MolVa: Workshop on Molecular Graphics and Visual Analysis of Molecular Data 2023

Permanent URI for this collection

A Virtual and Mixed Reality Platform for Molecular Design & Drug Discovery - Nanome Version 1.24
Simon J. Bennie, Martina Maritan, Jonathon Gast, Marc Loschen, Daniel Gruffat, Roberta Bartolotta, Sam Hessenauer, Edgardo Leija, and Steve McCloskey

BibTeX (MolVa: Workshop on Molecular Graphics and Visual Analysis of Molecular Data 2023)
@inproceedings{
10.2312:molva.20232011,
booktitle = {
Workshop on Molecular Graphics and Visual Analysis of Molecular Data},
editor = {
Byška, Jan
 and
Krone, Michael
 and
Sommer, Björn
}, title = {{
MolVa 2023: Frontmatter}},
author = {
Byška, Jan
 and
Krone, Michael
 and
Sommer, Björn
}, year = {
2023},
publisher = {
The Eurographics Association},
ISBN = {978-3-03868-225-7},
DOI = {
10.2312/molva.20232011}
}
@inproceedings{
10.2312:molva.20231114,
booktitle = {
Workshop on Molecular Graphics and Visual Analysis of Molecular Data},
editor = {
Byška, Jan
 and
Krone, Michael
 and
Sommer, Björn
}, title = {{
A Virtual and Mixed Reality Platform for Molecular Design & Drug Discovery - Nanome Version 1.24}},
author = {
Bennie, Simon J.
 and
Maritan, Martina
 and
Gast, Jonathon
 and
Loschen, Marc
 and
Gruffat, Daniel
 and
Bartolotta, Roberta
 and
Hessenauer, Sam
 and
Leija, Edgardo
 and
McCloskey, Steve
}, year = {
2023},
publisher = {
The Eurographics Association},
ISBN = {978-3-03868-225-7},
DOI = {
10.2312/molva.20231114}
}

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  • Item
    MolVa 2023: Frontmatter
    (The Eurographics Association, 2023) Byška, Jan; Krone, Michael; Sommer, Björn; Byška, Jan; Krone, Michael; Sommer, Björn
  • Item
    A Virtual and Mixed Reality Platform for Molecular Design & Drug Discovery - Nanome Version 1.24
    (The Eurographics Association, 2023) Bennie, Simon J.; Maritan, Martina; Gast, Jonathon; Loschen, Marc; Gruffat, Daniel; Bartolotta, Roberta; Hessenauer, Sam; Leija, Edgardo; McCloskey, Steve; Byška, Jan; Krone, Michael; Sommer, Björn
    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.