International Journal of Biomedical Science       4(1) 70-73                 

© 2005 Master Publishing Group

Original Article      [FullText]      [PDF]

Bioinformatic Analysis of Functional Proteins Involved in Obesity Associated with Diabetes
Allam Appa Rao, N. Manga Tayaru1, Hanuman Thota2,Suresh Babu Changalasetty2, Lalitha Saroja Thota3, Srinubabu Gedela1

1 International Center for Bioinformatics, Department of Computer Science and Systems Engineering, Andhra University, India

2 Department of Computer Sciences and Engineering, Acharya Nagarjuna University, India

3 Annamailai University, India

Corresponding Author: Srinubabu Gedela, International Center for Bioinformatics, Center for biotechnology, Andhra University College of Engineering (Autonomous), Visakhapatnam-3, Pin Code: 530 003, Andhra Pradesh, India. Tel: +91-8941-216037(Res)/+91-891-2844204(Off); Fax: +91-891-2747969; E-mail: srinubabuau6@gmail.com.

bioinformatics, resistin, obesity and type two diabetes
  The twin epidemic of diabetes and obesity pose daunting challenges worldwide. The dramatic rise in obesity-associated diabetes resulted in an alarming increase in the incidence and prevalence of obesity an important complication of diabetes. Differences among individuals in their susceptibility to both these conditions probably reflect their genetic constitutions. The dramatic improvements in genomic and bioinformatic resources are accelerating the pace of gene discovery. It is tempting to speculate the key susceptible genes/proteins that bridges diabetes mellitus and obesity. In this regard, we evaluated the role of several genes/proteins that are believed to be involved in the evolution of obesity associated diabetes by employing multiple sequence alignment using ClustalW tool and constructed a phylogram tree using functional protein sequences extracted from NCBI. Phylogram was constructed using Neighbor-Joining Algorithm a bioinformatic tool. Our bioinformatic analysis reports resistin gene as ominous link with obesity associated diabetes. This bioinformatic study will be useful for future studies towards therapeutic inventions of obesity associated type 2 diabetes.


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