3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references100

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          SciPy 1.0: fundamental algorithms for scientific computing in Python

          SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Matplotlib: A 2D Graphics Environment

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The Protein Data Bank.

              The Protein Data Bank (PDB; http://www.rcsb.org/pdb/ ) is the single worldwide archive of structural data of biological macromolecules. This paper describes the goals of the PDB, the systems in place for data deposition and access, how to obtain further information, and near-term plans for the future development of the resource.
                Bookmark

                Author and article information

                Contributors
                laura.pedraza@unisi.it
                leonardo.barneschi@student.unisi.it
                daniele.padula@unisi.it
                Luca.DeVico@unisi.it
                olivucci@unisi.it
                Journal
                Top Curr Chem (Cham)
                Top Curr Chem (Cham)
                Topics in Current Chemistry (Cham)
                Springer International Publishing (Cham )
                2365-0869
                2364-8961
                15 March 2022
                15 March 2022
                2022
                : 380
                : 3
                : 21
                Affiliations
                [1 ]GRID grid.9024.f, ISNI 0000 0004 1757 4641, Dipartimento di Biotecnologie, Chimica e Farmacia, , Università degli Studi di Siena, ; Via Aldo Moro 2, 53100 Siena, Italy
                [2 ]GRID grid.253248.a, ISNI 0000 0001 0661 0035, Department of Chemistry, , Bowling Green State University, ; Bowling Green, OH 43403 USA
                [3 ]GRID grid.5395.a, ISNI 0000 0004 1757 3729, Present Address: Department of Chemistry and Industrial Chemistry, , University of Pisa, ; Via Moruzzi 13, 56124 Pisa, Italy
                Author information
                http://orcid.org/0000-0002-9806-236X
                http://orcid.org/0000-0003-0736-1696
                http://orcid.org/0000-0002-7171-7928
                http://orcid.org/0000-0002-2821-5711
                http://orcid.org/0000-0002-8247-209X
                Article
                374
                10.1007/s41061-022-00374-w
                8924150
                35291019
                2e4bec7d-ec32-49fa-af6d-cd72278c0197
                © The Author(s) 2022

                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/.

                History
                : 3 December 2021
                : 29 January 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: CHE-CLP-1710191
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: 1R15GM126627 01
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003407, Ministero dell’Istruzione, dell’Università e della Ricerca;
                Award ID: Rita Levi Montalcini grant, 2021-2024
                Award Recipient :
                Categories
                Review
                Custom metadata
                © Springer Nature Switzerland AG 2022

                qm/mm,rhodopsins,photochemistry,photobiology,python package
                qm/mm, rhodopsins, photochemistry, photobiology, python package

                Comments

                Comment on this article