Amila Turalić, Zsófia Hegedüs, Fabio Altieri, Tamás A. Martinek, Jasmina Đeđibegović
{"title":"Discordance between in silico and in vitro results on proteolytic stability of milk protein-derived DPP-4 inhibitory peptides","authors":"Amila Turalić, Zsófia Hegedüs, Fabio Altieri, Tamás A. Martinek, Jasmina Đeđibegović","doi":"10.1007/s00217-025-04833-8","DOIUrl":null,"url":null,"abstract":"<div><p>The resistance of food-derived bioactive peptides to gastrointestinal enzymatic degradation remains a key challenge to address before considering their in vivo activity. While many in vitro studies explored peptide activity, proteolytic stability studies are limited. The proteolytic stability of some of the most potent proline-containing, milk protein-derived DPP-4 inhibitory peptides (IPI, IPA, IPM, LPQNIPPL, and INNQFLPYPY) from the BIOPEP-UWM database was initially screened using BIOPEP-UWM, ExPASy PeptideCutter, and ProsperousPlus in silico webservers. The peptides were synthesized and incubated separately in vitro with pepsin, chymotrypsin, or pancreatic elastase. The peptides were proteolytically stable during 3 h incubation, except INNQFLPYPY, which was partially degraded by chymotrypsin, supporting previous findings on hydrolysis resistance. However, the cleavage sites predicted by in silico tools were not fully confirmed by in vitro experiment. Misclassified cleavage sites were observed for proline-, asparagine-, or glutamine-containing peptide bonds, highlighting potential limitations of the commonly used in silico tools. To assess the observed differences, a statistical analysis was performed to evaluate predictive accuracy using a validation dataset of 897 previously tested cleavage sites. The in silico and in vitro agreement on cleavage sites was below 75%. Negative predictive values, supported by specificity data, indicate that in silico tools may miss 10–30% of the cleavage sites. The obtained likelihood ratio values (LR+ < 10, LR- > 0.1) did not meet the expected standards of accuracy. Analysis of the underlying methodology of the in silico tools clarified the potential causes of conflicting results and identified areas for improvement.</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"251 10","pages":"3199 - 3214"},"PeriodicalIF":3.2000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Food Research and Technology","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s00217-025-04833-8","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The resistance of food-derived bioactive peptides to gastrointestinal enzymatic degradation remains a key challenge to address before considering their in vivo activity. While many in vitro studies explored peptide activity, proteolytic stability studies are limited. The proteolytic stability of some of the most potent proline-containing, milk protein-derived DPP-4 inhibitory peptides (IPI, IPA, IPM, LPQNIPPL, and INNQFLPYPY) from the BIOPEP-UWM database was initially screened using BIOPEP-UWM, ExPASy PeptideCutter, and ProsperousPlus in silico webservers. The peptides were synthesized and incubated separately in vitro with pepsin, chymotrypsin, or pancreatic elastase. The peptides were proteolytically stable during 3 h incubation, except INNQFLPYPY, which was partially degraded by chymotrypsin, supporting previous findings on hydrolysis resistance. However, the cleavage sites predicted by in silico tools were not fully confirmed by in vitro experiment. Misclassified cleavage sites were observed for proline-, asparagine-, or glutamine-containing peptide bonds, highlighting potential limitations of the commonly used in silico tools. To assess the observed differences, a statistical analysis was performed to evaluate predictive accuracy using a validation dataset of 897 previously tested cleavage sites. The in silico and in vitro agreement on cleavage sites was below 75%. Negative predictive values, supported by specificity data, indicate that in silico tools may miss 10–30% of the cleavage sites. The obtained likelihood ratio values (LR+ < 10, LR- > 0.1) did not meet the expected standards of accuracy. Analysis of the underlying methodology of the in silico tools clarified the potential causes of conflicting results and identified areas for improvement.
期刊介绍:
The journal European Food Research and Technology publishes state-of-the-art research papers and review articles on fundamental and applied food research. The journal''s mission is the fast publication of high quality papers on front-line research, newest techniques and on developing trends in the following sections:
-chemistry and biochemistry-
technology and molecular biotechnology-
nutritional chemistry and toxicology-
analytical and sensory methodologies-
food physics.
Out of the scope of the journal are:
- contributions which are not of international interest or do not have a substantial impact on food sciences,
- submissions which comprise merely data collections, based on the use of routine analytical or bacteriological methods,
- contributions reporting biological or functional effects without profound chemical and/or physical structure characterization of the compound(s) under research.