GPUGrid New paper 2/2: GPCRmd uncovers the dynamics of the 3D-GPCRome

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The second paper is Rodríguez-Espigares, I., Torrens-Fontanals, M., Tiemann, J.K.S. et al. GPCRmd uncovers the dynamics of the 3D-GPCRome. Nat Methods (2020). 10.1038/s41592-020-0884-y here, your computations have been used to build a database of configurations for most types and subtypes of GPCR-class proteins. GPCRs are "do-all" receptors - there are many many subtypes, each with activators and inhibitors. The GPCRmd database provides for the first time a *systematic* coverage of their dynamics.
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.
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