A Virtual and Mixed Reality Platform for Molecular Design & Drug Discovery - Nanome Version 1.24

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dc.contributor.authorBennie, Simon J.en_US
dc.contributor.authorMaritan, Martinaen_US
dc.contributor.authorGast, Jonathonen_US
dc.contributor.authorLoschen, Marcen_US
dc.contributor.authorGruffat, Danielen_US
dc.contributor.authorBartolotta, Robertaen_US
dc.contributor.authorHessenauer, Samen_US
dc.contributor.authorLeija, Edgardoen_US
dc.contributor.authorMcCloskey, Steveen_US
dc.contributor.editorByška, Janen_US
dc.contributor.editorKrone, Michaelen_US
dc.contributor.editorSommer, Björnen_US
dc.date.accessioned2023-06-10T05:49:34Z
dc.date.available2023-06-10T05:49:34Z
dc.date.issued2023
dc.description.abstractThe success of the design and improvement of nanoscale biomolecules like proteins and small molecule drugs relies on a proper understanding of their three-dimensional structures. Nanome's virtual reality/mixed reality (VR/MR) platform provides an immersive and collaborative environment that offers a unique view into the nanoscale world. The platform enables faster and more effective ideation, improved communication of scientific concepts, and multiple tools for lead optimization of molecules. The latest 1.24 version of the Nanome platform integrates multi-user collaboration, mixed reality, enhanced avatars, and a flexible Python API for easy integration with various modeling techniques. We describe key elements of this state-of-the-art framework and how it can accelerate the pace of discovery through empowering industry-standard algorithms across domains of digital science. Nanome is available for download at https://home.nanome.ai/setup.en_US
dc.description.seriesinformationWorkshop on Molecular Graphics and Visual Analysis of Molecular Data
dc.identifier.doi10.2312/molva.20231114
dc.identifier.isbn978-3-03868-225-7
dc.identifier.pages1-8
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/molva.20231114
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/molva20231114
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Mixed / augmented reality; Virtual reality; Applied computing -> Molecular structural biology; Human-centered computing -> Scientific visualization; Visualization design and evaluation methods
dc.subjectComputing methodologies
dc.subjectMixed / augmented reality
dc.subjectVirtual reality
dc.subjectApplied computing
dc.subjectMolecular structural biology
dc.subjectHuman
dc.subjectcentered computing
dc.subjectScientific visualization
dc.subjectVisualization design and evaluation methods
dc.titleA Virtual and Mixed Reality Platform for Molecular Design & Drug Discovery - Nanome Version 1.24en_US
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MolVa: Workshop on Molecular Graphics and Visual Analysis of Molecular Data 2023