ArticleBioinformatics (Oxford, England)2020
MUFold-SSW: a new web server for predicting protein secondary structures, torsion angles and turns.
Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Recent Advances in Computational Prediction of Secondary and Supersecondary Structures from Protein Sequences.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Multistage Combination Classifier Augmented Model for Protein Secondary Structure Prediction.Frontiers in genetics · 2022Article
- Deep learning for protein secondary structure prediction: Pre and post-AlphaFold.Computational and structural biotechnology journal · 2022Review
- Secondary Structures of Proteins: A Comparison of Models and Experimental Results.Journal of proteome research · 2021Article
- DNSS2: Improved ab initio protein secondary structure prediction using advanced deep learning architectures.Proteins · 2021Article
- Predicting Protein Therapeutic Candidates for Bovine Babesiosis Using Secondary Structure Properties and Machine Learning.Frontiers in genetics · 2021Article
- TMPSS: A Deep Learning-Based Predictor for Secondary Structure and Topology Structure Prediction of Alpha-Helical Transmembrane Proteins.Frontiers in bioengineering and biotechnology · 2020Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
motivationProtein secondary structure and backbone torsion angle prediction can provide important information for predicting protein 3D structures and protein functions. Our new methods MUFold-SS, MUFold-Angle, MUFold-BetaTurn and MUFold-GammaTurn, developed based on advanced deep neural networks, achieved state-of-the-art performance for predicting secondary structures, backbone torsion angles, beta-turns and gamma-turns, respectively. An easy-to-use web service will provide the community a convenient way to use these methods for research and development.
resultsMUFold-SSW, a new web server, is presented. It provides predictions of protein secondary structures, torsion angles, beta-turns and gamma-turns for a given protein sequence. This server implements MUFold-SS, MUFold-Angle, MUFold-BetaTurn and MUFold-GammaTurn, which performed well for both easy targets (proteins with weak sequence similarity in PDB) and hard targets (proteins without detectable similarity in PDB) in various experimental tests, achieving results better than or comparable with those of existing methods. AVAILABILITY AND IMPLEMENTATION: MUFold-SSW is accessible at http://mufold.org/mufold-ss-angle. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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