A Review on Protein Structure Classification Based On Distance Feature

  • Margie shah et al.

Abstract

In Bioinformatics field Protein Structure Classification is the most important task. The known proteins have been classified based on their level, feature, function, amino acid and family and superfamily. Protein structure divided in to four type: all-? protein structure, all-? protein structure, ?+? protein structure and ?/? protein structure. Use of traditional way to perform classification is very difficult and time consuming task. Number of advanced Machine Intelligence computing techniques like Support Vector Machine, Random Forest, Artificial Neural Network, Decision Tree and Nae Bayes Classifier had been proposed in the literature. Our objective in this research paper is to develop a system that performs better than previous predictors for protein structure classification by considering the distance among the different amino acid residues. To examine the performance of proposed work different datasets will be used.

Published
2019-12-03