Extraction of Contact Maps for Cervical and Breast Cancer Proteins 3d-Structures

Protein contact map prediction is one of the major research problems in bioinformatics. By this prediction contact map and feature extraction of the primary sequence is known which is useful for determining contact maps. Many researchers have worked on predicting contact maps from protein sequences using different techniques and proposed different prediction algorithms but the accurate result is not determined. In the proposed method the contact map prediction problem based on the primary sequence is performed. Feature extraction method is proposed to extract different features from the protein sequences. After that different machine learning methods are applied to predict contact maps from that features of contact maps like number of atoms. Machine learning algorithms efficiently handle the prediction. The results are better than the existing methods which validate the simple analysis on different Breast Cancer and Cervical Cancer Proteins with Contact maps and feature extraction fields.