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BIOPEP-UWM Virtual—A Novel Database of Food-Derived Peptides with In Silico-Predicted Biological Activity

Piotr Mińkiewicz, Anna Iwaniak, Małgorzata Darewicz

2022Applied Sciences47 citationsDOIOpen Access PDF

Abstract

The novel BIOPEP-UWM Virtual database is designed as a repository of peptide sequences whose bioactivity or taste information was the result of in silico predictions. It is a tool complementary to the existing BIOPEP-UWM database summarizing the results of experimental data on bioactive peptides. The layout and organization of the new database are identical to those of the existing BIOPEP-UWM database of bioactive peptides. The peptide data record includes the following information: name; sequence and function information (understood as information about the predicted target biomacromolecule); bibliographic data with the reference paper describing the peptide; additional information, including the peptide structure, annotated using chemical codes as well as the specification of the method used for bioactivity prediction; information about other activities discovered experimentally or predicted using computational methods; peptide taste (if available); and a database reference tab providing information about compound annotations in other databases (if available).

Topics & Concepts

In silicoComputer scienceDatabasePeptideFunction (biology)Information retrievalComputational biologyData miningChemistryBiologyBiochemistryGeneEvolutionary biologyComputational Drug Discovery MethodsProtein Hydrolysis and Bioactive PeptidesMachine Learning in Bioinformatics
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