Cited by 966Protein Hydrolysis and Bioactive PeptidesChemical Synthesis and AnalysisAntimicrobial Peptides and Activities

BIOPEP-UWM Database of Bioactive Peptides: Current Opportunities

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Minkiewicz, Piotr, Iwaniak, Anna, Darewicz, Małgorzata·2019·International Journal of Molecular Sciences

Abstract

The BIOPEP-UWM™ database of bioactive peptides (formerly BIOPEP) has recently become a popular tool in the research on bioactive peptides, especially on these derived from foods and being constituents of diets that prevent development of chronic diseases. The database is continuously updated and modified. The addition of new peptides and the introduction of new information about the existing ones (e.g., chemical codes and references to other databases) is in progress. New opportunities include the possibility of annotating peptides containing D-enantiomers of amino acids, batch processing option, converting amino acid sequences into SMILES code, new quantitative parameters characterizing the presence of bioactive fragments in protein sequences, and finding proteinases that release particular peptides.

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Crossref · 10.3390/ijms20235978

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  • Libraries of bioactive peptide sequences obtained via proteolysis of food proteins are widely available in databases like BIOPEP-UWM and contain modules of in silico proteolysis, activity prediction, and structure-function analysis.

    “Libraries of bioactive peptide sequences obtained via proteolysis of food proteins are widely available in databases like BIOPEP-UWM and contain modules of in silico proteolysis, activity prediction, and structure-function analysis [209].”

    From Navigating the potential of algal peptides: health effects, market applications, and scientific challenges (2026) · cites this paper as [209]

    The Introduction describes BIOPEP-UWM as a widely used database for bioactive peptides, especially those derived from food. Section 6 (Analysis; page not provided) describes simulated proteolysis and profiles of potential biological activity. It does not describe a dedicated structure–function analysis module, so that part of the claim is not supported. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Biological informatics platforms based on machine learning and artificial intelligence have transformed peptide studies by allowing predictions of bioactivity, toxicity, physicochemical properties, and possible health impact within hours.

    “Biological informatics platforms based on machine learning and artificial intelligence (AI) have transformed the field of peptide studies by allowing predictions of bioactivity, toxicity, physicochemical properties, and possible health impact within hours.”

    From Navigating the potential of algal peptides: health effects, market applications, and scientific challenges (2026) · cites this paper as [209]

    Section 4 (Peptide Information; page not provided) says software can predict physicochemical and biological properties of compounds, including food peptides. Section 6 (Analysis; page not provided) describes tools for assessing potential peptide bioactivity. The cited paper does not establish that these platforms use machine learning or AI, predict toxicity and health impacts, or produce those predictions within hours. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

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Authors
Minkiewicz, P., Iwaniak, A., & Darewicz, M.
Affiliations
  • Chair of Food Biochemistry, University of Warmia and Mazury in Olsztyn, Plac Cieszyński 1, 10-726 Olsztyn-Kortowo, Poland
  • University of Warmia and Mazury in Olsztyn (PL)
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2019-11-27
Volume
20
Issue
23
Pages
5978
ISSN
1422-0067 (ISSN-L)
OpenAlex
W2989775272
Cited by
958
References
104
Citations by year
2026: 161 · 2025: 189 · 2024: 156 · 2023: 160 · 2022: 135 · 2021: 103 · 2020: 53 · 2019: 1
FWCI
24.15
Type
journal article
Language
en
Open access
Locations
  • International Journal of Molecular Sciences (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
The project was financially supported by the Minister of Science and Higher Education in the range of the program entitled “Regional Initiative of Excellence” for the years 2019–2022, amount of funding 12,000,000 PLN (010/RID/2018/19)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Hydrolysis and Bioactive Peptides
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chemical Synthesis and Analysis
  • Life Sciences › Immunology and Microbiology › Microbiology › Antimicrobial Peptides and Activities
Keywords
bioactive peptides, peptide database, food-derived peptides, chronic disease prevention, D-enantiomer, peptide annotation
MeSH terms
Amino Acid Sequence, Amino Acids, Animals, Humans, Peptide Hydrolases, Peptides, Databases, Factual

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