Informational and Statistical Iterative Analysis of Protein Secondary Structure Prediction

Abstract

Protein structure prediction plays an important role in structural biology and bioinformatics. There are more than 240,000 entries in the protein sequence database, but only 4,000 entries in the protein structure database since it is more difficult to find the protein structure than its sequence. In this chapter, we introduce a novel algorithm known as the informational and statistical calculation algorithm for protein secondary structure prediction (PSSP). This algorithm is based on statistics and information theory. We first calculate the conditional entropy and mutual information of protein primary and secondary structures. Using this information, we give a corresponding recursive algorithm for PSSP.