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BioDADPep: A Bioinformatics database for anti diabetic peptides
1Department of Life Science and Bioinformatics, Assam University Diphu Campus, Diphu, Karbi Anglong 782 462, India.
Bioinformation
|January 7, 2020
Summary
A new database, BioDADPep, consolidates anti-diabetic peptide information. This resource aids in developing novel peptide therapeutics to combat rising diabetes cases and reduce drug side effects.
Area of Science:
- Bioinformatics
- Peptide Science
- Diabetes Research
Background:
- Global rise in diabetes cases necessitates new therapeutic strategies.
- Existing anti-diabetic drugs have associated side effects.
- Organized data on anti-diabetic peptides is crucial for research and development.
Purpose of the Study:
- To develop BioDADPep, a comprehensive, searchable Bioinformatics database for anti-diabetic peptides.
- To consolidate and store existing data on anti-diabetic peptides.
- To facilitate the design of effective anti-diabetic peptide therapeutics.
Main Methods:
- Manual literature search for anti-diabetic peptide data.
- Integration of data from multiple existing peptide databases (e.g., THPdb, ADP3, LAMP).
- Curation and storage of data within a Relational Database Management System (RDBMS).
- Development of a web-based Graphical User Interface (GUI) with a search function.
Main Results:
- Successful development and implementation of the BioDADPep database.
- The database provides cross-references for anti-diabetic peptides.
- A user-friendly, Google-like search functionality is available via a web GUI.
Conclusions:
- BioDADPep serves as a valuable resource for researchers in the field of anti-diabetic peptides.
- The database supports the identification and design of novel peptide-based therapies for diabetes.
- This work contributes to advancing therapeutic strategies for diabetes management.
Keywords:
Diabetes mellitus (DM)anti-diabetic peptidescross reactivitypeptide databasetext miningtherapeutic protein targetsMore Related Videos
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