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Hybrid MM/CG Webserver: Automatic Set Up of Molecular Mechanics/Coarse-Grained Simulations for Human G Protein-Coupled Receptor/Ligand Complexes

Hybrid Molecular Mechanics/Coarse-Grained (MM/CG) simulations help predict ligand poses in human G protein-coupled receptors (hGPCRs), the most important protein superfamily for pharmacological applications. This approach allows the description of the ligand, the binding cavity, and the surrounding...

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Autores principales: Schneider, Jakob, Ribeiro, Rui, Alfonso-Prieto, Mercedes, Carloni, Paolo, Giorgetti, Alejandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500467/
https://www.ncbi.nlm.nih.gov/pubmed/33102525
http://dx.doi.org/10.3389/fmolb.2020.576689
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author Schneider, Jakob
Ribeiro, Rui
Alfonso-Prieto, Mercedes
Carloni, Paolo
Giorgetti, Alejandro
author_facet Schneider, Jakob
Ribeiro, Rui
Alfonso-Prieto, Mercedes
Carloni, Paolo
Giorgetti, Alejandro
author_sort Schneider, Jakob
collection PubMed
description Hybrid Molecular Mechanics/Coarse-Grained (MM/CG) simulations help predict ligand poses in human G protein-coupled receptors (hGPCRs), the most important protein superfamily for pharmacological applications. This approach allows the description of the ligand, the binding cavity, and the surrounding water molecules at atomistic resolution, while coarse-graining the rest of the receptor. Here, we present the Hybrid MM/CG Webserver (mmcg.grs.kfa-juelich.de) that automatizes and speeds up the MM/CG simulation setup of hGPCR/ligand complexes. Initial structures for such complexes can be easily and efficiently generated with other webservers. The Hybrid MM/CG server also allows for equilibration of the systems, either fully automatically or interactively. The results are visualized online (using both interactive 3D visualizations and analysis plots), helping the user identify possible issues and modify the setup parameters accordingly. Furthermore, the prepared system can be downloaded and the simulation continued locally.
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spelling pubmed-75004672020-10-22 Hybrid MM/CG Webserver: Automatic Set Up of Molecular Mechanics/Coarse-Grained Simulations for Human G Protein-Coupled Receptor/Ligand Complexes Schneider, Jakob Ribeiro, Rui Alfonso-Prieto, Mercedes Carloni, Paolo Giorgetti, Alejandro Front Mol Biosci Molecular Biosciences Hybrid Molecular Mechanics/Coarse-Grained (MM/CG) simulations help predict ligand poses in human G protein-coupled receptors (hGPCRs), the most important protein superfamily for pharmacological applications. This approach allows the description of the ligand, the binding cavity, and the surrounding water molecules at atomistic resolution, while coarse-graining the rest of the receptor. Here, we present the Hybrid MM/CG Webserver (mmcg.grs.kfa-juelich.de) that automatizes and speeds up the MM/CG simulation setup of hGPCR/ligand complexes. Initial structures for such complexes can be easily and efficiently generated with other webservers. The Hybrid MM/CG server also allows for equilibration of the systems, either fully automatically or interactively. The results are visualized online (using both interactive 3D visualizations and analysis plots), helping the user identify possible issues and modify the setup parameters accordingly. Furthermore, the prepared system can be downloaded and the simulation continued locally. Frontiers Media S.A. 2020-09-04 /pmc/articles/PMC7500467/ /pubmed/33102525 http://dx.doi.org/10.3389/fmolb.2020.576689 Text en Copyright © 2020 Schneider, Ribeiro, Alfonso-Prieto, Carloni and Giorgetti. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Schneider, Jakob
Ribeiro, Rui
Alfonso-Prieto, Mercedes
Carloni, Paolo
Giorgetti, Alejandro
Hybrid MM/CG Webserver: Automatic Set Up of Molecular Mechanics/Coarse-Grained Simulations for Human G Protein-Coupled Receptor/Ligand Complexes
title Hybrid MM/CG Webserver: Automatic Set Up of Molecular Mechanics/Coarse-Grained Simulations for Human G Protein-Coupled Receptor/Ligand Complexes
title_full Hybrid MM/CG Webserver: Automatic Set Up of Molecular Mechanics/Coarse-Grained Simulations for Human G Protein-Coupled Receptor/Ligand Complexes
title_fullStr Hybrid MM/CG Webserver: Automatic Set Up of Molecular Mechanics/Coarse-Grained Simulations for Human G Protein-Coupled Receptor/Ligand Complexes
title_full_unstemmed Hybrid MM/CG Webserver: Automatic Set Up of Molecular Mechanics/Coarse-Grained Simulations for Human G Protein-Coupled Receptor/Ligand Complexes
title_short Hybrid MM/CG Webserver: Automatic Set Up of Molecular Mechanics/Coarse-Grained Simulations for Human G Protein-Coupled Receptor/Ligand Complexes
title_sort hybrid mm/cg webserver: automatic set up of molecular mechanics/coarse-grained simulations for human g protein-coupled receptor/ligand complexes
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500467/
https://www.ncbi.nlm.nih.gov/pubmed/33102525
http://dx.doi.org/10.3389/fmolb.2020.576689
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