Trends in In Silico Approaches to the Prediction of Biologically Active Peptides in Meat and Meat Products as an Important Factor for Preventing Food-Related Chronic Diseases

Abstract

The increasing awareness of modern consumers regarding the nutritional and health value of food has changed their preferences, as well their requirements, for food products, including meat and meat products. Expanding the knowledge on the impact of food on human health is currently one of the most important research areas for scientists worldwide, and it is also of interest to consumers who want to consciously compose their daily diets. New research methods, such as in silico techniques, offer solutions to these new challenges. These research methods are preferred over food evaluation, e.g., from meat, because of their advantages, such as low costs, shorter analysis times, and general availability (e.g., online databases), and are often used to design in vitro and, subsequently, in vivo tests. This review focuses on the possible use of in silico computerized methods to assess the potential of food as a source of these health-relevant biomolecules by using examples from the literature on meat and meat products. This review also provides information and important suggestions for analyzing peptides in terms of assessing their best sources, and screening those resistant to digestive factors and that show biological activity. The information provided in this review could contribute to the development of new sources of foods as biomolecules important for preventing or treating food-related chronic diseases, such as obesity, hypertension, and diabetes.

Recent advances in the exploration and discovery of SARS-CoV-2 inhibitory peptides from edible animal proteins

“…Currently, there are different kinds of peptide databases, such as the antihypertensive peptide database AHTPDB ( 71 ), the bioactive peptide database BIOPEP-UWM ( 72 ), the food protein database FeptideDB ( 73 ), the milk database MBPDB and MilkAMP ( 74 ), the fermented food database FermFooDB ( 75 ), and the insect antimicrobial peptides database APD3 ( 76 ). These databases offer useful tools and reliable sources of information for subsequent prediction of the physicochemical characteristics of peptides.…”

Novel bioactive peptides from red seaweed (Pyropia vietnamensis) proteins

“…The development in bioinformatic tools employing the utilization of peptide databases and various software has been proven to be very useful in the identifying the most promising protein and enzyme substrates for the release of speci c bioactive peptides (FitzGerald et al, 2020). In silico method has various advantages such as it could minimize the time and cost required to screen for bioactive peptides in food proteins, prior to performing the in vitro or wet lab experiment (Kęska et al, 2021). One of the in silico tools is BIOPEP-UWM database that contains information on bioactive peptide sequences.…”