Abstract

Abstract UCSF ChimeraX is next‐generation software for the visualization and analysis of molecular structures, density maps, 3D microscopy, and associated data. It addresses challenges in the size, scope, and disparate types of data attendant with cutting‐edge experimental methods, while providing advanced options for high‐quality rendering (interactive ambient occlusion, reliable molecular surface calculations, etc.) and professional approaches to software design and distribution. This article highlights some specific advances in the areas of visualization and usability, performance, and extensibility. ChimeraX is free for noncommercial use and is available from http://www.rbvi.ucsf.edu/chimerax / for Windows, Mac, and Linux.

Keywords

VisualizationData scienceComputer scienceComputational biologyComputer graphics (images)BiologyArtificial intelligence

MeSH Terms

ImagingThree-DimensionalMolecular StructureSoftware

Affiliated Institutions

Related Publications

Publication Info

Year
2017
Type
article
Volume
27
Issue
1
Pages
14-25
Citations
5333
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

5333
OpenAlex
293
Influential
5066
CrossRef

Cite This

Thomas D. Goddard, Conrad C. Huang, Elaine C. Meng et al. (2017). UCSF ChimeraX: Meeting modern challenges in visualization and analysis. Protein Science , 27 (1) , 14-25. https://doi.org/10.1002/pro.3235

Identifiers

DOI
10.1002/pro.3235
PMID
28710774
PMCID
PMC5734306

Data Quality

Data completeness: 90%