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Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes

Bioinformatics, 2005-01, Vol.21 (1), p.10-19

CHOU, Kuo-Chen

2005

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Structural bioinformatics and its impact to biomedical science

Current medicinal chemistry, 2004-08, Vol.11 (16), p.2105-2134

Chou, Kuo-Chen

2004

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Prediction of protein cellular attributes using pseudo-amino acid composition

Proteins, structure, function, and bioinformatics, 2001-05, Vol.43 (3), p.246-255

Chou, Kuo-Chen

2001

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Insights from modelling the 3D structure of the extracellular domain of alpha 7 nicotinic acetylcholine receptor

Biochemical and biophysical research communications, 2004-06, Vol.319 (2), p.433-438

Chou, K

2004

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Molecular Therapeutic Target for Type-2 Diabetes

Journal of proteome research, 2004-11, Vol.3 (6), p.1284-1288

Chou, Kuo-Chen

2004

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A Review of the Factors Affecting the Thermophysical Properties of Silicate Slags

High temperature materials and processes, 2012-10, Vol.31 (4-5), p.301-321

2012

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Prediction of G-Protein-Coupled Receptor Classes

Journal of proteome research, 2005-07, Vol.4 (4), p.1413-1418

Chou, Kuo-Chen

2005

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Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location

The Journal of biological chemistry, 2002-11, Vol.277 (48), p.45765-45769

2002

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A Kinetic Model for Oxidation of Si-Al-O-N Materials

Journal of the American Ceramic Society, 2006-05, Vol.89 (5), p.1568-1576

Chou, Kuo-Chih

2006

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Coupling Interaction between Thromboxane A2 Receptor and Alpha-13 Subunit of Guanine Nucleotide-Binding Protein

Journal of proteome research, 2005-09, Vol.4 (5), p.1681-1686

Chou, Kuo-Chen

2005

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Prediction of Protein Subcellular Locations by Incorporating Quasi-Sequence-Order Effect

Biochemical and biophysical research communications, 2000-11, Vol.278 (2), p.477-483

Chou, Kuo-Chen

2000

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Low-frequency Fourier spectrum for predicting membrane protein types

Biochemical and biophysical research communications, 2005-10, Vol.336 (3), p.737-739

2005

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Modelling extracellular domains of GABA-A receptors: subtypes 1, 2, 3, and 5

Biochemical and biophysical research communications, 2004-04, Vol.316 (3), p.636-642

Chou, Kuo-Chen

2004

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Binding mechanism of coronavirus main proteinase with ligands and its implication to drug design against SARS

Biochemical and biophysical research communications, 2003-08, Vol.308 (1), p.148-151

2003

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Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types

Biochemical and biophysical research communications, 2005-08, Vol.334 (1), p.288-292

2005

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Predicting Protein−Protein Interactions from Sequences in a Hybridization Space

Journal of proteome research, 2006-02, Vol.5 (2), p.316-322

2006

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Insights from Modeling Three-Dimensional Structures of the Human Potassium and Sodium Channels

Journal of proteome research, 2004-07, Vol.3 (4), p.856-861

Chou, Kuo-Chen

2004

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Insights from Modeling the Tertiary Structure of Human BACE2

Journal of proteome research, 2004-09, Vol.3 (5), p.1069-1072

Chou, Kuo-Chen

2004

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Predicting protein structural class by functional domain composition

Biochemical and biophysical research communications, 2004-09, Vol.321 (4), p.1007-1009

2004

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Prediction of Tight Turns and Their Types in Proteins

Analytical Biochemistry, 2000-11, Vol.286 (1), p.1-16

Chou, Kuo-Chen

2000

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Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition

Biochemical and biophysical research communications, 2005-11, Vol.337 (3), p.752-756

2005

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Progress in protein structural class prediction and its impact to bioinformatics and proteomics

Current protein & peptide science, 2005-10, Vol.6 (5), p.423-436

Chou, Kuo-Chen

2005

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Using subsite coupling to predict signal peptides

Protein engineering, 2001-02, Vol.14 (2), p.75-79

Chou, Kuo-Chen

2001

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Using cellular automata images and pseudo amino acid composition to predict protein subcellular location

Amino acids, 2006-02, Vol.30 (1), p.49-54

2006

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Using pseudo amino acid composition to predict protein structural classes: Approached with complexity measure factor

Journal of computational chemistry, 2006-03, Vol.27 (4), p.478-482

2006

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Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes

Structural bioinformatics and its impact to biomedical science

Prediction of protein cellular attributes using pseudo-amino acid composition

Insights from modelling the 3D structure of the extracellular domain of alpha 7 nicotinic acetylcholine receptor

Molecular Therapeutic Target for Type-2 Diabetes

A Review of the Factors Affecting the Thermophysical Properties of Silicate Slags

Prediction of G-Protein-Coupled Receptor Classes

Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location

A Kinetic Model for Oxidation of Si-Al-O-N Materials

Coupling Interaction between Thromboxane A2 Receptor and Alpha-13 Subunit of Guanine Nucleotide-Binding Protein

Prediction of Protein Subcellular Locations by Incorporating Quasi-Sequence-Order Effect

Low-frequency Fourier spectrum for predicting membrane protein types

Modelling extracellular domains of GABA-A receptors: subtypes 1, 2, 3, and 5

Binding mechanism of coronavirus main proteinase with ligands and its implication to drug design against SARS

Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types

Predicting Protein−Protein Interactions from Sequences in a Hybridization Space

Insights from Modeling Three-Dimensional Structures of the Human Potassium and Sodium Channels

Insights from Modeling the Tertiary Structure of Human BACE2

Predicting protein structural class by functional domain composition

Prediction of Tight Turns and Their Types in Proteins

Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition

Progress in protein structural class prediction and its impact to bioinformatics and proteomics

Using subsite coupling to predict signal peptides

Using cellular automata images and pseudo amino acid composition to predict protein subcellular location

Using pseudo amino acid composition to predict protein structural classes: Approached with complexity measure factor

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