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Bioinformation. 2019 Nov 13;15(11):780-783. doi: 10.6026/97320630015780. eCollection 2019.

BioDADPep: A Bioinformatics database for anti diabetic peptides.

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1
Department of Life Science and Bioinformatics, Assam University Diphu Campus, Diphu, Karbi Anglong 782 462, India.

Abstract

The increasing number of cases for diabetes worldwide is a concern. Therefore, it is of interest to design therapeutic peptides to overcome side effects caused by the available drugs. It should be noted that data on several known anti-diabetic peptides is available in the literature in an organized manner. Hence, it is of interest to collect, glean and store such data in form of a searchable database supported by RDBMS. Data on anti-diabetic peptides and their related data are collected from the literature using manual search. Data on related peptides from other databases (THPdb, ADP3, LAMP, AHTPDB, AVPdb, BioPepDB, CancerPPD, CPPsite, DRAMP, SATPdb, CAMPR3 and MBPDB) are also included after adequate curation. Thus, we describe the development and utility of BioDADPep, a Bioinformatics database for anti-diabetic peptides. The database has cross-reference for antidiabetic peptides. The database is enabled with a web-based GUI using a simple Google-like search function. Data presented in BioDADPep finds application in the design of an effective anti-diabetic peptide.

KEYWORDS:

Diabetes mellitus (DM); anti-diabetic peptides; cross reactivity; peptide database; text mining; therapeutic protein targets

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