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Khosravian, M., Faramarzi, F.K., Beigi, M.M., Behbahani, M. and Mohabatkar, H. (2013) Predicting Antibacterial Peptides by the Concept of Chou’s Pseudo Amino Acid Composition and Machine Learning Methods. Protein & Peptide Letters, 20, 180-186.
https://doi.org/10.2174/092986613804725307

has been cited by the following article:

• TITLE: The Significant and Profound Impacts of Chou’s Pseudo Amino Acid Composition or PseAAC

  AUTHORS: Kuo-Chen Chou

  KEYWORDS: Pseudo Amino Acid Composition, PseAAC, Significant Impacts, Profound Impacts

  JOURNAL NAME: Natural Science, Vol.12 No.9, September 15, 2020

  ABSTRACT: In this short review paper, the significant and profound impacts of the Pseudo Amino Acid Composition or PseAAC have been briefly presented with crystal clear convincingness.