Machine learning screening of bile acid-binding peptides in a peptide database derived from food proteins.

ABSTRACT: Bioactive peptides (BPs) are protein fragments that exhibit a wide variety of physicochemical properties, such as basic, acidic, hydrophobic, and hydrophilic properties; thus, they have the potential to interact with a variety of biomolecules, whereas neither carbohydrates nor fatty acids have such diverse properties. Therefore, BP is considered to be a new generation of biologically active regulators. Recently, some BPs that have shown positive benefits in humans have been screened from edible proteins. In the present study, a new BP screening method was developed using BIOPEP-UWM and machine learning. Training data were initially obtained using high-throughput techniques, and positive and negative datasets were generated. The predictive model was generated by calculating the explanatory

SUBMITTER: Imai K 

PROVIDER: S-EPMC8352859 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature