The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
UCSF ChimeraX: Structure visualization for researchers, educators, and developers
Open accessAbstract
UCSF ChimeraX is the next‐generation interactive visualization program from the Resource for Biocomputing, Visualization, and Informatics (RBVI), following UCSF Chimera. ChimeraX brings (a) significant performance and graphics enhancements; (b) new implementations of Chimera's most highly used tools, many with further improvements; (c) several entirely new analysis features; (d) support for new areas such as virtual reality, light‐sheet microscopy, and medical imaging data; (e) major ease‐of‐use advances, including toolbars with icons to perform actions with a single click, basic “undo” capabilities, and more logical and consistent commands; and (f) an app store for researchers to contribute new tools. ChimeraX includes full user documentation and is free for noncommercial use, with downloads available for Windows, Linux, and macOS from https://www.rbvi.ucsf.edu/chimerax.
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Cites
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Metadata
- Authors
- Pettersen, E. F., Goddard, T. D., Huang, C. C., Meng, E. C., Couch, G. S., Croll, T. I., Morris, J. H., & Ferrin, T. E.
- Venue
- Protein Science
- Publisher
- Wiley
- Published
- 2020-10-22
- Volume
- 30
- Issue
- 1
- Pages
- 70-82
- ISSN
- 0961-8368 (ISSN-L)
- 1469-896X
- OpenAlex
- W3083406432
- Cited by
- 9,514
- References
- 5
- FWCI
- 328.06
- Type
- journal article
- Language
- en
- Open access
- bronze
- Funders
- National Institute of Allergy and Infectious Diseases
- National Institute of General Medical Sciences (R01‐GM129325)
- Wellcome Trust (209407/Z/17/Z)
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- CoChat. (2026). Citation check: UCSF ChimeraX: Structure visualization for researchers, educators, and developers. https://app.cochat.ai/papers/10.1002/pro.3943
- The paper
- Pettersen, E. F., Goddard, T. D., Huang, C. C., Meng, E. C., Couch, G. S., Croll, T. I., Morris, J. H., & Ferrin, T. E. (2021). UCSF ChimeraX: Structure visualization for researchers, educators, and developers. Protein Science. https://doi.org/10.1002/pro.3943
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
