Protein fold recognition model based on cubic lattice

Abstract

Proteins are essential for the biological processes in the human body. They can only perform their functions when they fold into their tertiary structure. We propose a novel fold recognition method for protein tertiary structure prediction based on a hidden Markov model and 3D coordinates of amino acid residues in 3D space. The method introduces states based on the basis vectors in Bravais cubic lattice to recognise the fold of proteins. The accuracy of proposed model is quite better in comparison with SAM, 3-HMM optimised and Markov chain in overall experiment.