Prediction of protein subcellular location using hydrophobic patterns of amino acid sequence

DOI10.1016/j.compbiolchem.2006.08.003zbMath1119.92033OpenAlexW2060963121WikidataQ51933758 ScholiaQ51933758MaRDI QIDQ883825

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

Publication date: 12 June 2007

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2006.08.003

zbMATH Keywords

Average power spectrum densityCovariant-discriminantHydrophobic patternsImmune-genetic algorithmSubcellular location

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40)

Related Items (5)

Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes ⋮ CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition ⋮ Protein sequence complexity revisited. relationship with fractal 3D structure, topological and kinetic parameters ⋮ Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity pattern ⋮ Protein subcellular location prediction using optimally weighted fuzzy \(k\)-NN algorithm

Cites Work

• The method to compare nucleotide sequences based on the minimum entropy principle
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