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

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).

Germinated chickpea protein ficin hydrolysate and its peptides inhibited glucose uptake and affected the bitter receptor signaling pathway in vitro

“…The source of the peptides and their physiochemical, bioactive, and bitter properties were analyzed using the BLAST, 26 PepDraw 27 and BioPep 28 databases. ToxinPred was used to predict the toxicity of the peptides.…”

“…Peptides were identified using MS peaks, and those that were reproducible in independent replicates with a probability of >50% were used for further analysis. The source of the peptides and their physiochemical, bioactive, and bitter properties were analyzed using the BLAST, 26 PepDraw 27 and BioPep 28 databases. ToxinPred was used to predict the toxicity of the peptides.…”

Bioactive Antimicrobial Peptides from Food Proteins: Perspectives and Challenges for Controlling Foodborne Pathogens

“…This approach complements the traditionally applied prediction methods, which majorly simulate enzymatic cleavages. In those, the action of specific proteases on the protein is simulated to obtain the hydrolysate sequences, which are further investigated for bioactivities based on a database, such as BIOPEP-UWM [ 66 , 67 , 68 ] or CAMP R3 [ 69 ].…”

Simultaneous production of proteases and antioxidant biopeptides by solid-state fermentation

“…[1][2][3]7,11 Currently, a database called the 'BIOPEP-UWM Virtual database' reported 4474 bioactive peptides, 533 sensory peptides and 163 virtual peptides, and this database is being frequently updated. 12,13 Bioactive peptides are formed by hydrolysis catalysed by proteases, 14,15 which are important enzymes used and produced by the biotechnology industry accounting for about 60% of the global market, with applications in detergents, leather processing, food and feed processing, pharmaceuticals, chemicals, and waste treatment. 16 In foods, proteases have two main applications: in the processing of traditional food products and in the processing of new protein-based ingredients, which due to their characteristics can be called functional foods.…”

“…1–3,7,11 Currently, a database called the ‘BIOPEP-UWM Virtual database’ reported 4474 bioactive peptides, 533 sensory peptides and 163 virtual peptides, and this database is being frequently updated. 12,13…”