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Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).
(https://doi.org/10.1038/s41586-021-03819-2)
Evans, R. et al. Protein complex prediction with AlphaFold-Multimer. Preprint at bioRxiv (2021).
(https://doi.org/10.1101/2021.10.04.463034)
Bryant, P., Pozzati, G. & Elofsson, A. Improved prediction of protein-protein interactions using AlphaFold2. Nat Commun 13, 1265 (2022).
(https://doi.org/10.1038/s41467-022-28865-w)
Jiyao Wang, Philippe Youkharibache, Dachuan Zhang, Christopher J Lanczycki, Renata C Geer, Thomas Madej, Lon Phan, Minghong Ward, Shennan Lu, Gabriele H Marchler, Yanli Wang, Stephen H Bryant, Lewis Y Geer, Aron Marchler-Bauer, iCn3D, a web-based 3D viewer for sharing 1D/2D/3D representations of biomolecular structures, Bioinformatics, Volume 36, Issue 1, 1 January 2020, Pages 131–135,
(https://doi.org/10.1093/bioinformatics/btz502)
Wang J, Youkharibache P, Marchler-Bauer A, Lanczycki C, Zhang D, Lu S, Madej T, Marchler GH, Cheng T, Chong LC, Zhao S, Yang K, Lin J, Cheng Z, Dunn R, Malkaram SA, Tai C-H, Enoma D, Busby B, Johnson NL, Tabaro F, Song G and Ge Y (2022) iCn3D: From Web-Based 3D Viewer to Structural Analysis Tool in Batch Mode. Front. Mol. Biosci. 9:831740.
(https://doi.org/10.3389/fmolb.2022.831740)

AlphaFold2 is available under the Apache License, Version 2.0.
FoldDock is available under the Apache License, Version 2.0.
The AlphaFold parameters are made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You can find the details at: Creative Commons Attribution-ShareAlike 4.0 International License.
BFD (unmodified), by Steinegger M. and Söding J., available under a Creative Commons Attribution-ShareAlike 4.0 International License.
BFD (modified), by Steinegger M. and Söding J., modified by DeepMind, available under a Creative Commons Attribution-ShareAlike 4.0 International License. See the Methods section of the AlphaFold proteome paper for details.
Uniref30: v2021_03 (unmodified), by Mirdita M. et al., available under the Creative Commons Attribution-ShareAlike 4.0 International License.
MGnify: v2022_05 (unmodified), by Mitchell AL et al., available free of all copyright restrictions and made fully and freely available for both non-commercial and commercial use under CC0 1.0 Universal (CC0 1.0) Public Domain Dedication.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0