The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
UCSF ChimeraX: Tools for structure building and analysis
Open accessAbstract
Advances in computational tools for atomic model building are leading to accurate models of large molecular assemblies seen in electron microscopy, often at challenging resolutions of 3–4 Å. We describe new methods in the UCSF ChimeraX molecular modeling package that take advantage of machine‐learning structure predictions, provide likelihood‐based fitting in maps, and compute per‐residue scores to identify modeling errors. Additional model‐building tools assist analysis of mutations, post‐translational modifications, and interactions with ligands. We present the latest ChimeraX model‐building capabilities, including several community‐developed extensions. ChimeraX is available free of charge for noncommercial use at https://www.rbvi.ucsf.edu/chimerax.
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Cites
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Metadata
- Authors
- Meng, E. C., Goddard, T. D., Pettersen, E. F., Couch, G. S., Pearson, Z. J., Morris, J. H., & Ferrin, T. E.
- Venue
- Protein Science
- Publisher
- Wiley
- Published
- 2023-10-20
- Volume
- 32
- Issue
- 11
- Pages
- e4792-e4792
- ISSN
- 0961-8368 (ISSN-L)
- 1469-896X
- OpenAlex
- W4387164156
- Cited by
- 4,442
- References
- 7
- FWCI
- 393.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Funders
- National Institutes of Health (R24 GM141254, R01 GM129325)
- Chan Zuckerberg Initiative (EOSS4‐0000000439)
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