ArticleProteins2021
Assessment of protein model structure accuracy estimation in CASP14: Old and new challenges.
Article in Proteins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 66 citations in OpenAlex.
- Protein foundation models: a comprehensive survey.Science China. Life sciences · 2026Review
- AlphaFold model quality self-assessment improvement via deep graph learning.Protein science : a publication of the Protein Society · 2025Article
- Challenges in bridging the gap between protein structure prediction and functional interpretation.Proteins · 2025Article
- Structural Characterization of Heat Shock Protein 90β and Molecular Interactions with Geldanamycin and Ritonavir: A Computational Study.International journal of molecular sciences · 2024Article
- Predictive modeling and cryo-EM: A synergistic approach to modeling macromolecular structure.Biophysical journal · 2024Review
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- New prediction categories in CASP15.Proteins · 2023Article
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- DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function.Bioinformatics (Oxford, England) · 2023Article
- Article
- Assessment of the Performances of the Protein Modeling Techniques Participating in CASP15 Using a Structure-Based Functional Site Prediction Approach: ResiRole.Bioengineering (Basel, Switzerland) · 2023Article
- Assessing protein model quality based on deep graph coupled networks using protein language model.Briefings in bioinformatics · 2023Article
- Assessment of three-dimensional RNA structure prediction in CASP15.bioRxiv : the preprint server for biology · 2023Article
- DeepUMQA3: a web server for accurate assessment of interface residue accuracy in protein complexes.Bioinformatics (Oxford, England) · 2023Article
- Solvent Accessibility Promotes Rotamer Errors during Protein Modeling with Major Side-Chain Prediction Programs.Journal of chemical information and modeling · 2023Article
- iQDeep: an integrated web server for protein scoring using multiscale deep learning models.Journal of molecular biology · 2023Article
- Combining pairwise structural similarity and deep learning interface contact prediction to estimate protein complex model accuracy in CASP15.bioRxiv : the preprint server for biology · 2023Article
- Lessons Learnt from COVID-19: Computational Strategies for Facing Present and Future Pandemics.International journal of molecular sciences · 2023Review
- 3D-equivariant graph neural networks for protein model quality assessment.Bioinformatics (Oxford, England) · 2023Article
- State-of-the-Art Estimation of Protein Model Accuracy Using AlphaFold.Physical review letters · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
In CASP, blind testing of model accuracy estimation methods has been conducted on models submitted by tertiary structure prediction servers. In CASP14, model accuracy estimation results were evaluated in terms of both global and local structure accuracy, as in the previous CASPs. Unlike the previous CASPs that did not show pronounced improvements in performance, the best single-model method (from the Baker group) showed an improved performance in CASP14, particularly in evaluating global structure accuracy when compared to both the best single-model methods in previous CASPs and the best multi-model methods in the current CASP. Although the CASP14 experiment on model accuracy estimation did not deal with the structures generated by AlphaFold2, new challenges that have arisen due to the success of AlphaFold2 are discussed.
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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.