Physicochemical characterization and functional site analysis of lactoferrin gene of Vechur cow



Anisha Shashidharan, Ruchi Singh, Salini Bhasker, Chinnamma Mohankumar*



SCMS Institute of Bioscience and Biotechnology Research and Development, South Kalamassery, Cochin- 682033, India


Email; *Corresponding author


Article Type




Received May 18, 2011; Accepted June 01, 2011; Published June 23, 2011



The Bos indicus Vechur breed cow milk is known for its medicinal value and the breed is listed under the category of critically maintained breeds by the Food and Agriculture Organization. The lactoferrin protein in milk is known for its nutritional value. Gene polymorphisms have been reported for Bovine lactoferrin. Mutations in the evolutionarily conserved sites tend to impair protein function and are related with the physicochemical difference between the known variants with 11 SNPs within the wild type. Structural differences are located due to these SNPs that may lead to functional variations. The structural variation is seen primarily in the first 48 residues at 5 end in all the samples modelled. Out of 11 SNPs 5 amino acid variations fall under alpha helix and beta sheet region, this might be of functional significance. This result may provide evidence that the SNPs detected in lactoferrin gene might have potential effects on milk composition. Our result demonstrates one major domain that could be a common binding pocket to all the samples, and important as an active site common to all the breeds that could be utilized for effective drug designing. Moreover, at some SNP positions in Vechur breed, antimicrobial peptides were located indicating importance of those residues for enhanced antimicrobial activity in lactoferrin of Vechur breed. Second binding pocket found in N- lobe region with the three required residues aspartic acid, histidine and tyrosine for iron binding, was considered as major binding site.



Vechur; Critical Breed; Lactoferrin; Bioinformatics; SNP.



Shashidharan et al. Bioinformation 6(7): 275-278 (2011)

Edited by

P Kangueane






Biomedical Informatics



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