How to predict structures with AlphaFold: Difference between revisions
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* 2024<ref name="rfaa">PMID: 38452047</ref>: RosettaFold All-Atom (RFAA) predicts multimers of protein and nucleic acids with ligands. From the Baker team<ref name="rfaa" />. [https://neurosnap.ai/service/RoseTTAFold%20All-Atom A free server limited to very small numbers of jobs is available from Neurosnap]. | * 2024<ref name="rfaa">PMID: 38452047</ref>: RosettaFold All-Atom (RFAA) predicts multimers of protein and nucleic acids with ligands. From the Baker team<ref name="rfaa" />. [https://neurosnap.ai/service/RoseTTAFold%20All-Atom A free server limited to very small numbers of jobs is available from Neurosnap]. | ||
* 2024 update? [https://colab.research.google.com/github/sokrypton/ColabFold/blob/main/AlphaFold2.ipynb ColabFold AlphaFold2 and AlphaFold-multimer] predicts multiple chain complexes. Easy to use. From | * 2024 update? [https://colab.research.google.com/github/sokrypton/ColabFold/blob/main/AlphaFold2.ipynb ColabFold AlphaFold2 and AlphaFold-multimer] predicts multiple chain complexes. Easy to use. From Mirdita ''et al.''<ref name="colabfold" /> | ||
* 2024<ref name="combfold">PMID: 38326495</ref>: [https://neurosnap.ai/service/CombFold CombFold] predicts the structures of large protein complexes from subunit sequences using AlphaFold Multimer paired with a combinatorial method to assemble subunits. From Shor and Schneidman-Duhovny<ref name="combfold" />. | * 2024<ref name="combfold">PMID: 38326495</ref>: [https://neurosnap.ai/service/CombFold CombFold] predicts the structures of large protein complexes from subunit sequences using AlphaFold Multimer paired with a combinatorial method to assemble subunits. From Shor and Schneidman-Duhovny<ref name="combfold" />. | ||
