Quality Estimation Of Protein Structure Using Machine Learning Approaches : A Survey

Abstract

Protein structure prediction is the most important and challenging problem with bioinformatics because function of protein is determined by its structure. Protein quality assessment plays an important role in the prediction of protein structure. Aim of protein structure prediction is reducing the structure and sequence gap. Protein structure can be determined by using experimental methods. Experimental methods are very time consuming, so we use machine learning approaches to estimation of protein structure like support vector machine, hidden markov model. Assessment of the quality of protein structure is one of the key component for the successful prediction of protein structures. This article provides a detailed survey about quality assessment of protein structures using machine learning approaches.