IPSNN: Identification of Protein Structure based Neural Network

Abstract

Protein structures play key roles in many fields of biology. However, identification of protein structural types from protein sequences seems to be a challenge issue. In this work, protein structure prediction issue can be regarded as the peptide segments. The neural network, whose parameters is optimized by the PSO algorithm. And then, the sample can be described by the amino acid energy interaction, which is a novel feature, in this work. The results show that the IPSNN algorithm has better performances than other art-of-the-state methods.