Back to Search Start Over

GPCRmd uncovers the dynamics of the 3D-GPCRome

Authors :
Ismael Rodríguez-Espigares
Mariona Torrens-Fontanals
Johanna K.S. Tiemann
David Aranda-García
Juan Manuel Ramírez-Anguita
Tomasz Maciej Stepniewski
Nathalie Worp
Alejandro Varela-Rial
Adrián Morales-Pastor
Brian Medel Lacruz
Gáspár Pándy-Szekeres
Eduardo Mayol
Toni Giorgino
Jens Carlsson
Xavier Deupi
Slawomir Filipek
Marta Filizola
José Carlos Gómez-Tamayo
Angel Gonzalez
Hugo Gutierrez-de-Teran
Mireia Jimenez
Willem Jespers
Jon Kapla
George Khelashvili
Peter Kolb
Dorota Latek
Maria Marti-Solano
Pierre Matricon
Minos-Timotheos Matsoukas
Przemyslaw Miszta
Mireia Olivella
Laura Perez-Benito
Davide Provasi
Santiago Ríos
Iván Rodríguez-Torrecillas
Jessica Sallander
Agnieszka Sztyler
Nagarajan Vaidehi
Silvana Vasile
Harel Weinstein
Ulrich Zachariae
Peter W. Hildebrand
Gianni De Fabritiis
Ferran Sanz
David E. Gloriam
Arnau Cordomi
Ramon Guixà-González
Jana Selent
Source :
Nature Methods, bioRxiv
Publication Year :
2020

Abstract

G protein-coupled receptors (GPCRs) are involved in numerous physiological processes and are the most frequent targets of approved drugs. The explosion in the number of new 3D molecular structures of GPCRs (3D-GPCRome) during the last decade has greatly advanced the mechanistic understanding and drug design opportunities for this protein family. While experimentally-resolved structures undoubtedly provide valuable snapshots of specific GPCR conformational states, they give only limited information on their flexibility and dynamics associated with function. Molecular dynamics (MD) simulations have become a widely established technique to explore the conformational landscape of proteins at an atomic level. However, the analysis and visualization of MD simulations requires efficient storage resources and specialized software, hence limiting the dissemination of these data to specialists in the field. Here we present the GPCRmd (http://gpcrmd.org/), an online platform that incorporates web-based visualization capabilities as well as a comprehensive and user-friendly analysis toolbox that allows scientists from different disciplines to visualize, analyse and share GPCR MD data. GPCRmd originates from a community-driven effort to create the first open, interactive, and standardized database of GPCR MD simulations. We demonstrate the power of this resource by performing comparative analyses of multiple GPCR simulations on two mechanisms critical to receptor function: internal water networks and sodium ion interaction.

Details

ISSN :
15487091
Database :
OpenAIRE
Journal :
Nature Methods
Accession number :
edsair.doi.dedup.....7d1c905a0f93c55dbafbbb30b26336a8
Full Text :
https://doi.org/10.1101/839597