Hirak Jyoti Chakraborty1, Sayak Ganguli2*, Protip Basu3, Paushali Roy4, Abhijit Datta5
1DBT-Centre for Bioinformatics, Presidency College, Kolkata, India.
2DBT-Centre for Bioinformatics, Presidency College, Kolkata, India.
3DBT-Centre for Bioinformatics, Presidency College, Kolkata, India.
4DBT-Centre for Bioinformatics, Presidency College, Kolkata, India.
5DBT-Centre for Bioinformatics, Presidency College, Kolkata, India.
* Corresponding Author : sayakbif@yahoo.com
Received : - Accepted : - Published : 21-12-2010
Volume : 2 Issue : 2 Pages : 1 - 6
Int J Bioinformatics Res 2.2 (2010):1-6
DOI : http://dx.doi.org/10.9735/0975-3087.2.2.1-6
Keywords : Lantibiotics, bacteriocin, homology modelling, Pocket Identification
Conflict of Interest : None declared
Bacterial peptides of low molecular weight displaying antagonism towards other bacterial members are referred to as bacteriocins. Bacteriocins are an essential member of the broadly classified group of lantibiotics which finds several commercial uses. This work comprises of the determination of structure of the most important class of bacteriocins – the leucocin group. Structure elucidation was performed using homology modelling approach and the modeled structure was validated using their Ramachandran calculations. Ligand interaction pockets were identified by calculating the Delaunay triangulation number and structural properties of amino acids were documented. Structure elucidations of such lantibiotics are important for future endeavours towards analyses of protein - protein interactions.
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