Synopsis of
Computational Analysis of Single Nucleotide Polymorphism (SNPs) of Liver cancer, Breast cancer, and Lung cancer

B.Sc Hons. Biotechnology

Institute of Industrial Biotechnology
GOVT.COLLEGE UNIVERSITY LHR.

INTRODUCTION
Single nucleotide polymorphisms (SNPs), present in the protein encoding regions of the genome can have a profound influence on the structure and function of a protein. Simply these are the changes that could be silent or can be expressive, but mostly are silent. SNPs sometimes have very deleterious effects, such as change in only one nucleotide can cause missarrangement of whole of the sequence and thus codon is misread, accordingly wrong protein will form. In this study effect of SNPs on cancerous diseases will be studied. Many genes have been reported whicg have many silent and some expressive but deleterious mutations or SNPs. We will use different databases to collect the relevant data of SNPs and genes such as FASTA sequence, position, number of chromosome etc. then by usin different softwares for computational analysis of SNPs, this data will be explained on genomic level. To analyse the effect on protein level computational analysis of codones will be done. This give a brief role of SNPs(change) and its effect(disease).

OBJECTIVE and SCOPE
Main purpose of this work is to find out the mechanism through which SNPs cause changes at protein level. As the data will provide briefly the changes in the gene (at nucleotide level) and also in the protein (at codon level), to completely clarify the cause and effect relationship. This understanding will help in different human health and welfare issues such as structural designing of drug, gene silencing, gene targeting, and anticancerous drug designing etc.

DESCRIPTION of RESEARCH WORK
For the analysis of the SNPs in relation with cancerous