Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity

Tong-Liang Zhang1, Yong-Sheng Ding, Kuo-Chen Chou

  • 1College of Information Sciences and Technology, Donghua University, China.

Summary

Pseudo-amino acid (PseAA) composition enhances protein attribute prediction by incorporating sequence information. This novel method uses approximate entropy and hydrophobicity patterns, achieving encouraging results in protein structural classification.

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