计算机科学
动力学(音乐)
生物
计算生物学
进化生物学
物理
声学
作者
Ismael Rodríguez‐Espigares,Mariona Torrens‐Fontanals,Johanna K. S. Tiemann,David Aranda-García,Juan Manuel Ramírez‐Anguita,Tomasz Maciej Stępniewski,Nathalie Worp,Alejandro Varela‐Rial,Adrián Morales-Pastor,Brian Medel-Lacruz,Gáspár Pándy‐Szekeres,Eduardo Mayol,Toni Giorgino,Jens Carlsson,Xavier Deupí,Sławomir Filipek,Marta Filizola,José Carlos Gómez-Tamayo,Ángel González,Hugo Gutiérrez‐de‐Terán
出处
期刊:Nature Methods
[Springer Nature]
日期:2020-07-13
卷期号:17 (8): 777-787
被引量:173
标识
DOI:10.1038/s41592-020-0884-y
摘要
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 three-dimensional (3D) molecular structures of GPCRs (3D-GPCRome) over the last decade has greatly advanced the mechanistic understanding and drug design opportunities for this protein family. Molecular dynamics (MD) simulations have become a widely established technique for exploring the conformational landscape of proteins at an atomic level. However, the analysis and visualization of MD simulations require efficient storage resources and specialized software. Here we present 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, analyze and share GPCR MD data. GPCRmd originates from a community-driven effort to create an open, interactive and standardized database of GPCR MD simulations. GPCRmd is a community-driven online platform to visualize, analyze and share G-protein-coupled receptor (GPCR) molecular dynamics data. It currently contains simulation data representing 100% of GPCR classes, 71% of receptor subtypes and 80% of GPCR families.
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