Title
BioDADPep: A Bioinformatics database for anti-diabetic peptides
Authors
Susanta Roy* & Robindra Teron
Affiliation
Department of Life Science and Bioinformatics, Assam University Diphu Campus, Diphu, Karbi Anglong 782 462, India
Susanta Roy - Email: susantoroy@gmail.com
Article Type
Research Article
Date
Received October 19, 2019; Revised November 7, 2019; Accepted November 9, 2019; Published November 13, 2019
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 antidiabetic 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), therapeutic protein targets, anti-diabetic peptides, text mining, peptide database, cross reactivity
Citation
Roy & Teron, Bioinformation 15(11): 780-783 (2019)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
