Protein Science, volume 32, issue 11

UCSF ChimeraX: Tools for Structure Building and Analysis

Publication typeJournal Article
Publication date2023-10-20
Journal: Protein Science
scimago Q1
SJR4.419
CiteScore12.4
Impact factor4.5
ISSN09618368, 1469896X
Biochemistry
Molecular Biology
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 use at https://www.rbvi.ucsf.edu/chimerax.

This article is protected by copyright. All rights reserved.

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