A Virtual and Mixed Reality Platform for Molecular Design & Drug Discovery - Nanome Version 1.24
dc.contributor.author | Bennie, Simon J. | en_US |
dc.contributor.author | Maritan, Martina | en_US |
dc.contributor.author | Gast, Jonathon | en_US |
dc.contributor.author | Loschen, Marc | en_US |
dc.contributor.author | Gruffat, Daniel | en_US |
dc.contributor.author | Bartolotta, Roberta | en_US |
dc.contributor.author | Hessenauer, Sam | en_US |
dc.contributor.author | Leija, Edgardo | en_US |
dc.contributor.author | McCloskey, Steve | en_US |
dc.contributor.editor | Byška, Jan | en_US |
dc.contributor.editor | Krone, Michael | en_US |
dc.contributor.editor | Sommer, Björn | en_US |
dc.date.accessioned | 2023-06-10T05:49:34Z | |
dc.date.available | 2023-06-10T05:49:34Z | |
dc.date.issued | 2023 | |
dc.identifier.isbn | 978-3-03868-225-7 | |
dc.identifier.uri | https://doi.org/10.2312/molva.20231114 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/molva20231114 | |
dc.description.abstract | The 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.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Computing methodologies -> Mixed / augmented reality; Virtual reality; Applied computing -> Molecular structural biology; Human-centered computing -> Scientific visualization; Visualization design and evaluation methods | |
dc.subject | Computing methodologies | |
dc.subject | Mixed / augmented reality | |
dc.subject | Virtual reality | |
dc.subject | Applied computing | |
dc.subject | Molecular structural biology | |
dc.subject | Human | |
dc.subject | centered computing | |
dc.subject | Scientific visualization | |
dc.subject | Visualization design and evaluation methods | |
dc.title | A Virtual and Mixed Reality Platform for Molecular Design & Drug Discovery - Nanome Version 1.24 | en_US |
dc.description.seriesinformation | Workshop on Molecular Graphics and Visual Analysis of Molecular Data | |
dc.identifier.doi | 10.2312/molva.20231114 | |
dc.identifier.pages | 1-8 | |
dc.identifier.pages | 8 pages |
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MolVa: Workshop on Molecular Graphics and Visual Analysis of Molecular Data 2023
ISBN 978-3-03868-225-7