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SINAPs: A Software Tool for Analysis and Visualization of Interaction Networks of Molecular Dynamics Simulations

[Image: see text] As long as the structural study of molecular mechanisms requires multiple molecular dynamics reflecting contrasted bioactive states, the subsequent analysis of molecular interaction networks remains a bottleneck to be fairly treated and requires a user-friendly 3D view of key inter...

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Autores principales: Bedart, Corentin, Renault, Nicolas, Chavatte, Philippe, Porcherie, Adeline, Lachgar, Abderrahim, Capron, Monique, Farce, Amaury
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966674/
https://www.ncbi.nlm.nih.gov/pubmed/35239339
http://dx.doi.org/10.1021/acs.jcim.1c00854
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author Bedart, Corentin
Renault, Nicolas
Chavatte, Philippe
Porcherie, Adeline
Lachgar, Abderrahim
Capron, Monique
Farce, Amaury
author_facet Bedart, Corentin
Renault, Nicolas
Chavatte, Philippe
Porcherie, Adeline
Lachgar, Abderrahim
Capron, Monique
Farce, Amaury
author_sort Bedart, Corentin
collection PubMed
description [Image: see text] As long as the structural study of molecular mechanisms requires multiple molecular dynamics reflecting contrasted bioactive states, the subsequent analysis of molecular interaction networks remains a bottleneck to be fairly treated and requires a user-friendly 3D view of key interactions. Structural Interaction Network Analysis Protocols (SINAPs) is a proprietary python tool developed to (i) quickly solve key interactions able to distinguish two protein states, either from two sets of molecular dynamics simulations or from two crystallographic structures, and (ii) render a user-friendly 3D view of these key interactions through a plugin of UCSF Chimera, one of the most popular open-source viewing software for biomolecular systems. Through two case studies, glucose transporter-1 (GLUT-1) and A2A adenosine receptor (A2AR), SINAPs easily pinpointed key interactions observed experimentally and relevant for their bioactivities. This very effective tool was thus applied to identify the amino acids involved in the molecular enzymatic mechanisms ruling the activation of an immunomodulator drug candidate, P28 glutathione-S-transferase (P28GST). SINAPs is freely available at https://github.com/ParImmune/SINAPs.
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spelling pubmed-89666742023-03-03 SINAPs: A Software Tool for Analysis and Visualization of Interaction Networks of Molecular Dynamics Simulations Bedart, Corentin Renault, Nicolas Chavatte, Philippe Porcherie, Adeline Lachgar, Abderrahim Capron, Monique Farce, Amaury J Chem Inf Model [Image: see text] As long as the structural study of molecular mechanisms requires multiple molecular dynamics reflecting contrasted bioactive states, the subsequent analysis of molecular interaction networks remains a bottleneck to be fairly treated and requires a user-friendly 3D view of key interactions. Structural Interaction Network Analysis Protocols (SINAPs) is a proprietary python tool developed to (i) quickly solve key interactions able to distinguish two protein states, either from two sets of molecular dynamics simulations or from two crystallographic structures, and (ii) render a user-friendly 3D view of these key interactions through a plugin of UCSF Chimera, one of the most popular open-source viewing software for biomolecular systems. Through two case studies, glucose transporter-1 (GLUT-1) and A2A adenosine receptor (A2AR), SINAPs easily pinpointed key interactions observed experimentally and relevant for their bioactivities. This very effective tool was thus applied to identify the amino acids involved in the molecular enzymatic mechanisms ruling the activation of an immunomodulator drug candidate, P28 glutathione-S-transferase (P28GST). SINAPs is freely available at https://github.com/ParImmune/SINAPs. American Chemical Society 2022-03-03 2022-03-28 /pmc/articles/PMC8966674/ /pubmed/35239339 http://dx.doi.org/10.1021/acs.jcim.1c00854 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Bedart, Corentin
Renault, Nicolas
Chavatte, Philippe
Porcherie, Adeline
Lachgar, Abderrahim
Capron, Monique
Farce, Amaury
SINAPs: A Software Tool for Analysis and Visualization of Interaction Networks of Molecular Dynamics Simulations
title SINAPs: A Software Tool for Analysis and Visualization of Interaction Networks of Molecular Dynamics Simulations
title_full SINAPs: A Software Tool for Analysis and Visualization of Interaction Networks of Molecular Dynamics Simulations
title_fullStr SINAPs: A Software Tool for Analysis and Visualization of Interaction Networks of Molecular Dynamics Simulations
title_full_unstemmed SINAPs: A Software Tool for Analysis and Visualization of Interaction Networks of Molecular Dynamics Simulations
title_short SINAPs: A Software Tool for Analysis and Visualization of Interaction Networks of Molecular Dynamics Simulations
title_sort sinaps: a software tool for analysis and visualization of interaction networks of molecular dynamics simulations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966674/
https://www.ncbi.nlm.nih.gov/pubmed/35239339
http://dx.doi.org/10.1021/acs.jcim.1c00854
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