ArticleProteins2021
Continuous Automated Model EvaluatiOn (CAMEO)-Perspectives on the future of fully automated evaluation of structure prediction methods.
Article in Proteins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
36 citing papers in PubMed.
- Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins.NAR genomics and bioinformatics · 2026Article
- A fully automated benchmarking suite to compare macromolecular complexes.Nature methods · 2026Review
- Measuring and locating the changes in protein structure using MELO.Nature communications · 2026Article
- Comprehensive In Silico Analysis of the CXCL12, C55Y Mutation Reveals Structural and Functional Disruption in CXCR4/CXCR7 Signaling.Evolutionary bioinformatics online · 2026Article
- Beyond Single Chains: Benchmarking Macromolecular Complex Prediction Methods With the Continuous Automated Model EvaluatiOn (CAMEO).Proteins · 2026Article
- GeoEvoBuilder: A deep learning framework for efficient functional and thermostable protein design.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Deep-learning structure elucidation from single-mutant deep mutational scanning.Nature communications · 2025Article
- Assisting and accelerating NMR assignment with restrained structure prediction.Communications biology · 2025Article
- Chemosensory Receptors in Vertebrates: Structure and Computational Modeling Insights.International journal of molecular sciences · 2025Review
- LightRoseTTA: High-Efficient and Accurate Protein Structure Prediction Using a Light-Weight Deep Graph Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Machine Learning Techniques to Infer Protein Structure and Function from Sequences: A Comprehensive Review.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Balancing speed and precision in protein folding: a comparison of AlphaFold2, ESMFold, and OmegaFold.Frontiers in genetics · 2025Article
- High-resolution protein modeling through Cryo-EM and AI: current trends and future perspectives - a review.Frontiers in molecular biosciences · 2025Review
- Dissecting AlphaFold2's capabilities with limited sequence information.Bioinformatics advances · 2025Article
- Interpreting forces as deep learning gradients improves quality of predicted protein structures.Biophysical journal · 2024Article
- An end-to-end framework for the prediction of protein structure and fitness from single sequence.Nature communications · 2024Article
- GTalign: spatial index-driven protein structure alignment, superposition, and search.Nature communications · 2024Article
- AI-Driven Deep Learning Techniques in Protein Structure Prediction.International journal of molecular sciences · 2024Review
- The structure assessment web server: for proteins, complexes and more.Nucleic acids research · 2024Article
- Leveraging machine learning models for peptide-protein interaction prediction.RSC chemical biology · 2024Review
Corrections and comments
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Authors and funding
6 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.