Detection Of Significant Patterns In Cervical And Breast Cancer Proteins

Abstract

Cancers of the cervix and breast kill more women than any other forms of cancer in all parts of the developing world. According to the world health organization(WHO) that the woman who is suffering from human papillomavirus(HPV) infection are vulnerable of developing breast cancer over a lifetime. In this project, the secondary structures and most significant patterns in both cervical and breast cancer proteins are identified using a protein contact map. The contact among the amino acid residues is represented by a two-dimensional matrix known as Protein Contact Map. These ideas have prospected in the structural class of all-alpha, all-beta, alpha+ beta and alpha/beta proteins to identify structural elements. Our proposed method obtained an accuracy of 92% for the process of prediction of secondary structures as compared to the previous related works. The method successfully predicts the secondary structures and significant patterns at the off-diagonal interactions in the contact map. In future, a better understanding of these extracted features will helps to predict whether a person suffering from cervical cancer is vulnerable of developing breast cancer over a lifetime.