Using pseudo amino acid composition to predict transmembrane regions in protein: cellular automata and Lempel-Ziv complexity

Transmembrane (TM) proteins represent about 20-30% of the protein sequences in higher eukaryotes, playing important roles across a range of cellular functions. Moreover, knowledge about topology of these proteins often provides crucial hints toward their function. Due to the difficulties in experime...

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Veröffentlicht in:	Amino acids 2008, Vol.34 (1), p.111-117
Hauptverfasser:	Diao, Y, Ma, D, Wen, Z, Yin, J, Xiang, J, Li, M
Format:	Artikel
Sprache:	eng
Schlagworte:	Amino acids Amino Acids - chemistry Amino Acids - metabolism Analytical Chemistry Augmented covariant-discriminant algorithm Biochemical Engineering Biochemistry Biomedical and Life Sciences Cellular automata Chou's invariance theorem Complexity Computational Biology Genetics Lempel-Ziv complexity Life Sciences Mathematical models Membrane Proteins - chemistry Membrane Proteins - metabolism Membranes Models, Molecular Neurobiology Protein Structure, Secondary Protein Structure, Tertiary Proteins Proteomics Pseudo amino acid composition Sequence Analysis, Protein Topology Transmembrane regions
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