How to predict structures with AlphaFold: Difference between revisions

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* 2024<ref name="af3" />: [https://alphafoldserver.com AlphaFoldServer.Com]. Using AlphaFold3, predicts homo- and hetro-multimers involving protein, DNA, RNA, ligands, and modified residues. Straightforward to use; Guide and FAQ provided. Predictions are templated without user control (see FAQ). Free for non-commercial use -- see [https://alphafoldserver.com/terms Terms of Service] and [https://alphafoldserver.com/output-terms Output Terms of Use]. From the DeepMind team<ref name="af3" />.
* 2024<ref name="af3" />: [https://alphafoldserver.com AlphaFoldServer.Com]. Using AlphaFold3, predicts homo- and hetro-multimers involving protein, DNA, RNA, ligands, and modified residues. Straightforward to use; Guide and FAQ provided. Predictions are templated without user control (see FAQ). Free for non-commercial use -- see [https://alphafoldserver.com/terms Terms of Service] and [https://alphafoldserver.com/output-terms Output Terms of Use]. From the DeepMind team<ref name="af3" />.
**If you get <font color="red"><b>Invalid character</b></font> after pasting in your sequence, try removing the breaks between lines.
**If you get <font color="red"><b>Invalid character</b></font> after pasting in your sequence, try removing the breaks between lines.
**Predicted models are in [[Mmcif format|mmCIF format]] only. To convert to [[PDB format]] for use in [[FirstGlance in Jmol|FirstGlance]] (which colors by confidence/pLDDT automatically), see [[Converting AlphaFold3 CIF to PDB]].
**Predicted models are in [[Mmcif format|mmCIF format]] only. When visualized in [http://firstglance.jmol.org FirstGlance in Jmol], coloring by confidence/pLDDT is automatic. [[Converting AlphaFold3 CIF to PDB|More information about .cif and FirstGlance]].
**To easily obtain average [[pLDDT]] (predicted confidence) for a range of residues, see [[FirstGlance/How to get average pLDDT from AlphaFold models]].
**To easily obtain average [[pLDDT]] (predicted confidence) for a range of residues, see [[FirstGlance/How to get average pLDDT from AlphaFold models]].
**Chain ID assignments differ from those of empirical wwPDB files: see [[Chains_and_Chain_IDs#AlphaFold3_Chain_IDs|AlphaFold3 Chain IDs]].
**See also [[#Visualizing Predicted Structures]] and [[User:Eric Martz/AlphaFold3 case studies|AlphaFold3 case studies]].
**See also [[#Visualizing Predicted Structures]] and [[User:Eric Martz/AlphaFold3 case studies|AlphaFold3 case studies]].


* 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<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 cominatorial method to assemble subunits. From Shor and Schneidman-Duhovny<ref name="combfold" />.
* 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" />.


* 2022<ref name="colabfold">PMID: 35637307</ref>: [https://colab.research.google.com/github/sokrypton/ColabFold/blob/main/beta/AlphaFold2_advanced.ipynb ColabFold AlphaFold2_advanced]. Predicts homo- and hetero-multimers using methods from the Steinegger/Mirdita team<ref name="colabfold" /><ref name="colabfold2024">PMID: 39402428</ref>, before AlphaFold-multimer<ref name="afmultimer">[https://www.biorxiv.org/content/10.1101/2021.10.04.463034v1.full Protein complex prediction with AlphaFold-Multimer], Preprint, Evans et al. 2021.</ref> was available. Does NOT use templates. [https://www.ebi.ac.uk/training/online/courses/alphafold/accessing-and-predicting-protein-structures-with-alphafold/predicting-protein-structures-with-colabfold-and-alphafold-colab/ See Instructions from EMBL-EBI].
* 2022<ref name="colabfold">PMID: 35637307</ref>: [https://colab.research.google.com/github/sokrypton/ColabFold/blob/main/beta/AlphaFold2_advanced.ipynb ColabFold AlphaFold2_advanced]. Predicts homo- and hetero-multimers using methods from the Steinegger/Mirdita team<ref name="colabfold" /><ref name="colabfold2024">PMID: 39402428</ref>, before AlphaFold-multimer<ref name="afmultimer">[https://www.biorxiv.org/content/10.1101/2021.10.04.463034v1.full Protein complex prediction with AlphaFold-Multimer], Preprint, Evans et al. 2021.</ref> was available. Does NOT use templates. [https://www.ebi.ac.uk/training/online/courses/alphafold/accessing-and-predicting-protein-structures-with-alphafold/predicting-protein-structures-with-colabfold-and-alphafold-colab/ See Instructions from EMBL-EBI].
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[http://firstglance.jmol.org FirstGlance in Jmol] automatically colors its initial view of uploaded AlphaFold or RoseTTAFold models by estimated confidence [[pLDDT]] ('''{{Font color|blue|blue for high confidence}}, {{Font color|red|red for low confidence}}'''). After you go to other views or tools, you can always get back to this color scheme by clicking ''Reliability Estimates'' in the ''Views'' tab.
[http://firstglance.jmol.org FirstGlance in Jmol] automatically colors its initial view of AlphaFold or RoseTTAFold models by estimated confidence [[pLDDT]] ('''{{Font color|blue|blue for high confidence}}, {{Font color|red|red for low confidence}}'''). After you go to other views or tools, you can always get back to this color scheme by clicking ''Reliability Estimates'' in the ''Views'' tab.


*[[iCn3D]] automatically colors AlphaFold2 Database models loaded from their UniProt IDs. For AlphaFold files opened from your computer, use pLDDT on the pull-down Color menu.
*[[iCn3D]] automatically colors AlphaFold2 Database models loaded from their UniProt IDs. For AlphaFold files opened from your computer, use pLDDT on the pull-down Color menu.
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[http://firstglance.jmol.org/where.htm#uploading Upload] your predicted PDB file to [http://firstglance.jmol.org FirstGlance.Jmol.Org], which has many [http://firstglance.jmol.org/whatis.htm#unique unique conveniences and capabilities].
[http://firstglance.jmol.org/where.htm#uploading Upload] your predicted PDB file to [http://firstglance.jmol.org FirstGlance.Jmol.Org], which has many [http://firstglance.jmol.org/whatis.htm#unique unique conveniences and capabilities].


You can easily visualize
When using [http://FirstGlance.jmol.org FirstGlance], it is easy to visualize
* Estimated confidence/pLDDT by touching an atom
* Estimated confidence/pLDDT by touching an atom
* '''Average confidence/pLDDT''' ("reliability") for the entire model, or for [[FirstGlance/How to get average pLDDT from AlphaFold models|a specified sequence range]].
* '''Average confidence/pLDDT''' ("reliability") for the entire model, or for [[FirstGlance/How to get average pLDDT from AlphaFold models|a specified sequence range]].
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==See Also==
==See Also==
*[[AlphaFold/Index]], a list of pages in Proteopedia about Alphafold.
*[[AlphaFold/Index]], a list of pages in Proteopedia about Alphafold.
*[[User:Eric Martz/AlphaFold3 case studies|AlphaFold3 case studies]] includes a case that AlphaFold3 cannot predict.
*[[How To Find A Structure]]
*[[How To Find A Structure]]
*[[Missing residues and incomplete sidechains]]
*[[Missing residues and incomplete sidechains]]
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