ArticleNucleic acids research2021
BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation.
Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Comparative Assessment of Protein Large Language Models for Enzyme Commission Number Prediction.BMC bioinformatics · 2025Article
- PredictEFC: a fast and efficient multi-label classifier for predicting enzyme family classes.BMC bioinformatics · 2024Article
- MultifacetedProtDB: a database of human proteins with multiple functions.Nucleic acids research · 2024Article
- Predicting enzymatic function of protein sequences with attention.Bioinformatics (Oxford, England) · 2023Article
- Effects of Sequence Features on Machine-Learned Enzyme Classification Fidelity.Biochemical engineering journal · 2022Article
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4 authors.
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Abstract
The Bologna ENZyme Web Server (BENZ WS) annotates four-level Enzyme Commission numbers (EC numbers) as defined by the International Union of Biochemistry and Molecular Biology (IUBMB). BENZ WS filters a target sequence with a combined system of Hidden Markov Models, modelling protein sequences annotated with the same molecular function, and Pfams, carrying along conserved protein domains. BENZ returns, when successful, for any enzyme target sequence an associated four-level EC number. Our system can annotate both monofunctional and polyfunctional enzymes, and it can be a valuable resource for sequence functional annotation.
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