Predicting the protein solubility by integrating chaos games representation and entropy in information theory

作者：

Highlights：

• The concept of the upgrade chaos game representation is proposed to predict protein solubility.

• We integrated the upgrade chaos game representation and entropies in information theory.

• The results demonstrate that the sequence-based method is an effective way.

• Among these chaos game representations, triangle polygon CGR perform best.

摘要

•The concept of the upgrade chaos game representation is proposed to predict protein solubility.•We integrated the upgrade chaos game representation and entropies in information theory.•The results demonstrate that the sequence-based method is an effective way.•Among these chaos game representations, triangle polygon CGR perform best.

论文关键词：Protein solubility,Pseudo amino acid composition,Entropy in information theory,Chaos game representation,Support Vector Machine

论文评审过程：Available online 31 August 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.08.064