Abstract

Backgrounds: In the last decade, the computational prediction of structural and functional protein attributes has been applied in nearly every field of protein science. The fundamental challenge of computationally predicting protein attributes is to represent the protein sequence in a length-fixed digital vector. For this purpose, Chou proposed a pseudo-amino acid composition method that has been widely applied in almost every branch of computational protein science.

Conclusions: In this review, we will first introduce the background and history of pseudo-amino acid composition and focus on the software implementation of this widely used algorithm and the enhancements that have been developed since its creation.

Keywords: Pseudo-amino acid composition, PseAAC Server, PseAAC-Builder, algorithm enhancements.