ArticleProteins2014
Critical assessment of methods of protein structure prediction (CASP)--round x.
Article in Proteins, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers.
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Who cites it
181 citing papers in PubMed.
- Reliable evaluation and learning in multi-input biological association prediction.Briefings in bioinformatics · 2026Article
- Deep-learning-based single-domain and multidomain protein structure prediction with D-I-TASSER.Nature biotechnology · 2026Article
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- AI-driven insights into protein misfolding and innate immunity in neurodegenerative diseases.Frontiers in immunology · 2026Review
- CASP16 Protein Monomer Structure Prediction Assessment.Proteins · 2026Article
- Protein Structure Prediction Methods.Advances in experimental medicine and biology · 2026Review
- Comparative assessment of binding residue predictions in intrinsically disordered regions.Protein science : a publication of the Protein Society · 2025Article
- Resurgence of magnetic resonance techniques in the era of AlphaFold.Biophysical reviews · 2025Review
- DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions.PeerJ. Computer science · 2025Article
- Integration of proteomics and bioinformatics in traumatic brain injury biomarker discovery.Biotechnologia · 2025Article
- Taxonomy-specific assessment of intrinsic disorder predictions at residue and region levels in higher eukaryotes, protists, archaea, bacteria and viruses.Computational and structural biotechnology journal · 2024Article
- Assessing the Utility of ColabFold and AlphaMissense in Determining Missense Variant Pathogenicity for Congenital Myasthenic Syndromes.Biomedicines · 2024Article
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- Identification of plant vacuole proteins by using graph neural network and contact maps.BMC bioinformatics · 2023Article
- Phytochemical profiling and cytotoxic potential of Arnebia nobilis root extracts against hepatocellular carcinoma using in-vitro and in-silico approaches.Scientific reports · 2023Article
- Investigation of the Inhibition Mechanism of Xanthine Oxidoreductase by Oxipurinol: A Computational Study.Journal of chemical information and modeling · 2023Article
- AI in drug discovery and its clinical relevance.Heliyon · 2023Review
- Computational Characterization of the Inhibition Mechanism of Xanthine Oxidoreductase by Topiroxostat.ACS catalysis · 2023Article
121 more citing papers are in PubMed but not listed here.
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5 authors.
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Abstract
This article is an introduction to the special issue of the journal PROTEINS, dedicated to the tenth Critical Assessment of Structure Prediction (CASP) experiment to assess the state of the art in protein structure modeling. The article describes the conduct of the experiment, the categories of prediction included, and outlines the evaluation and assessment procedures. The 10 CASP experiments span almost 20 years of progress in the field of protein structure modeling, and there have been enormous advances in methods and model accuracy in that period. Notable in this round is the first sustained improvement of models with refinement methods, using molecular dynamics. For the first time, we tested the ability of modeling methods to make use of sparse experimental three-dimensional contact information, such as may be obtained from new experimental techniques, with encouraging results. On the other hand, new contact prediction methods, though holding considerable promise, have yet to make an impact in CASP testing. The nature of CASP targets has been changing in recent CASPs, reflecting shifts in experimental structural biology, with more irregular structures, more multi-domain and multi-subunit structures, and less standard versions of known folds. When allowance is made for these factors, we continue to see steady progress in the overall accuracy of models, particularly resulting from improvement of non-template regions.
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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.