ArticleProteins2018
Assessment of protein assembly prediction in CASP12.
Article in Proteins, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- Incorporating Surfaced-Induced Dissociation Mass Spectrometry Data into an AlphaFold-derived deep learning network improves protein structure prediction.bioRxiv : the preprint server for biology · 2026Article
- Reciprocal best matching: a new pipeline for scoring models with unknown stoichiometry in CASP experiments.BMC bioinformatics · 2026Article
- A fully automated benchmarking suite to compare macromolecular complexes.Nature methods · 2026Review
- Progress and Bottlenecks for Deep Learning in Computational Structure Biology: CASP Round XVI.Proteins · 2026Article
- Assessment of Nucleic Acid Structure Prediction in CASP16.Proteins · 2026Article
- Article
- ProNA3D: Distance-Based Analysis of Nucleic Acid-Containing Interfaces.Computational and structural biotechnology journal · 2026Article
- Improving AlphaFold2- and AlphaFold3-Based Protein Complex Structure Prediction With MULTICOM4 in CASP16.Proteins · 2026Article
- Assessment of Protein Complex Predictions in CASP16: Are we making progress?bioRxiv : the preprint server for biology · 2025Article
- Assessment of nucleic acid structure prediction in CASP16.bioRxiv : the preprint server for biology · 2025Article
- Two Methods for Superposing the Structures of Like-Molecule Assemblies: Application to Peptide and Protein Oligomers and Aggregates.Molecules (Basel, Switzerland) · 2025Article
- An outlook on structural biology after AlphaFold: tools, limits and perspectives.FEBS open bio · 2025Review
- CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2.Nature methods · 2024Article
- Breaking the conformational ensemble barrier: Ensemble structure modeling challenges in CASP15.Proteins · 2023Article
- CASP15 cryo-EM protein and RNA targets: Refinement and analysis using experimental maps.Proteins · 2023Article
- Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment.Proteins · 2023Article
- 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
- The Impact of AI-Based Modeling on the Accuracy of Protein Assembly Prediction: Insights from CASP15.bioRxiv : the preprint server for biology · 2023Article
- Enhancing AlphaFold-Multimer-based Protein Complex Structure Prediction with MULTICOM in CASP15.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
We present the results of the first independent assessment of protein assemblies in CASP. A total of 1624 oligomeric models were submitted by 108 predictor groups for the 30 oligomeric targets in the CASP12 edition. We evaluated the accuracy of oligomeric predictions by comparison to their reference structures at the interface patch and residue contact levels. We find that interface patches are more reliably predicted than the specific residue contacts. Whereas none of the 15 hard oligomeric targets have successful predictions for the residue contacts at the interface, six have models with resemblance in the interface patch. Successful predictions of interface patch and contacts exist for all targets suitable for homology modeling, with at least one group improving over the best available template for each target. However, the participation in protein assembly prediction is low and uneven. Three human groups are closely ranked at the top by overall performance, but a server outperforms all other predictors for targets suitable for homology modeling. The state of the art of protein assembly prediction methods is in development and has apparent room for improvement, especially for assemblies without templates.
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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.