In silico analysis of SNPs of SYK gene Involved in Oral Cancer

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  1. Sarita Swain1,
  2. Sucharita Balabantray1,
  3. Santosh kumar Behera2

Authors Affiliation(s)

  • 1Orissa University of engineering and technology, Bhubaneswar, INDIA
  • 2Regional Medical Research Centre, Bhubaneswar, INDIA

Can J Biotech, Volume 1, Special Issue-Supplement, Page 232, DOI: https://doi.org/10.24870/cjb.2017-a217

Presenting author: swain.sarita27@gmail.com

Abstract

Oral cancer is the sixth most common cancer in the world. Oral cancer is the cancer of the oral cavity and pharynx, including cancer of the lip, tongue, salivary glands, gum, floor and other areas of the mouth. The aim of the study is to identify SNPs using dbSNP and predict the effect of mutation using Predict SNP. The association of genes is done by STRING. The disease and drugs associated with the genes are obtained from Webgestalt. The prediction of binding site is done by CASTp. The interaction of ligand and protein is done by using Autodock and Visualised through Discovery studio, pymol, Ligplot. From this report we found that oral cancer differs from person to person based on their genes and genetic interactions and expressions which recommend the clinicians to go for personalized medicine rather that generalized medicine for the patients with oral cancer. Seeking the importance of genetic background of oral cancer patients further studies can be done by mining of non-synonymous SNPs associated with genes for causing oral cancer.

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