-residue contacts with respect to the experimental structure.

Identifiants

pubmed: 38740056
doi: 10.1021/acs.jpcb.3c07698
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Afra Sabei (A)

Université Paris Cité, CiTCoM, CNRS, Paris F-75006, France.

Cécilia Hognon (C)

Université Paris Cité, CiTCoM, CNRS, Paris F-75006, France.

Juliette Martin (J)

Univ Lyon, Université Claude Bernard Lyon 1, CNRS, UMR 5086 MMSB, Lyon 69367, France.
Laboratory of Biology and Modeling of the Cell, Université de Lyon, ENS de Lyon, Université Claude Bernard, CNRS UMR 5239, Inserm U1293, Lyon 69367, France.

Elisa Frezza (E)

Université Paris Cité, CiTCoM, CNRS, Paris F-75006, France.

Classifications MeSH