GPCRmd uncovers the dynamics of the 3D-GPCRome

Autor: 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
Rok vydání: 2020
Předmět:
Zdroj: Nature Methods
bioRxiv
ISSN: 1548-7091
DOI: 10.1101/839597
Popis: 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.
Databáze: OpenAIRE
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