Literature DB >> 35239339

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

Corentin Bedart1,2, Nicolas Renault1, Philippe Chavatte1, Adeline Porcherie2, Abderrahim Lachgar2, Monique Capron1,2, Amaury Farce1.   

Abstract

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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Year:  2022        PMID: 35239339      PMCID: PMC8966674          DOI: 10.1021/acs.jcim.1c00854

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  47 in total

1.  UCSF Chimera--a visualization system for exploratory research and analysis.

Authors:  Eric F Pettersen; Thomas D Goddard; Conrad C Huang; Gregory S Couch; Daniel M Greenblatt; Elaine C Meng; Thomas E Ferrin
Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

2.  The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling.

Authors:  Konstantin Arnold; Lorenza Bordoli; Jürgen Kopp; Torsten Schwede
Journal:  Bioinformatics       Date:  2005-11-13       Impact factor: 6.937

Review 3.  The year in G protein-coupled receptor research.

Authors:  Robert P Millar; Claire L Newton
Journal:  Mol Endocrinol       Date:  2009-12-17

Review 4.  GPCR Dynamics: Structures in Motion.

Authors:  Naomi R Latorraca; A J Venkatakrishnan; Ron O Dror
Journal:  Chem Rev       Date:  2016-09-13       Impact factor: 60.622

5.  NAPS: Network Analysis of Protein Structures.

Authors:  Broto Chakrabarty; Nita Parekh
Journal:  Nucleic Acids Res       Date:  2016-05-05       Impact factor: 16.971

6.  Extracellular gating of glucose transport through GLUT 1.

Authors:  Liao Y Chen; Clyde F Phelix
Journal:  Biochem Biophys Res Commun       Date:  2019-02-27       Impact factor: 3.575

7.  Pivotal roles of the parasite PGD2 synthase and of the host D prostanoid receptor 1 in schistosome immune evasion.

Authors:  Maxime Hervé; Véronique Angeli; Elena Pinzar; René Wintjens; Christelle Faveeuw; Shuh Narumiya; André Capron; Yoshihiro Urade; Monique Capron; Gilles Riveau; François Trottein
Journal:  Eur J Immunol       Date:  2003-10       Impact factor: 5.532

8.  Agonist-bound adenosine A2A receptor structures reveal common features of GPCR activation.

Authors:  Guillaume Lebon; Tony Warne; Patricia C Edwards; Kirstie Bennett; Christopher J Langmead; Andrew G W Leslie; Christopher G Tate
Journal:  Nature       Date:  2011-05-18       Impact factor: 49.962

9.  ProMod3-A versatile homology modelling toolbox.

Authors:  Gabriel Studer; Gerardo Tauriello; Stefan Bienert; Marco Biasini; Niklaus Johner; Torsten Schwede
Journal:  PLoS Comput Biol       Date:  2021-01-28       Impact factor: 4.475

10.  Insights into adenosine A2A receptor activation through cooperative modulation of agonist and allosteric lipid interactions.

Authors:  Agustín Bruzzese; James A R Dalton; Jesús Giraldo
Journal:  PLoS Comput Biol       Date:  2020-04-16       Impact factor: 4.475

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