*A. Stecy and S. Arul Mugilan

P.G. Research Department of Physics, Kamarajar Government Arts College, Surandai, Tamil Nadu-627859 (India), Affiliated to Manonmaniam Sundaranar University, Tirunelveli-627012 (India) *Reg. No. 21111062132004 *Corresponding Author E-mail : astecy2705@gmail.com

ABSTRACT

Bio-computing plays a key role in macromolecular research and has created a chief impact in evaluating the sequencing and structure of the protein. Protein-ligand interaction at atomic resolution enables the design of small-molecule drugs for disease treatment. Here we present the analysis of different SARS Cov proteins that shortly interacted with NAG (N-Acetylglucosamine). Amino acids interact preferentially with ligands that are close in space and are represented graphically. In the above study, most of the data from the PDB indicate that the amino acid Arginine easily binds with the ligand NAG at a distance of around 3 AÚ. The structure of various protein IDs were visualized and their bond lengths are calculated using Python programming. Using the visualization tool, we clearly get to know that the protein IDs of Sars CoV favors 90% of Beta turn structure. The above analysis is beneficial for computation in addition to experimental biologists in field of drug designing.

Key words : NAG, PDB, RasMol, Python.

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