BIOPEP-UWM Virtual—A Novel Database of Food-Derived Peptides with In Silico-Predicted Biological Activity
Source abstract
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).
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Computational Drug Discovery Methods · Protein Hydrolysis and Bioactive Peptides · Machine Learning in Bioinformatics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Food Biochemistry, University of Warmia and Mazury in Olsztyn, Plac Cieszyński 1, Kortowo, 10-726 Olsztyn, Poland
Funding
University of Warmia and Mazury in Olsztyn · Minister of Education and Science
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