Publication details

Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures

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Authors

SEHNAL David BITTRICH S. DESHPANDE M. SVOBODOVÁ Radka BERKA K. BAZGIER V. VELANKAR S. BURLEY S.K. KOČA Jaroslav ROSE A.S.

Year of publication 2021
Type Article in Periodical
Magazine / Source Nucleic acids research
MU Faculty or unit

Central European Institute of Technology

Citation
web https://academic.oup.com/nar/article/49/W1/W431/6270780#267023333
Doi http://dx.doi.org/10.1093/nar/gkab314
Keywords MOLECULAR-DYNAMICSDATABASE
Description Large biomolecular structures are being determined experimentally on a daily basis using established techniques such as crystallography and electron microscopy. In addition, emerging integrative or hybrid methods (I/HM) are producing structural models of huge macromolecular machines and assemblies, sometimes containing 100s of millions of non-hydrogen atoms. The performance requirements for visualization and analysis tools delivering these data are increasing rapidly. Significant progress in developing online, web-native three-dimensional (3D) visualization tools was previously accomplished with the introduction of the LiteMol suite and NGL Viewers. Thereafter, Mol* development was jointly initiated by PDBe and RCSB PDB to combine and build on the strengths of LiteMol (developed by PDBe) and NGL (developed by RCSB PDB). The web-native Mol* Viewer enables 3D visualization and streaming of macromolecular coordinate and experimental data, together with capabilities for displaying structure quality, functional, or biological context annotations. High-performance graphics and data management allows users to simultaneously visualise up to hundreds of (superimposed) protein structures, stream molecular dynamics simulation trajectories, render cell-level models, or display huge I/HM structures. It is the primary 3D structure viewer used by PDBe and RCSB PDB. It can be easily integrated into third-party services. Mol* Viewer is open source and freely available at https://molstar.org/.
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