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. 2020 Aug;17(8):777-787.
doi: 10.1038/s41592-020-0884-y. Epub 2020 Jul 13.

GPCRmd uncovers the dynamics of the 3D-GPCRome

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GPCRmd uncovers the dynamics of the 3D-GPCRome

Ismael Rodríguez-Espigares et al. Nat Methods. 2020 Aug.

Erratum in

  • Publisher Correction: GPCRmd uncovers the dynamics of the 3D-GPCRome.
    Rodríguez-Espigares I, Torrens-Fontanals M, Tiemann JKS, Aranda-García D, Ramírez-Anguita JM, Stepniewski TM, Worp N, Varela-Rial A, Morales-Pastor A, Medel-Lacruz B, Pándy-Szekeres G, Mayol E, Giorgino T, Carlsson J, Deupi X, Filipek S, Filizola M, Gómez-Tamayo JC, Gonzalez A, Gutiérrez-de-Terán H, Jiménez-Rosés M, Jespers W, Kapla J, Khelashvili G, Kolb P, Latek D, Marti-Solano M, Matricon P, Matsoukas MT, Miszta P, Olivella M, Perez-Benito L, Provasi D, Ríos S, R Torrecillas I, Sallander J, Sztyler A, Vasile S, Weinstein H, Zachariae U, Hildebrand PW, De Fabritiis G, Sanz F, Gloriam DE, Cordomi A, Guixà-González R, Selent J. Rodríguez-Espigares I, et al. Nat Methods. 2020 Aug;17(8):861-862. doi: 10.1038/s41592-020-0928-3. Nat Methods. 2020. PMID: 32704182

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 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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References

    1. Hauser, A. S., Attwood, M. M., Rask-Andersen, M., Schiöth, H. B. & Gloriam, D. E. Trends in GPCR drug discovery: mew agents, targets and indications. Nat. Rev. Drug Discov. 16, 829–842 (2017). - PubMed - PMC
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    1. Munk, C. et al. An online resource for GPCR structure determination and analysis. Nat. Methods 16, 151–162 (2019). - DOI
    1. Latorraca, N. R., Venkatakrishnan, A. J. & Dror, R. O. GPCR dynamics: structures in motion. Chem. Rev. 117, 139–155 (2017). - DOI
    1. Hildebrand, P. W., Rose, A. S. & Tiemann, J. K. S. Bringing molecular dynamics simulation data into view. Trends Biochem. Sci. 44, 902–913 (2019). - DOI

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