Title

Authors

Affiliation

¹Department of Molecular Biology & Genetic Engineering College of Basic Sciences & Humanities G.B. Pant University of Agriculture & Technology, Pantnagar-263 145 India; ²Department of Biotechnology, Ministry of Science & Technology, New Delhi- 110003

Email

anilkumar.mbge@gmail.com; *Corresponding author

Article Type

Database

Date

Received October 22, 2012; Revised December 01, 2012; Accepted December 03, 2012; Published April 13, 2013

Diabetes, a chronic disease debilitating to normal healthy lifestyle, onsets due to insufficient amount of insulin production or ineffective utilization of the amount produced. Although, pharmaceutical research has brought up remedial drugs and numerous candidates in various phases of clinical trials, off-target effects and unwanted physiological actions are a constant source of concern and contra indicatory in case of diabetic patients. Here we present a phytoremedial database, Phyto Diab Care, broadly applicable to any known anti-diabetic medicinal plant and phytochemicals sourced from them. Utilization of the traditional medicine knowledge for combating diabetes without creating unwanted physiological actions is our major emphasis. Data collected from peer-reviewed publications and phytochemicals were added to the customizable database by means of an extended relational design. The strength of this resource is in providing rapid retrieval of data from large volumes of text at a high degree of accuracy. Enhanced web interface allows multi-criteria based information filtering. Furthermore, the availability of 2D and 3D structures from molecular docking studies with any efficacy on the insulin signaling pathway makes the resource searchable and comparable in an intuitive manner. Phyto Diab Care compendium is publicly available and can be found online.

Availabilty

http://www.gbpuat-cbsh.ac.in/departments/bi/database/phytodiabcare/HOME%20PAGE/Home%20page.html

Keywords

Diabetes, Phytochemicals, Insulin signaling pathway, Phyto Diab Care.

Citation

Luhach et al.  Bioinformation 9(7): 375-377 (2013)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

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.