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Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol

In recent years, photoactive proteins such as rhodopsins have become a common target for cutting-edge research in the field of optogenetics. Alongside wet-lab research, computational methods are also developing rapidly to provide the necessary tools to analyze and rationalize experimental results an...

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Autores principales: Pedraza-González, Laura, Barneschi, Leonardo, Padula, Daniele, De Vico, Luca, Olivucci, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924150/
https://www.ncbi.nlm.nih.gov/pubmed/35291019
http://dx.doi.org/10.1007/s41061-022-00374-w
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author Pedraza-González, Laura
Barneschi, Leonardo
Padula, Daniele
De Vico, Luca
Olivucci, Massimo
author_facet Pedraza-González, Laura
Barneschi, Leonardo
Padula, Daniele
De Vico, Luca
Olivucci, Massimo
author_sort Pedraza-González, Laura
collection PubMed
description In recent years, photoactive proteins such as rhodopsins have become a common target for cutting-edge research in the field of optogenetics. Alongside wet-lab research, computational methods are also developing rapidly to provide the necessary tools to analyze and rationalize experimental results and, most of all, drive the design of novel systems. The Automatic Rhodopsin Modeling (ARM) protocol is focused on providing exactly the necessary computational tools to study rhodopsins, those being either natural or resulting from mutations. The code has evolved along the years to finally provide results that are reproducible by any user, accurate and reliable so as to replicate experimental trends. Furthermore, the code is efficient in terms of necessary computing resources and time, and scalable in terms of both number of concurrent calculations as well as features. In this review, we will show how the code underlying ARM achieved each of these properties.
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spelling pubmed-89241502022-03-17 Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol Pedraza-González, Laura Barneschi, Leonardo Padula, Daniele De Vico, Luca Olivucci, Massimo Top Curr Chem (Cham) Review In recent years, photoactive proteins such as rhodopsins have become a common target for cutting-edge research in the field of optogenetics. Alongside wet-lab research, computational methods are also developing rapidly to provide the necessary tools to analyze and rationalize experimental results and, most of all, drive the design of novel systems. The Automatic Rhodopsin Modeling (ARM) protocol is focused on providing exactly the necessary computational tools to study rhodopsins, those being either natural or resulting from mutations. The code has evolved along the years to finally provide results that are reproducible by any user, accurate and reliable so as to replicate experimental trends. Furthermore, the code is efficient in terms of necessary computing resources and time, and scalable in terms of both number of concurrent calculations as well as features. In this review, we will show how the code underlying ARM achieved each of these properties. Springer International Publishing 2022-03-15 2022 /pmc/articles/PMC8924150/ /pubmed/35291019 http://dx.doi.org/10.1007/s41061-022-00374-w Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Pedraza-González, Laura
Barneschi, Leonardo
Padula, Daniele
De Vico, Luca
Olivucci, Massimo
Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol
title Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol
title_full Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol
title_fullStr Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol
title_full_unstemmed Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol
title_short Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol
title_sort evolution of the automatic rhodopsin modeling (arm) protocol
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924150/
https://www.ncbi.nlm.nih.gov/pubmed/35291019
http://dx.doi.org/10.1007/s41061-022-00374-w
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