Bioinformatic Analysis of Alzheimer’s Disease and Type2 Diabetes Mellitus: A Bioinformatic Approach |
Allam Appa Rao1, Siva Prasad Akula2, Hanuman Thota2, Srinubabu Gedela1* |
| 1International Center for Bioinformatics and Center for Biotechnology, Andhra University College of Engineering (Autonomous), Visakhapatnam-530003, India |
| 2Department of Computer Sciences and Engineering, Acharya Nagarjuna University, Guntur-522510, India |
| *Corresponding author: |
Dr. Srinubabu Gedela, International Center for Bioinformatics, Center for biotechnology, College of Engineering, Andhra University, Visakhapatnam- 530 003, Andhra Pradesh, India,
Phone: +91-891-2844204 (Off),
Fax: +91-891- 2747969,
E-mail: srinubabuau6@gmail.com |
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| Received April 20, 2008; Accepted May 15, 2008; Published May 25, 2008 |
| Citation: Allam AR, Siva PA, Hanuman T, Srinubabu G (2008) Bioinformatic Analysis of Alzheimer’s Disease and Type2 Diabetes Mellitus: A Bioinformatic Approach. J Proteomics Bioinform S1: S050-S054. doi:10.4172/jpb.s1000009 |
| Copyright: ©2008 Allam AR, etal. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| Abstract |
We evaluated the role of several proteins that are likely to be involved in alzheimers disease (AD) and type 2 diabetes mellitus
(T2DM). By employing multiple sequence alignment using Clustalw tool, we have constructed a phylogenetic tree based on the
functional protein sequences extracted form NCBI. The phylogram was constructed using neighbor joining algorithm. Our
bioinformatic analysis reported that the two proteins such as AChE and BChE are playing major role in both the diseases out
of ten common proteins between these two diseases. Our in silico study may pave way for new therapeutic interventions/biomarker
identification in alzimers disease associated diabetes mellitus. |
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