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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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“The structures were assembled in ChimeraX 105 , modelled and re fi ned in Isolde 106 , followed by B-factor and global minimization re fi ne-ments in Phenix 107 .”
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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)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.