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Recent Citations

The native structure of the assembled matrix protein 1 of influenza A virus. Peukes J, Xiong X et al. Nature. 2020 Nov 19;587(7834):495-498.

Structural basis of GPBAR activation and bile acid recognition. Yang F, Mao C et al. Nature. 2020 Nov 19;587(7834):499-504.

Molecular mechanism for rotational switching of the bacterial flagellar motor. Chang Y, Zhang K et al. Nat Struct Mol Biol. 2020 Nov;27(11):1041-1047.

The coupling mechanism of mammalian respiratory complex I. Kampjut D, Sazanov LA. Science. 2020 Oct 30;370(6516):eabc4209.

In-cell architecture of the nuclear pore and snapshots of its turnover. Allegretti M, Zimmerli CE et al. Nature. 2020 Oct 29;586(7831):796-800.

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News

November 4, 2020

A 1.15 production release candidate is available, including a fix to work with the new PDB fetch locations (see the release notes). Please try it and report any problems.

November 13, 2019

Chimera production release 1.14 is now available. See the release notes for what's new.

September 21, 2019

A production release candidate (version 1.14) is available; please try it and report any problems. See the release notes for what's new.

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Upcoming Events

UCSF Chimera is a program for the interactive visualization and analysis of molecular structures and related data, including density maps, trajectories, and sequence alignments. High-quality images and animations can be generated. Chimera includes complete documentation and is free of charge for academic, government, nonprofit, and personal use. Commercial users, please see Chimera commercial licensing.

Chimera development was supported by the National Institutes of Health (P41-GM103311).

UCSF ChimeraX is the next-generation molecular visualization program from the RBVI, following UCSF Chimera. We encourage Chimera users to try ChimeraX for much better performance with large structures, as well as other major advantages. ChimeraX replaces a significant subset of Chimera features, includes several completely new features, and is under active development. Users may certainly choose to use both programs, and it is fine to have both installed.

Feature Highlight

User-Driven Analysis

User-Driven Analysis

Users can easily import structure-related data into Chimera in the form of attributes, or values associated with atoms, residues, or models. The data can be imported with Define Attribute and then represented visually with color ranges, atomic radii, or "worm" thickness. Such data can also be manipulated programmatically in Chimera, and in fact Chimera was designed with extensibility and programmability in mind. It is largely implemented in Python, with certain features coded in C++ for efficiency. Python is an easy-to-learn interpreted language with object-oriented features. All of Chimera's functionality is accessible through Python and users can implement their own algorithms and extensions without any Chimera code changes, so any such custom extensions will continue to work across Chimera releases. Many programming examples are provided to assist extension writers.

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Gallery Sample

Loop Interactions

The image shows interactions of the delta-1 loop with the rest of hepatitis C virus RNA-dependent RNA polymerase (Protein Data Bank entry 1quv). Loop residues in contact with the rest of the structure (van der Waals overlap ≥ 0.01 Å) are displayed as sticks; interacting surface atoms are shown as red patches. (More samples...)


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