Structural Characterization of Protein-Protein Interactions with pyDockSAXS.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2020
Historique:
entrez: 2 2 2020
pubmed: 2 2 2020
medline: 28 1 2021
Statut: ppublish

Résumé

Structural characterization of protein-protein interactions can provide essential details to understand biological functions at the molecular level and to facilitate their manipulation for biotechnological and biomedical purposes. Unfortunately, the 3D structure is available for only a small fraction of all possible protein-protein interactions, due to the technical limitations of high-resolution structural determination methods. In this context, low-resolution structural techniques, such as small-angle X-ray scattering (SAXS), can be combined with computational docking to provide structural models of protein-protein interactions at large scale. In this chapter, we describe the pyDockSAXS web server ( https://life.bsc.es/pid/pydocksaxs ), which uses pyDock docking and scoring to provide structural models that optimally satisfy the input SAXS data. This server, which is freely available to the scientific community, provides an automatic pipeline to model the structure of a protein-protein complex from SAXS data.

Identifiants

pubmed: 32006283
doi: 10.1007/978-1-0716-0270-6_10
doi:

Substances chimiques

Proteins 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

131-144

Auteurs

Brian Jiménez-García (B)

Barcelona Supercomputing Center (BSC), Barcelona, Spain.
Bijvoet Center for Biomolecular Research, Faculty of Science-Chemistry, Utrecht University, Utrecht, The Netherlands.

Pau Bernadó (P)

Centre de Biochimie Structurale, CNRS, INSERM, Université de Montpellier, Montpellier, France.

Juan Fernández-Recio (J)

Barcelona Supercomputing Center (BSC), Barcelona, Spain. juan.fernandezrecio@icvv.es.
Institut de Biologia Molecular de Barcelona (IBMB), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain. juan.fernandezrecio@icvv.es.
Instituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Científicas (CSIC), Logroño, Spain. juan.fernandezrecio@icvv.es.

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