Nature MethodsBiophysicsPeer-reviewed journal article
GPCRmd uncovers the dynamics of the 3D-GPCRome
I. Rodriguez-Espigares, M. Torrens-Fontanals, J. K. S. Tiemann, D. Aranda-Garcia, J. M. Ramirez-Anguita, T. M. Stepniewski, N. Worp, A. Varela-Rial, A. Morales-Pastor, B. Medel Lacruz, G. Pandy-Szekeres, E. Mayol, T. Giorgino, J. Carlsson, X. Deupi, S. Filipek, J. C. Gomez-Tamayo, A. Gonzalez, H. Gutierrez-de-Teran, M. Jimenez, W. Jespers, J. Kapla, G. Khelashvili, P. Kolb, D. Latek, , Wein
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.
- assay: structural biology
- research focus: benchmarking
- research focus: database / resource
- research focus: software / tool
- approach: deep learning
- approach: statistical model
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