AlphaFold3 is a revolutionary artificial intelligence program developed by DeepMind in 2024, which has made a major breakthrough in the field of protein structure prediction.Accurate structure prediction of biomolecular interactions with AlphaFold 3" and won the Nobel Prize. The database contains a large number of protein and RNA databases that AlphaFold 3 relies on, including 9 databases: BFD small, MGnify, PDB, PDB seqres, UniProt, UniRef90, NT, RFam and RNACentral. Note: The dependency database is up to 630 GB after decompression. To prevent the download process from being interrupted, please ensure that you have enough hard disk space, bandwidth and time to download these databases..

Citation

@article{Abramson2024, author = {Abramson, Josh and Adler, Jonas and Dunger, Jack and Evans, Richard and Green, Tim and Pritzel, Alexander and Ronneberger, Olaf and Willmore, Lindsay and Ballard, Andrew J. and Bambrick, Joshua and Bodenstein, Sebastian W. and Evans, David A. and Hung, Chia-Chun and O'Neill, Michael and Reiman, David and Tunyasuvunakool, Kathryn and Wu, Zachary and Žemgulytė, Akvilė and Arvaniti, Eirini and Beattie, Charles and Bertolli, Ottavia and Bridgland, Alex and Cherepanov, Alexey and Congreve, Miles and Cowen-Rivers, Alexander I. and Cowie, Andrew and Figurnov, Michael and Fuchs, Fabian B. and Gladman, Hannah and Jain, Rishub and Khan, Yousuf A. and Low, Caroline MR and Perlin, Kuba and Potapenko, Anna and Savy, Pascal and Singh, Sukhdeep and Stecula, Adrian and Thillaisundaram, Ashok and Tong, Catherine and Yakneen, Sergei and Zhong, Ellen D. and Zielinski, Michal and Žídek, Augustin and Bapst, Victor and Kohli, Pushmeet and Jaderberg, Max and Hassabis, Demis and Jumper, John M.}, journal = {Nature}, title = {Accurate structure prediction of biomolecular interactions with AlphaFold 3}, year = {2024}, volume = {630}, number = {8016}, pages = {493–-500}, doi = {10.1038/s41586-024-07487-w} }