Continuous Automated Model EvaluatiOn (CAMEO)—Perspectives on the future of fully automated evaluation of structure prediction methods. Issue 12 (19th August 2021)

• Record Type: Journal Article
• Authors: Robin, Xavier; Haas, Juergen; Gumienny, Rafal; Smolinski, Anna; Tauriello, Gerardo; Schwede, Torsten
• Other Names: Moult John guestEditor.; Kryshtafovych Andriy guestEditor.
• Is Part Of: Proteins. Volume 89:Issue 12(2021)
• Page Start: 1977
• Page End: 1986
• Publication Date: 2021-08-19
• Subjects: benchmarking -- blind assessment -- continuous evaluation -- macromolecular complexes -- non‐canonical residues -- molecular structure prediction -- ligands; Proteins -- Periodicals; Proteins -- Periodicals; 572.6
• DOI: 10.1002/prot.26213
• Languages: English
• ISSNs: 0887-3585

Abstract

Abstract: The Continuous Automated Model EvaluatiOn (CAMEO) platform complements the biennial CASP experiment by conducting fully automated blind evaluations of three‐dimensional protein prediction servers based on the weekly prerelease of sequences of those structures, which are going to be published in the upcoming release of the Protein Data Bank. 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 noncanonical amino acid residues, CAMEO will assist new developments in those challenging areas of active research.