Structural Characterization of Protein–Protein Interactions with pyDockSAXS

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.

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Bibliographic Details
Main Authors: Jiménez-García, Brian, Bernadó, Pau, Fernández-Recio, Juan
Other Authors: Ministerio de Economía y Competitividad (España)
Format: capítulo de libro biblioteca
Language:English
Published: Springer Nature 2020
Subjects:Protein–protein interactions, Structural modeling, Small-angle X-ray scattering (SAXS), Computational docking, FTDock, CRYSOL, pyDock,
Online Access:http://hdl.handle.net/10261/232368
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/501100003329
http://dx.doi.org/10.13039/501100001665
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spelling dig-icvv-es-10261-2323682021-03-06T05:56:19Z Structural Characterization of Protein–Protein Interactions with pyDockSAXS Jiménez-García, Brian Bernadó, Pau Fernández-Recio, Juan Ministerio de Economía y Competitividad (España) European Commission Labex EpiGenMed Agence Nationale de la Recherche (France) Protein–protein interactions Structural modeling Small-angle X-ray scattering (SAXS) Computational docking FTDock CRYSOL pyDock 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. This work was supported by the Spanish Ministry of Science (grant BIO2016-79930-R), the European Union H2020 programme (grant MuG 676566), and the Labex EpiGenMed, an “Investissements d’avenir” program (ANR-10-LABX-12-01). The CBS is a member of France-BioImaging (FBI) and the French Infrastructure for Integrated Structural Biology (FRISBI), two national infrastructures supported by the French National Research Agency (ANR-10-INSB-04-01 and ANR-10-INSB-05, respectively). Peer reviewed 2021-03-03T10:27:26Z 2021-03-03T10:27:26Z 2020 capítulo de libro http://purl.org/coar/resource_type/c_3248 Structural Bioinformatics 131-144 (2020) 978-1-0716-0269-0 http://hdl.handle.net/10261/232368 10.1007/978-1-0716-0270-6_10 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100001665 en #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIO2016-79930-R info:eu-repo/grantAgreement/EC/H2020/676566 Methods in Molecular Biology 2112 https://doi.org/10.1007/978-1-0716-0270-6_10 Sí none Springer Nature
institution ICVV ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-icvv-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del ICVV España
language English
topic Protein–protein interactions
Structural modeling
Small-angle X-ray scattering (SAXS)
Computational docking
FTDock
CRYSOL
pyDock
Protein–protein interactions
Structural modeling
Small-angle X-ray scattering (SAXS)
Computational docking
FTDock
CRYSOL
pyDock
spellingShingle Protein–protein interactions
Structural modeling
Small-angle X-ray scattering (SAXS)
Computational docking
FTDock
CRYSOL
pyDock
Protein–protein interactions
Structural modeling
Small-angle X-ray scattering (SAXS)
Computational docking
FTDock
CRYSOL
pyDock
Jiménez-García, Brian
Bernadó, Pau
Fernández-Recio, Juan
Structural Characterization of Protein–Protein Interactions with pyDockSAXS
description 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.
author2 Ministerio de Economía y Competitividad (España)
author_facet Ministerio de Economía y Competitividad (España)
Jiménez-García, Brian
Bernadó, Pau
Fernández-Recio, Juan
format capítulo de libro
topic_facet Protein–protein interactions
Structural modeling
Small-angle X-ray scattering (SAXS)
Computational docking
FTDock
CRYSOL
pyDock
author Jiménez-García, Brian
Bernadó, Pau
Fernández-Recio, Juan
author_sort Jiménez-García, Brian
title Structural Characterization of Protein–Protein Interactions with pyDockSAXS
title_short Structural Characterization of Protein–Protein Interactions with pyDockSAXS
title_full Structural Characterization of Protein–Protein Interactions with pyDockSAXS
title_fullStr Structural Characterization of Protein–Protein Interactions with pyDockSAXS
title_full_unstemmed Structural Characterization of Protein–Protein Interactions with pyDockSAXS
title_sort structural characterization of protein–protein interactions with pydocksaxs
publisher Springer Nature
publishDate 2020
url http://hdl.handle.net/10261/232368
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/501100003329
http://dx.doi.org/10.13039/501100001665
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