DockSurf: A Molecular Modeling Software for the Prediction of Protein/Surface Adhesion.


Journal

Journal of chemical information and modeling
ISSN: 1549-960X
Titre abrégé: J Chem Inf Model
Pays: United States
ID NLM: 101230060

Informations de publication

Date de publication:
28 08 2023
Historique:
medline: 29 8 2023
pubmed: 14 8 2023
entrez: 14 8 2023
Statut: ppublish

Résumé

The elucidation of structural interfaces between proteins and inorganic surfaces is a crucial aspect of bionanotechnology development. Despite its significance, the interfacial structures between proteins and metallic surfaces are yet to be fully understood, and the lack of experimental investigation has impeded the development of many devices. To overcome this limitation, we suggest considering the generation of protein/surface structures as a molecular docking problem with a homogenous plan as the target. To this extent, we propose a new software, DockSurf, which aims to quickly propose reliable protein/surface structures. Our approach considers the conformational exploration with Euler's angles, which provide a cartography instead of a unique structure. Interaction energies were derived from quantum mechanics computations for a set of small molecules that describe protein atom types and implemented in a Derjaguin, Landau, Verwey, and Overbeek potential for the consideration of large systems such as proteins. The validation of DockSurf software was conducted with molecular dynamics for corona proteins with gold surfaces and provided enthusiastic results. This software is implemented in the RPBS platform to facilitate widespread access to the scientific community.

Identifiants

pubmed: 37579187
doi: 10.1021/acs.jcim.3c00569
doi:

Substances chimiques

Membrane Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5220-5231

Auteurs

Florent Barbault (F)

Université Paris Cité, CNRS, ITODYS, F-75013 Paris, France.

Eric Brémond (E)

Université Paris Cité, CNRS, ITODYS, F-75013 Paris, France.

Julien Rey (J)

Université Paris Cité, CNRS UMR 8251, INSERM U1133, RPBS, 75205 Paris, France.

Pierre Tufféry (P)

Université Paris Cité, CNRS UMR 8251, INSERM U1133, RPBS, 75205 Paris, France.

François Maurel (F)

Université Paris Cité, CNRS, ITODYS, F-75013 Paris, France.

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Classifications MeSH