ArticleProteins2014
Assessment of template-based protein structure predictions in CASP10.
Article in Proteins, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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Who cites it
59 citing papers in PubMed.
- Enhancing protein structure prediction: evaluating the role of amino acid physicochemical features in homology search.Briefings in bioinformatics · 2026Article
- CASP16 Protein Monomer Structure Prediction Assessment.Proteins · 2026Article
- The physics-AI dialogue in drug design.RSC medicinal chemistry · 2025Review
- Making Use of Averaging Methods in MODELLER for Protein Structure Prediction.International journal of molecular sciences · 2024Article
- Structural Elucidation of Rift Valley Fever Virus L Protein towards the Discovery of Its Potential Inhibitors.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Modeling SARS-CoV-2 proteins in the CASP-commons experiment.Proteins · 2021Article
- Designing a multi-epitope vaccine candidate to combat MERS-CoV by employing an immunoinformatics approach.Scientific reports · 2021Article
- Computational Design and Preliminary Serological Analysis of a Novel Multi-Epitope Vaccine Candidate against Onchocerciasis and Related Filarial Diseases.Pathogens (Basel, Switzerland) · 2021Article
- ComprehensiveRSC advances · 2020Article
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- A Mutation inFrontiers in cell and developmental biology · 2020Article
- Perspectives towards antiviral drug discovery against Ebola virus.Journal of medical virology · 2019Review
- Small angle X-ray scattering-assisted protein structure prediction in CASP13 and emergence of solution structure differences.Proteins · 2019Article
- Article
- Protein Engineering of Multi-Modular Transcription Factor Alcohol Dehydrogenase Repressor 1 (Adr1p), a Tool for Dissecting In Vitro Transcription Activation.Biomolecules · 2019Article
- In silico structural elucidation of RNA-dependent RNA polymerase towards the identification of potential Crimean-Congo Hemorrhagic Fever Virus inhibitors.Scientific reports · 2019Article
- Comparative analysis of methods for evaluation of protein models against native structures.Bioinformatics (Oxford, England) · 2019Article
- Refining protein structures using enhanced sampling techniques with restraints derived from an ensemble-based model.Protein science : a publication of the Protein Society · 2018Article
- Improving low-accuracy protein structures using enhanced sampling techniques.The Journal of chemical physics · 2018Article
- MR-REX: molecular replacement by cooperative conformational search and occupancy optimization on low-accuracy protein models.Acta crystallographica. Section D, Structural biology · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Template-based modeling (TBM) is a major component of the critical assessment of protein structure prediction (CASP). In CASP10, some 41,740 predicted models submitted by 150 predictor groups were assessed as TBM predictions. The accuracy of protein structure prediction was assessed by geometric comparison with experimental X-ray crystal and NMR structures using a composite score that included both global alignment metrics and distance-matrix-based metrics. These included GDT-HA and GDC-all global alignment scores, and the superimposition-independent LDDT distance-matrix-based score. In addition, a superimposition-independent RPF metric, similar to that described previously for comparing protein models against experimental NMR data, was used for comparing predicted protein structure models against experimental protein structures. To score well on all four of these metrics, models must feature accurate predictions of both backbone and side-chain conformations. Performance rankings were determined independently for server and the combined server plus human-curated predictor groups. Final rankings were made using paired head-to-head Student's t-test analysis of raw metric scores among the top 25 performing groups in each category.
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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.