Template:AlphaFold

Underlying Data

This file is licensed under the Creative Commons Attribution 4.0 International license.

Attribution: AlphaFold DB - Google DeepMind and EMBL’s European Bioinformatics Institute (EMBL-EBI)

You are free:

to share – to copy, distribute and transmit the work
to remix – to adapt the work

Under the following conditions:

attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

If you use this resource, please cite the following papers:
J et al. Highly accurate protein structure prediction with AlphaFold. Nature (2021).
Varadi, M et al. AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences. Nucleic Acids Research (2024).

If you use data from AlphaMissense in your work, please cite the following paper:
Cheng, J et al. Accurate proteome-wide missense variant effect prediction with AlphaMissense. Science (2023).

Visualization

This file is in the public domain because it is the work of a computer algorithm or artificial intelligence and does not contain sufficient human authorship to support a copyright claim.

The United Kingdom (legislation) and Hong Kong (legislation) provide a limited term of copyright protection for computer-generated works of 50 years from creation.

Legal disclaimer
Most -generating AI models were trained using works that are protected by copyright. In some cases, such assets and models can produce that contain major copyrightable elements of those copyrighted training images, making these outputs derivative works. Accordingly, there is a risk that AI-generated art uploaded on Commons may violate the rights of the authors of the original works. See Commons:AI-generated media for additional details.

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