Supported Applications
AlphaFold
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Description
an implementation of the inference pipeline of AlphaFold v2.0 using a completely new model that was entered in CASP14.
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Usage
To list all executables provided by AlphaFold, run:$ biogrids-list alphafold
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Usage Notes
AlphaFold requires a set of parameters and genetic databases that must be downloaded separately. See https://github.com/deepmind/alphafold#genetic-databases for more information.
These parameters and databases can be downloaded with the included download script and the aria2c program, both of which are available in the SBGrid collection. Note that these databases are large in size (> 2Tb) and may require a significant amount of time to download.
Note that while the AlphaFold code is licensed under the open source Apache 2.0 License, the AlphaFold parameters are made available for non-commercial use only under the terms of the CC BY-NC 4.0 license. Please see the Disclaimer at https://github.com/deepmind/alphafold#license-and-disclaimer.
Please see https://sbgrid.org//wiki/examples/alphafold2 for more information about using alphafold in SBGrid and BioGrids.
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Installation
Use the following command to install this title with the CLI client:$ biogrids-cli install alphafold
Available operating systems: Linux 64 -
Primary Citation*
J. Jumper, R. Evans, A. Pritzel, T. Green, M. Figurnov, O. Ronneberger, K. Tunyasuvunakool, R. Bates, A. Žídek, A. Potapenko, A. Bridgland, C. Meyer, S. A. A. Kohl, A. J. Ballard, A. Cowie, B. Romera-Paredes, S. Nikolov, R. Jain, J. Adler, T. Back, S. Petersen, D. Reiman, E. Clancy, M. Zielinski, M. Steinegger, M. Pacholska, T. Berghammer, S. Bodenstein, D. Silver, O. Vinyals, A. W. Senior, K. Kavukcuoglu, P. Kohli, and D. Hassabis. 2021. Highly accurate protein structure prediction with AlphaFold. Nature.
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*Full citation information available through
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Webinars
Presenter: Tom Goddard, UCSF Resource for Biocomputing, Visualization, and Informatics - Topic: Using AlphaFold protein structures in ChimeraX for cryoEM modeling
Linked to presented materials: https://www.rbvi.ucsf.edu/chimerax/data/sbgrid-mar2022/alphafold_pae.html
Learn more on the ChimeraX website:
https://www.rbvi.ucsf.edu/chimerax/data/alphafold-nov2021/af_sbgrid.html
This talk was presented as part of the SBGrid Spring Mini-series - Cryo-electron microscopy of membrane proteins: from sample to structure. See the full series lineup at https://sbgrid.org/webinars/
Organized by
Prof. Jamaine Davis, Meharry Medical College
Prof. Piotr Sliz, Harvard Medical School
Prof. Patrick Sexton, ARC Centre for Cryo-electron Microscopy of Membrane Proteins, Monash University
Recorded on March 29, 2022Topic: Using AlphaFold protein structures in ChimeraX for cryoEM modeling
Presenter: Tom Goddard, UCSF Resource for Biocomputing, Visualization, and Informatics
Q&A session also includes Shaun Rawson, who presented during this session on "Effective on-the-fly and downstream processing of CryoEM data." See https://youtu.be/ra2sVFEPtN8
Learn more on the ChimeraX website:
https://www.rbvi.ucsf.edu/chimerax/data/alphafold-nov2021/af_sbgrid.html
This talk was presented as part of the SBGrid Australasian III Mini-series - CryoEM: from Sample to Structure and should appeal to both novice and expert structural biologists.
See the full mini-series lineup at https://sbgrid.org/news/sbgrid-university-otago-webinar-series.
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Keywords
Machine Learning, Protein-Protein Interaction Prediction, Protein Structure Analysis
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Default Versions
Linux 64:  3.0.0_20241202_aa724ca (6.3 GB)
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Other Versions
Linux 64:
2.1.2 (9.0 GB) , 2.2.0 (9.8 GB) , 2.2.2 (3.8 GB) , 2.2.3 (4.3 GB) , 2.2.4 (3.9 GB) , 2.3.0 (4.0 GB) , 2.3.1 (4.0 GB) , 2.3.2 (4.0 GB) , 2.3.2_20241024 (5.3 GB) , 3.0.0 (6.3 GB)
Developers
Tom Ward, Augustin Zidek, Saran Tunyasuvunakool, John Jumper, Demis Hassabis