AlphaFold: Difference between revisions
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The [https://robetta.bakerlab.org/ RoseTTAFold Server] was made freely available. (Open the ''Structure Prediction'' menu at the top and choose ''Submit''. At the form, be sure to check ''RoseTTAFold'' before submitting your job). | The [https://robetta.bakerlab.org/ RoseTTAFold Server] was made freely available. (Open the ''Structure Prediction'' menu at the top and choose ''Submit''. At the form, be sure to check ''RoseTTAFold'' before submitting your job). | ||
==AlphaFold | ==AlphaFold Database of Predictions== | ||
Also in July, 2021, DeepMind made available over 300,000 structure predictions from amino acid sequences in their free [https://alphafold.ebi.ac.uk/ AlphaFold DB]<ref name="deepminddb">[https://deepmind.com/research/case-studies/alphafold#a_treasure_trove We’ve made AlphaFold predictions freely available to anyone in the scientific community] at DeepMind.com (date of release not specified, approximately July 2021).</ref><ref name="afdbebi">[https://www.ebi.ac.uk/pdbe/about/news/alphafold%E2%80%99s-protein-structure-predictions-now-available-explore AlphaFold’s protein structure predictions now available to explore] at the European Bioinformatics Institute, July 23, 2021.</ref><ref name="impacts">[https://www.embl.org/news/science/alphafold-potential-impacts/ Great expectations – the potential impacts of AlphaFold DB] at the European Bioinformatics Institute, July 22, 2021</ref><ref name="human">[https://www.embl.org/news/science/alphafold-database-launch/ DeepMind and EMBL release the most complete database of predicted 3D structures of human proteins] at the European Bioinformatics Institute, July 22, 2021.</ref>. These predictions include all ~20,000 proteins in the human proteome<ref name="human" /><ref name="human-nature">PMID: 34293799</ref>. The limitations of these predictions were enumerated | Also in July, 2021, DeepMind made available over 300,000 structure predictions from amino acid sequences in their free [https://alphafold.ebi.ac.uk/ AlphaFold DB]<ref name="deepminddb">[https://deepmind.com/research/case-studies/alphafold#a_treasure_trove We’ve made AlphaFold predictions freely available to anyone in the scientific community] at DeepMind.com (date of release not specified, approximately July 2021).</ref><ref name="afdbebi">[https://www.ebi.ac.uk/pdbe/about/news/alphafold%E2%80%99s-protein-structure-predictions-now-available-explore AlphaFold’s protein structure predictions now available to explore] at the European Bioinformatics Institute, July 23, 2021.</ref><ref name="impacts">[https://www.embl.org/news/science/alphafold-potential-impacts/ Great expectations – the potential impacts of AlphaFold DB] at the European Bioinformatics Institute, July 22, 2021</ref><ref name="human">[https://www.embl.org/news/science/alphafold-database-launch/ DeepMind and EMBL release the most complete database of predicted 3D structures of human proteins] at the European Bioinformatics Institute, July 22, 2021.</ref>. These predictions include all ~20,000 proteins in the human proteome<ref name="human" /><ref name="human-nature">PMID: 34293799</ref>. The limitations of these predictions were enumerated | ||