Predicting protein-protein interactions by combing various sequence-derived features into the general form of chou's pseudo amino acid composition

Protein and Peptide Letters

Volumn 19, Issue 5, 2012, Pages 492-500

  Zhao, Xiao Wei ^a   Ma, Zhi Qiang ^a   Yin, Ming Hao ^a  

^a NORTHEAST NORMAL UNIVERSITY   (China)

Author keywords

Prediction; Principal component analysis (PCA); Protein sequences; Protein protein interactions; Support vector machine (SVM)

Indexed keywords

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ANALYTICAL PARAMETERS; ARTICLE; AUTOCORRELATION DESCRIPTOR; CHOU PSEUDO AMINO ACID COMPOSITION DESCRIPTOR; CONTROLLED STUDY; COST EFFECTIVENESS ANALYSIS; DROSOPHILA MELANOGASTER; GEARY AUTOCORRELATION DESCRIPTOR; HELICOBACTER PYLORI; JACKKNIFE TEST; MATHEMATICAL MODEL; MORAN AUTOCORRELATION DESCRIPTOR; NONHUMAN; NORMALIZED MOREAU BROTO AUTOCORRELATION DESCRIPTOR; PHYSICAL CHEMISTRY; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PROTEIN PROTEIN INTERACTION; SEQUENCE ORDER DESCRIPTOR; SUPPORT VECTOR MACHINE;

AMINO ACIDS; BACTERIAL PROTEINS; DATABASES, PROTEIN; DROSOPHILA PROTEINS; PRINCIPAL COMPONENT ANALYSIS; PROTEIN INTERACTION MAPPING; SEQUENCE ANALYSIS, PROTEIN; SUPPORT VECTOR MACHINES;

DROSOPHILA MELANOGASTER;

EID: 84860584265     PISSN: 09298665     EISSN: None     Source Type: Journal    
DOI: 10.2174/092986612800191080     Document Type: Article

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