ArticleInternational journal of molecular sciences2021
PYTHIA: Deep Learning Approach for Local Protein Conformation Prediction.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Protein structure prediction via deep learning: an in-depth review.Frontiers in pharmacology · 2025Review
- Exploring Scoring Function Space: Developing Computational Models for Drug Discovery.Current medicinal chemistry · 2024Review
- Effective Local and Secondary Protein Structure Prediction by Combining a Neural Network-Based Approach with Extensive Feature Design and Selection without Reliance on Evolutionary Information.International journal of molecular sciences · 2023Article
- Assessing the clinical utility of protein structural analysis in genomic variant classification: experiences from a diagnostic laboratory.Genome medicine · 2022Article
- VInternational journal of molecular sciences · 2022Review
- DeepREx-WS: A web server for characterising protein-solvent interaction starting from sequence.Computational and structural biotechnology journal · 2021Article
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Authors and funding
4 authors.
Funding
Abstract
Protein Blocks (PBs) are a widely used structural alphabet describing local protein backbone conformation in terms of 16 possible conformational states, adopted by five consecutive amino acids. The representation of complex protein 3D structures as 1D PB sequences was previously successfully applied to protein structure alignment and protein structure prediction. In the current study, we present a new model, PYTHIA (
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Registered trials
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