Mesoscale explorer: Visual exploration of large‐scale molecular models

The advent of cryo‐electron microscopy (cryo‐EM) and cryo‐electron tomography (cryo‐ET), coupled with computational modeling, has enabled the creation of integrative 3D models of viruses, bacteria, and cellular organelles. These models, composed of thousands of macromolecules and billions of atoms,...

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Bibliographic Details
Published in:Protein science 2024-10, Vol.33 (10), p.e5177-n/a
Main Authors: Rose, Alexander, Sehnal, David, Goodsell, David S., Autin, Ludovic
Format: Article
Language:English
Subjects:
3D animation
Applications programs
Cell culture
Cryoelectron Microscopy - methods
Electron microscopy
interactive tours
mesoscale models
Mesoscale phenomena
Models, Molecular
molecular graphism
Molecular modelling
Organelles
Software
Three dimensional models
Tools for Protein Science
Viruses - chemistry
Viruses - ultrastructure
Visualization
web‐based 3D visualization
Citations: Items that this one cites
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Summary:The advent of cryo‐electron microscopy (cryo‐EM) and cryo‐electron tomography (cryo‐ET), coupled with computational modeling, has enabled the creation of integrative 3D models of viruses, bacteria, and cellular organelles. These models, composed of thousands of macromolecules and billions of atoms, have historically posed significant challenges for manipulation and visualization without specialized molecular graphics tools and hardware. With the recent advancements in GPU rendering power and web browser capabilities, it is now feasible to render interactively large molecular scenes directly on the web. In this work, we introduce Mesoscale Explorer, a web application built using the Mol* framework, dedicated to the visualization of large‐scale molecular models ranging from viruses to cell organelles. Mesoscale Explorer provides unprecedented access and insight into the molecular fabric of life, enhancing perception, streamlining exploration, and simplifying visualization of diverse data types, showcasing the intricate details of these models with unparalleled clarity.
ISSN:0961-8368
1469-896X
1469-896X
DOI:10.1002/pro.5177