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Copyright © 2012 | AIZEON publishers | All rights reserved

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ABSTRACT   REFERENCES  
Journal of Bioinformatics and Research 1(1) 2012: 15-20

Influence of Blast, Fasta and Wu-Blast algorithms on sequence alignments and 3-D structure prediction of DPP-IV


P. Kanchanamala1*, Appa Rao Allam2, P. Srinivasa Rao3, G. R. Sridhar4

1Department of Information Technology, Dadi Institute of Engineering & Technology, NH-5, Anakapalle, Visakhapatnam, India.
2Vice-Chancellor, Jawaharlal Nehru Technological University Kakinada, Kakinada, India.
3Prof, Department of CS & SE, College of Engineering, Andhra University, India.
4MD, Endocrine & Diabetes Centre, Visakhapatnam, India.

* To whom correspondence should be addressed. Email: kanchanakanta@gmail.com

ABSTRACT

CD26/Dipeptidyl Peptidase IV (DPPIV) is a 110-kDa glycoprotein that is expressed on numerous cell types and has multiple biological functions. DPPIV is highly expressed on endothelial cells, epithelial cells and lymphocytes. DPPIV is involved in the regulation of several important physiological processes such as immune system, cell adhesion and glucose homeostasis. DPPIV inhibitors are thought to improve glycemic control in early stage Type II diabetes by reducing DPPIV-mediated inactivation of GLP-1. Sequence analysis and homology modeling studies of DPP-IV was carried out using NCBI BLAST, Fasta and Wu-Blast programs. ClustalW multiple alignment was done to identify highly conserved residues in DPP-IV on one hand and functionally important residues or mutations are identified by comparing multiple alignments with 3-dimensional structures of proteins from pdbsum database. Homology modeling routine was employed using Modeller 8.1 software.

Copyright © 2012 | AIZEON publishers | All rights reserved

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Citation: Kanchanamala P, Allam AR, Rao PS and Sridhar GR (2012). Influence of Blast, Fasta and Wu-Blast algorithms on sequence alignments and 3-D structure prediction of DPP-IV. Journal of Bioinformatics and Research 1(1): 15-20

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