Literature DB >> 31576595

Enzymatic release of dipeptidyl peptidase-4 inhibitors (gliptins) from pigeon pea (Cajanus cajan) nutrient reservoir proteins: In silico and in vitro assessments.

Ruth T Boachie1, Faith L Okoro2, Kento Imai1,3, Lu Sun1, Sunday O Elom2, Joseph O Nwankwo2, Chukwunonso E C C Ejike2, Chibuike C Udenigwe1,2,4.   

Abstract

In silico and in vitro parameters were used to assess the potential of pigeon pea (Cajanus cajan) nutrient reservoir proteins as sources of dipeptidyl peptidase (DPP)-4 inhibitors. In silico, 40 pigeon pea proteins evaluated had 46% of amino acids associated with DPP-4 inhibition. After virtual hydrolysis, pepsin had the highest frequency of release and bioactivity of released DPP-4 inhibiting peptides, compared to papain and thermolysin. In vitro, thermolysin released the most active DPP-4 inhibitors. The protein hydrolysates contained similar amino acids but different particle sizes. Thus, the bioactivity patterns are attributable to the different nature and behavior of proteins/peptides under actual and virtual conditions. Using eight physicochemical variables, a random forest model with moderate prediction accuracy was developed for predicting DPP-4 inhibitory activity of papain hydrolysates. The findings demonstrate that proteins from pigeon pea are precursors of DPP-4 inhibitors, with potential use in formulating functional food for managing type 2 diabetes. PRACTICAL APPLICATIONS: The emerging use of in silico simulations to predict bioactivity of peptides can provide a framework to direct further wet lab assessments. This pattern can enhance focusing on factors relevant to the bioactive properties of interest. However, there is still limited evidence to confirm the reliability and accuracy of this tool. This study therefore provides insight into the practical use of in silico simulations to predict bioactivity of food peptides by assessing the factors relevant to the enzymatic release of dipeptidyl peptidase-4 inhibitors from pigeon pea seed storage proteins and validating the findings with wet lab assessment. This work also provides important information that can enhance the utilization of pigeon pea, which is an orphan crop, in developing functional food products for managing type 2 diabetes mellitus in developing countries.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  zzm321990Cajanus cajanzzm321990; bioactive peptides; bioinformatics; dipeptidyl peptidase-4; in silico; pigeon pea

Year:  2019        PMID: 31576595     DOI: 10.1111/jfbc.13071

Source DB:  PubMed          Journal:  J Food Biochem        ISSN: 0145-8884            Impact factor:   2.720


  1 in total

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

Authors:  Kento Imai; Kazunori Shimizu; Hiroyuki Honda
Journal:  Sci Rep       Date:  2021-08-09       Impact factor: 4.379

  1 in total

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