UCSF ChimeraX : Tools for structure building and analysis
University of California, San Francisco · University of San Francisco
Abstract
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…
Citation impact
- FWCI
- 828.17
- Percentile
- 100%
- References
- 44
Authors
7- ECElaine C. Meng
University of California, San Francisco, University of San Francisco
- TDThomas D. Goddard
University of California, San Francisco, University of San Francisco
- EFEric F. Pettersen
University of California, San Francisco, University of San Francisco
- GSGreg S. Couch
University of California, San Francisco, University of San Francisco
- ZPZachary Pearson
University of California, San Francisco, University of San Francisco
Topics & keywords
- Computer science
- Chemistry
- Computational biology
- Biology