ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021
Improved Protein Structure Prediction Using a New Multi-Scale Network and Homologous Templates.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
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- Multiple conformational states assembly of multidomain proteins using evolutionary algorithm based on structural analogues and sequential homologues.Fundamental research · 2026Article
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- Therapeutic Effect of a Recombinant Human Fibronectin Construct in Skeletal Muscle Repair and Oxidative Stress.International journal of molecular sciences · 2025Article
- Designing flexible protein structures and sampling protein conformations with a unified model using vector quantization and diffusion.National science review · 2025Article
- Bergeyella cardium variant induces a unique cytoplasmic vacuolization cell death floatptosis in macrophage.Cell discovery · 2025Article
- Uncovering the mechanism for polar sequestration of the major bacterial sugar regulator by high-throughput screens and 3D interaction modeling.Cell reports · 2025Article
- PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology.Scientific reports · 2025Article
- Virtual screening assisted identification of a phytocompound as potent inhibitor against Candida lusitaniae; an in-silico study.BMC infectious diseases · 2025Article
- Investigating the neuroprotective effects of strawberry extract against diesel soot-induced motor dysfunction in Drosophila: an in-vivo and in-silico study.In silico pharmacology · 2025Article
- Computational electrostatic engineering of nanobodies for enhanced SARS-CoV-2 receptor binding domain recognition.Frontiers in molecular biosciences · 2025Article
- Deep learning structural insights into heterotrimeric alternatively spliced P2X7 receptors.Purinergic signalling · 2024Article
- Unlocking the power of AI models: exploring protein folding prediction through comparative analysis.Journal of integrative bioinformatics · 2024Article
- State-of-the-RNArt: benchmarking current methods for RNA 3D structure prediction.NAR genomics and bioinformatics · 2024Article
- Development of membrane protein-based vaccine against lumpy skin disease virus (LSDV) using immunoinformatic tools.Veterinary medicine and science · 2024Article
- Rational design of antibodies and development of a novel method for (1-3)-β-D glucan detection as an alternative to Limulus amebocyte lysate assay.Frontiers in cellular and infection microbiology · 2024Article
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7 authors.
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Abstract
The accuracy of de novo protein structure prediction has been improved considerably in recent years, mostly due to the introduction of deep learning techniques. In this work, trRosettaX, an improved version of trRosetta for protein structure prediction is presented. The major improvement over trRosetta consists of two folds. The first is the application of a new multi-scale network, i.e., Res2Net, for improved prediction of inter-residue geometries, including distance and orientations. The second is an attention-based module to exploit multiple homologous templates to increase the accuracy further. Compared with trRosetta, trRosettaX improves the contact precision by 6% and 8% on the free modeling targets of CASP13 and CASP14, respectively. A preliminary version of trRosettaX is ranked as one of the top server groups in CASP14's blind test. Additional benchmark test on 161 targets from CAMEO (between Jun and Sep 2020) shows that trRosettaX achieves an average TM-score ≈0.8, outperforming the top groups in CAMEO. These data suggest the effectiveness of using the multi-scale network and the benefit of incorporating homologous templates into the network. The trRosettaX algorithm is incorporated into the trRosetta server since Nov 2020. The web server, the training and inference codes are available at: https://yanglab.nankai.edu.cn/trRosetta/.
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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.