ArticleProteins2018
Improved protein contact predictions with the MetaPSICOV2 server 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 41 papers.
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Who cites it
41 citing papers in PubMed.
- MAKA-Map: Real-Valued Distance Prediction for Protein Folding Mechanisms via a Hybrid Neural Framework Integrating the Mamba and Kolmogorov-Arnold Networks.Biomolecules · 2026Article
- Small Disulfide Proteins with Antifungal Impact: NMR Experimental Structures as Compared to Models of Alphafold Versions.International journal of molecular sciences · 2025Article
- Machine Learning Techniques to Infer Protein Structure and Function from Sequences: A Comprehensive Review.Methods in molecular biology (Clifton, N.J.) · 2025Review
- cpxDeepMSA: A Deep Cascade Algorithm for Constructing Multiple Sequence Alignments of Protein-Protein Interactions.International journal of molecular sciences · 2022Article
- Membrane contact probability: An essential and predictive character for the structural and functional studies of membrane proteins.PLoS computational biology · 2022Article
- Using metagenomic data to boost protein structure prediction and discovery.Computational and structural biotechnology journal · 2022Review
- AlphaFold Models of Small Proteins Rival the Accuracy of Solution NMR Structures.Frontiers in molecular biosciences · 2022Article
- Assessment of prediction methods for protein structures determined by NMR in CASP14: Impact of AlphaFold2.Proteins · 2021Article
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- Improved 3-D Protein Structure Predictions using Deep ResNet Model.The protein journal · 2021Article
- Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions.Nature communications · 2021Article
- Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations.Cell reports methods · 2021Article
- On the use of direct-coupling analysis with a reduced alphabet of amino acids combined with super-secondary structure motifs for protein fold prediction.NAR genomics and bioinformatics · 2021Article
- Evaluation of residue-residue contact prediction methods: From retrospective to prospective.PLoS computational biology · 2021Article
- Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks.PLoS computational biology · 2021Article
- Hybridized distance- and contact-based hierarchical structure modeling for folding soluble and membrane proteins.PLoS computational biology · 2021Article
- Probabilistic divergence of a template-based modelling methodology from the ideal protocol.Journal of molecular modeling · 2021Article
- Chasing coevolutionary signals in intrinsically disordered proteins complexes.Scientific reports · 2020Article
- High-accuracy protein structures by combining machine-learning with physics-based refinement.Proteins · 2020Article
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2 authors.
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Abstract
In this paper, we present the results for the MetaPSICOV2 contact prediction server in the CASP12 community experiment (http://predictioncenter.org). Over the 35 assessed Free Modelling target domains the MetaPSICOV2 server achieved a mean precision of 43.27%, a substantial increase relative to the server's performance in the CASP11 experiment. In the following paper, we discuss improvements to the MetaPSICOV2 server, covering both changes to the neural network and attempts to integrate contact predictions on a domain basis into the prediction pipeline. We also discuss some limitations in the CASP12 assessment which may have overestimated the performance of our method.
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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.