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CAMEO - Perspectives on the future of fully automated evaluation of structure prediction methods
  • +2
  • Xavier Robin,
  • Juergen Haas,
  • Rafal Gumienny,
  • Gerardo Tauriello,
  • Torsten Schwede
Xavier Robin
Swiss Institute of Bioinformatics
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Juergen Haas
Swiss Institute of Bioinformatics
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Rafal Gumienny
Swiss Institute of Bioinformatics
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Gerardo Tauriello
Swiss Institute of Bioinformatics
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Torsten Schwede
University of Basel
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The Continuous Automated Model EvaluatiOn (CAMEO) platform complements the biennial CASP experiment by conducting fully automated blind evaluations of 3D protein prediction servers based on the weekly pre‐release of sequences of those structures, which are going to be published in the upcoming release of the Protein Data Bank (PDB). While in CASP14 significant success was observed in predicting the structures of individual protein chains with high accuracy, significant challenges remain in correctly predicting the structures of complexes. By implementing fully automated evaluation of predictions for protein-protein complexes, as well as for proteins in complex with ligands, peptides, nucleic acids, or proteins containing non-canonical amino acid residues, CAMEO will assist new developments in those challenging areas of active research.

Peer review status:IN REVISION

28 May 2021Submitted to PROTEINS: Structure, Function, and Bioinformatics
31 May 2021Assigned to Editor
31 May 2021Submission Checks Completed
01 Jun 2021Reviewer(s) Assigned
11 Jun 2021Review(s) Completed, Editorial Evaluation Pending
11 Jun 2021Editorial Decision: Revise Minor