ArticleProteins2016
New encouraging developments in contact prediction: Assessment of the CASP11 results.
Article in Proteins, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed.
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- Improved Protein Real-Valued Distance Prediction Using Deep Residual Dense Network (DRDN).The protein journal · 2022Article
- Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling.Bioinformatics (Oxford, England) · 2022Article
- A tale of solving two computational challenges in protein science: neoantigen prediction and protein structure prediction.Briefings in bioinformatics · 2022Review
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- Improved Protein Structure Prediction Using a New Multi-Scale Network and Homologous Templates.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Article
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- Accurate prediction of inter-protein residue-residue contacts for homo-oligomeric protein complexes.Briefings in bioinformatics · 2021Article
- PPalign: optimal alignment of Potts models representing proteins with direct coupling information.BMC bioinformatics · 2021Article
- RDbBMC bioinformatics · 2020Article
- Neural networks for protein structure and function prediction and dynamic analysis.Biophysical reviews · 2020Article
- DeepECA: an end-to-end learning framework for protein contact prediction from a multiple sequence alignment.BMC bioinformatics · 2020Article
- Self-organized emergence of folded protein-like network structures from geometric constraints.PloS one · 2020Article
- Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13.Proteins · 2019Article
- Assessing the accuracy of contact predictions in CASP13.Proteins · 2019Article
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- Remote homology searches identify bacterial homologues of eukaryotic lipid transfer proteins, including Chorein-N domains in TamB and AsmA and Mdm31p.BMC molecular and cell biology · 2019Article
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5 authors.
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Abstract
This article provides a report on the state-of-the-art in the prediction of intra-molecular residue-residue contacts in proteins based on the assessment of the predictions submitted to the CASP11 experiment. The assessment emphasis is placed on the accuracy in predicting long-range contacts. Twenty-nine groups participated in contact prediction in CASP11. At least eight of them used the recently developed evolutionary coupling techniques, with the top group (CONSIP2) reaching precision of 27% on target proteins that could not be modeled by homology. This result indicates a breakthrough in the development of methods based on the correlated mutation approach. Successful prediction of contacts was shown to be practically helpful in modeling three-dimensional structures; in particular target T0806 was modeled exceedingly well with accuracy not yet seen for ab initio targets of this size (>250 residues). Proteins 2016; 84(Suppl 1):131-144. © 2015 Wiley Periodicals, Inc.
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