ArticleProteins2019
Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment.
Article in Proteins, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
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Who cites it
69 citing papers in PubMed.
- AlphaFold and Docking Approaches for Antibody-Antigen and Other Targets: Insights From CAPRI Rounds 47-55.Proteins · 2026Article
- Accurate protein-protein interactions modeling through physics-informed geometric invariant learning.Communications biology · 2026Article
- COCOMAPS 2.0: a web server for identifying, analyzing, and visualizing atomic interactions at the interface of biomolecular complexes.Bioinformatics (Oxford, England) · 2025Article
- Docking in the Dark: Insights into Protein-Protein and Protein-Ligand Blind Docking.Pharmaceuticals (Basel, Switzerland) · 2025Review
- High-accuracy protein complex structure modeling based on sequence-derived structure complementarity.Nature communications · 2025Article
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- Compact Assessment of Molecular Surface Complementarities Enhances Neural Network-Aided Prediction of Key Binding Residues.Journal of chemical information and modeling · 2025Article
- Recent advances and challenges in protein complex model accuracy estimation.Computational and structural biotechnology journal · 2024Review
- Evaluation of Angiotensin-Converting Enzyme 2 ExpressionACS pharmacology & translational science · 2024Article
- Computational Approaches to Predict Protein-Protein Interactions in Crowded Cellular Environments.Chemical reviews · 2024Review
- Assembly of Protein Complexes in and on the Membrane with Predicted Spatial Arrangement Constraints.Journal of molecular biology · 2024Article
- Molecular Docking of Intrinsically Disordered Proteins: Challenges and Strategies.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment.Proteins · 2023Article
- Article
- The impact of AI-based modeling on the accuracy of protein assembly prediction: Insights from CASP15.Proteins · 2023Article
- Enhancing alphafold-multimer-based protein complex structure prediction with MULTICOM in CASP15.Communications biology · 2023Article
- Assembly of Protein Complexes In and On the Membrane with Predicted Spatial Arrangement Constraints.bioRxiv : the preprint server for biology · 2023Article
- Assessment of three-dimensional RNA structure prediction in CASP15.bioRxiv : the preprint server for biology · 2023Article
- The Impact of AI-Based Modeling on the Accuracy of Protein Assembly Prediction: Insights from CASP15.bioRxiv : the preprint server for biology · 2023Article
- Modeling protein-nucleic acid complexes with extremely large conformational changes using Flex-LZerD.Proteomics · 2023Article
9 more citing papers are in PubMed but not listed here.
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Authors and funding
105 authors.
Funding
Abstract
We present the results for CAPRI Round 46, the third joint CASP-CAPRI protein assembly prediction challenge. The Round comprised a total of 20 targets including 14 homo-oligomers and 6 heterocomplexes. Eight of the homo-oligomer targets and one heterodimer comprised proteins that could be readily modeled using templates from the Protein Data Bank, often available for the full assembly. The remaining 11 targets comprised 5 homodimers, 3 heterodimers, and two higher-order assemblies. These were more difficult to model, as their prediction mainly involved "ab-initio" docking of subunit models derived from distantly related templates. A total of ~30 CAPRI groups, including 9 automatic servers, submitted on average ~2000 models per target. About 17 groups participated in the CAPRI scoring rounds, offered for most targets, submitting ~170 models per target. The prediction performance, measured by the fraction of models of acceptable quality or higher submitted across all predictors groups, was very good to excellent for the nine easy targets. Poorer performance was achieved by predictors for the 11 difficult targets, with medium and high quality models submitted for only 3 of these targets. A similar performance "gap" was displayed by scorer groups, highlighting yet again the unmet challenge of modeling the conformational changes of the protein components that occur upon binding or that must be accounted for in template-based modeling. Our analysis also indicates that residues in binding interfaces were less well predicted in this set of targets than in previous Rounds, providing useful insights for directions of future improvements.
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