about projects people publications resources resources visit us visit us search search

Quick Links

Featured Citations

Broadly inhibitory antibodies to severe malaria virulence proteins. Reyes RA, Raghavan SSR et al. Nature. 2024 Dec 5;635(8041):182–189.

Anti-viral defence by an mRNA ADP-ribosyltransferase that blocks translation. Vassallo CN, Doering CR, Laub MT. Nature. 2024 Dec 5;635(8041):190–197.

Molecular basis of mRNA delivery to the bacterial ribosome. Webster MW, Chauvier A et al. Science. 2024 Nov 29;386(6725):eado8476.

Design of customized coronavirus receptors. Liu P, Huang ML et al. Nature. 2024 Nov 28;635(8040):978–986.

Specific tRNAs promote mRNA decay by recruiting the CCR4-NOT complex to translating ribosomes. Zhu X, Cruz VE et al. Science. 2024 Nov 22;386(6724):eadq8587.

More citations...

News

October 14, 2024

Planned downtime: The ChimeraX website, Toolshed, web services (Blast Protein, Modeller, ...) and cgl.ucsf.edu e-mail will be unavailable starting Monday, Oct 14 10 AM PDT, continuing throughout the week and potentially the weekend (Oct 14-20).

August 1, 2024

Planned downtime: The ChimeraX website, Toolshed, web services (Blast Protein, Modeller, ...) and cgl.ucsf.edu e-mail will be unavailable August 1, 3-6 pm PDT.

June 17-18, 2024

Planned downtime: The ChimeraX website, Toolshed, web services (Blast Protein, Modeller, ...) and cgl.ucsf.edu e-mail will be unavailable June 17-18 PDT.

Previous news...

Upcoming Events


UCSF ChimeraX

UCSF ChimeraX (or simply ChimeraX) is the next-generation molecular visualization program from the Resource for Biocomputing, Visualization, and Informatics (RBVI), following UCSF Chimera. ChimeraX can be downloaded free of charge for academic, government, nonprofit, and personal use. Commercial users, please see ChimeraX commercial licensing.

ChimeraX is developed with support from National Institutes of Health R01-GM129325, Chan Zuckerberg Initiative grant EOSS4-0000000439, and the Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases.

Feature Highlight

mitochondrial import receptor subunit TOMM40

AlphaFold Fetch

AlphaFold is an artificial intelligence method for predicting protein structures. With the AlphaFold tool or command, ChimeraX can search for and load predicted structures from the freely available AlphaFold Database, automatically coloring them by confidence value:

  • 100
    to 90
    – high accuracy
  • 90
    to 70
    – backbone accuracy
  • 70
    to 50
    – low confidence, caution
  • 50
    to 0
    – should not be interpreted, may be disordered

The figure shows the predicted structure of UniProt entry TOM40_HUMAN, a channel protein needed to import other proteins into mitochondria. See the command file tom40.cxc for fetching data and other setup (background color, etc.).

Opening a sequence from UniProt also opens a dialog in which its annotations or “features” can be clicked to highlight those regions in both the sequence and the associated 3D structure. The low-confidence part of this structure (orange and red) maps to compositionally biased and likely disordered regions near the N-terminus of the sequence.

More features...

Example Image

neuraminidase flowers

Potassium Channel-Calmodulin Complex

KCNQ1 is the pore-forming subunit of a cardiac potassium channel. It binds to calmodulin, and mutations in either of these proteins can cause congenital long QT syndrome, a dangerous propensity for irregular heartbeats. In the image, a structure of the KCNQ1/calmodulin complex (PDB 5vms) has been assembled into the native tetrameric form with the sym command. The view is from the cytoplasmic side, with KCNQ1 shown as surfaces, calmodulin as cartoons, and calcium ions as balls. A pastel palette from ColorBrewer has been used to color the surfaces, darkened with color modify for the cartoons, and “rotated” 45° in hue for the ions. See the command file colormod.cxc.

More images...



About RBVI | Projects | People | Publications | Resources | Visit Us

Copyright 2018 Regents of the University of California. All rights reserved.