Format

Send to

Choose Destination
Heliyon. 2019 Jul 20;5(7):e02076. doi: 10.1016/j.heliyon.2019.e02076. eCollection 2019 Jul.

FeptideDB: A web application for new bioactive peptides from food protein.

Author information

1
Genetic Engineering Interdisciplinary Program, Graduate School, Kasetsart University, 50 Ngam Wong Wan Rd, Bangkok, Chatuchak, 10900, Thailand.
2
Department of Research and Development, Betagro Science Center Co. Ltd., Klong Luang, Pathumthani, 12120, Thailand.
3
National Biobank of Thailand, National Center for Genetic Engineering and Biotechnology (BIOTEC), Thailand Science Park, Khlong Luang, Pathum Thani, 12120, Thailand.
4
Enzyme Technology Laboratory, National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Phahonyothin Road Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand.
5
Department of Computer Engineering, Faculty of Industrial Technology, Pibulsongkram Rajabhat University, 156 Mu 5 Plaichumpol Sub-district, Muang District, Phitsanulok, 65000, Thailand.
6
Department of Biochemistry, Faculty of Science, Kasetsart University, 50 Ngam, Wong Wan Rd, Bangkok, Chatuchak, 10900, Thailand.
7
Center for Advanced Studies in Nanotechnology for Chemical, Food and Agricultural Industries, KU Institute for Advanced Studies, Kasetsart University, Bangkok, 10900, Thailand.
8
Functional Food Unit, Department of Nutrition and Health, Institute of Food Research and Product Development, Kasetsart University, Thailand.

Abstract

Background:

Bioactive peptides derived from food are important sources for alternative medicine and possess therapeutic activity. Several biochemical methods have been achieved to isolate bioactive peptides from food, which are tedious and time consuming. In silico methods are an alternative process to reduce cost and time with respect to bioactive peptide production. In this paper, FeptideDB was used to collect bioactive peptide (BP) data from both published research articles and available bioactive peptide databases. FeptideDB was developed to assist in forecasting bioactive peptides from food by combining peptide cleavage tools and database matching. Furthermore, this application was able to predict the potential of cleaved peptides from 'enzyme digestion module' to identify new ACE (angiotensin converting enzyme) inhibitors using an automatic molecular docking approach.

Results:

The FeptideDB web application contains tools for generating all possible peptides cleaved from input protein by various available enzymes. This database was also used for analysis and visualization to assist in bioactive peptide discovery. One module of FeptideDB has the ability to create 3-dimensional peptide structures to further predict inhibitors for the target protein, ACE (angiotensin converting enzyme).

Conclusions:

FeptideDB is freely available to researchers who are interested in exploring bioactive peptides. The FeptideDB interface is easy to use, allowing users to rapidly retrieve data based on desired search criteria. FeptideDB is freely available at http://www4g.biotec.or.th/FeptideDB/. Ultimately, FeptideDB is a computational aid for assessing peptide bioactivities.

KEYWORDS:

Bioactive peptides; Biochemical composition of food; Biochemistry; Bioinformatics; Computer science; Database; Databases; Food biochemistry; Food science; In silico; In silico screening; Information retrieval; Information systems; Web tool

Supplemental Content

Full text links

Icon for Elsevier Science Icon for PubMed Central
Loading ...
Support Center