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      ProteinVR: Web-based molecular visualization in virtual reality

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          Abstract

          Protein structure determines biological function. Accurately conceptualizing 3D protein/ligand structures is thus vital to scientific research and education. Virtual reality (VR) enables protein visualization in stereoscopic 3D, but many VR molecular-visualization programs are expensive and challenging to use; work only on specific VR headsets; rely on complicated model-preparation software; and/or require the user to install separate programs or plugins. Here we introduce ProteinVR, a web-based application that works on various VR setups and operating systems. ProteinVR displays molecular structures within 3D environments that give useful biological context and allow users to situate themselves in 3D space. Our web-based implementation is ideal for hypothesis generation and education in research and large-classroom settings. We release ProteinVR under the open-source BSD-3-Clause license. A copy of the program is available free of charge from http://durrantlab.com/protein-vr/, and a working version can be accessed at http://durrantlab.com/pvr/.

          Author summary

          Proteins are microscopic machines that help maintain, defend, and regulate cells. Properly understanding the three-dimensional structures of these machines–as well as the small molecules that interact with them–can advance scientific fields ranging from basic molecular biology to drug discovery. Virtual reality (VR) is a powerful tool for studying protein structures. But many current systems for viewing molecules in VR, though effective, have challenging usability limitations. We have created a new web application called ProteinVR that overcomes these challenges. ProteinVR enables VR molecular visualization in users’ browsers, without requiring them to install a separate program or plugin. It runs on a broad range of desktop, laptop, and mobile devices. For users without VR headsets, ProteinVR leverages mobile-device orientation sensors or video-game-style keyboard navigation to provide an immersive experience. We release ProteinVR as open-source software and have posted a working version at http://durrantlab.com/pvr/.

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          Most cited references55

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          UCSF Chimera--a visualization system for exploratory research and analysis.

          The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. Copyright 2004 Wiley Periodicals, Inc.
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            VMD: Visual molecular dynamics

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              Open Babel: An open chemical toolbox

              Background A frequent problem in computational modeling is the interconversion of chemical structures between different formats. While standard interchange formats exist (for example, Chemical Markup Language) and de facto standards have arisen (for example, SMILES format), the need to interconvert formats is a continuing problem due to the multitude of different application areas for chemistry data, differences in the data stored by different formats (0D versus 3D, for example), and competition between software along with a lack of vendor-neutral formats. Results We discuss, for the first time, Open Babel, an open-source chemical toolbox that speaks the many languages of chemical data. Open Babel version 2.3 interconverts over 110 formats. The need to represent such a wide variety of chemical and molecular data requires a library that implements a wide range of cheminformatics algorithms, from partial charge assignment and aromaticity detection, to bond order perception and canonicalization. We detail the implementation of Open Babel, describe key advances in the 2.3 release, and outline a variety of uses both in terms of software products and scientific research, including applications far beyond simple format interconversion. Conclusions Open Babel presents a solution to the proliferation of multiple chemical file formats. In addition, it provides a variety of useful utilities from conformer searching and 2D depiction, to filtering, batch conversion, and substructure and similarity searching. For developers, it can be used as a programming library to handle chemical data in areas such as organic chemistry, drug design, materials science, and computational chemistry. It is freely available under an open-source license from http://openbabel.org.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Comput Biol
                PLoS Comput. Biol
                plos
                ploscomp
                PLoS Computational Biology
                Public Library of Science (San Francisco, CA USA )
                1553-734X
                1553-7358
                March 2020
                31 March 2020
                : 16
                : 3
                : e1007747
                Affiliations
                [1 ] Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
                [2 ] Faculty of Information Technology, Czech Technical University in Prague, Prague, Czech Republic
                Hebrew University of Jerusalem, ISRAEL
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-1285-6397
                http://orcid.org/0000-0002-3822-0469
                http://orcid.org/0000-0002-5808-4097
                Article
                PCOMPBIOL-D-19-02007
                10.1371/journal.pcbi.1007747
                7147804
                32231351
                701fc002-6eae-4468-8a21-c17b419024dc
                © 2020 Cassidy et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 25 November 2019
                : 25 February 2020
                Page count
                Figures: 4, Tables: 1, Pages: 17
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01GM132353
                Award Recipient :
                Funded by: University of Pittsburgh
                Award ID: 2017 Innovation in Education Award
                Award Recipient :
                We acknowledge the University of Pittsburgh’s Center for Research Computing ( https://crc.pitt.edu/) for providing valuable computer resources. This work was funded in part through the University of Pittsburgh (2017 Innovation in Education Award, http://www.pitt.edu/~facaffs/acie/awards.html, to J.D.D.) and the National Institute of General Medical Sciences of the National Institutes of Health (R01GM132353, https://www.nigms.nih.gov/, to J.D.D.). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Engineering and Technology
                Human Factors Engineering
                Man-Computer Interface
                Virtual Reality
                Computer and Information Sciences
                Computer Architecture
                User Interfaces
                Virtual Reality
                Computer and Information Sciences
                Computer Software
                Physical Sciences
                Chemistry
                Chemical Physics
                Molecular Structure
                Physical Sciences
                Physics
                Chemical Physics
                Molecular Structure
                Computer and Information Sciences
                Computer Architecture
                Computer Hardware
                Computer and Information Sciences
                Computer Software
                Open Source Software
                Science Policy
                Open Science
                Open Source Software
                Biology and Life Sciences
                Biochemistry
                Proteins
                Protein Interactions
                Engineering and Technology
                Mechanical Engineering
                Engines
                Biology and Life Sciences
                Molecular Biology
                Macromolecular Structure Analysis
                Protein Structure
                Biology and Life Sciences
                Biochemistry
                Proteins
                Protein Structure
                Custom metadata
                vor-update-to-uncorrected-proof
                2020-04-10
                The source code of our program can be downloaded anonymously from our public repository ( http://durrantlab.com/protein-vr/). The accompanying documentation includes instructions for using and compiling the software. Most users will prefer to simply access the working version we have posted at http://durrantlab.com/pvr/.

                Quantitative & Systems biology
                Quantitative & Systems biology

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