PepLab Platform: Database and Software Tools for Analysis of Food-Derived Bioactive Peptides

Abstract

Research on food-derived bioactive peptides is expanding and the need for a convenient online platform that combines a foolproof and intuitive user interface with a reliable database and tools for prediction and analysis is rising. In this regard, this paper presents an open-access web-based platform PepLab (Peptides Laboratory). The database contains 2764 peptide sequence entries, grouped into sixteen classes according to their biological activity and into seven classes according to the source from which they were derived. Moreover, it includes bioinformatic tools for their processing and analysis. The DMpep tool allows extracting information about a number of physicochemical characteristics of a peptide or a set of peptides, including those that are not recorded in the database. The main advantages of PepLab are a user-friendly interface, a responsive design, and optimized search engines for better visibility on the Internet. Prediction of non-reported activity is available based on amino acid sequence analysis. In addition, users can download data and results in a convenient format (text and/or graphic) that was limited in the existing platforms. In this way, the presented PepLab platform will be helpful for researchers from various fields—bioinformatics, pharmaceuticals, food sciences, dietetics, biotechnology, analytical chemistry, etc.

Identification of antihypertensive peptides from lupine using a machine learning approach

“…b) toxic peptides are selected; c) randomly generated peptides. In this study, the data are from the web-based openaccess PepLab (www.pep-lab.info) platform [15]. The positive dataset included 523 peptide sequences with antihypertensive activity.…”

Artificial intelligence in the food industry

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