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DockSurf: A Molecular Modeling Software for the Prediction of Protein/Surface Adhesion.
Barbault, Florent; Brémond, Eric; Rey, Julien; Tufféry, Pierre; Maurel, François.
Afiliación
  • Barbault F; Université Paris Cité, CNRS, ITODYS, F-75013 Paris, France.
  • Brémond E; Université Paris Cité, CNRS, ITODYS, F-75013 Paris, France.
  • Rey J; Université Paris Cité, CNRS UMR 8251, INSERM U1133, RPBS, 75205 Paris, France.
  • Tufféry P; Université Paris Cité, CNRS UMR 8251, INSERM U1133, RPBS, 75205 Paris, France.
  • Maurel F; Université Paris Cité, CNRS, ITODYS, F-75013 Paris, France.
J Chem Inf Model ; 63(16): 5220-5231, 2023 08 28.
Article en En | MEDLINE | ID: mdl-37579187
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas de la Membrana Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2023 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas de la Membrana Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2023 Tipo del documento: Article País de afiliación: Francia