Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou's general PseAAC and Support Vector Machine

Computer Methods and Programs in Biomedicine

Volumn 116, Issue 3, 2014, Pages 184-192

  Hayat, Maqsood ^a   Iqbal, Nadeem ^a  

^a ABDUL WALI KHAN UNIVERSITY   (Pakistan)

Author keywords

Protein structure classes; PseAA composition; Pseudo Average Chemical Shift; SVM

Indexed keywords

AMINO ACIDS; BENCHMARKING; CHEMICAL SHIFT; FEATURE EXTRACTION; SUPPORT VECTOR MACHINES;

BENCHMARK DATASETS; BIOLOGICAL FUNCTIONS; COMPUTATIONAL MODEL; CONVENTIONAL METHODS; IDENTIFICATION OF PROTEINS; PROTEIN STRUCTURES; PSEUDO AMINO ACID COMPOSITIONS; SVM;

PROTEINS;

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PROTEIN STRUCTURE; SUPPORT VECTOR MACHINE; ALGORITHM; AUTOMATED PATTERN RECOGNITION; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; MOLECULAR GENETICS; PROCEDURES; PROTEIN CONFORMATION; SEQUENCE ANALYSIS; ULTRASTRUCTURE;

PROTEIN;

ALGORITHMS; AMINO ACID SEQUENCE; COMPUTER SIMULATION; MODELS, CHEMICAL; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PATTERN RECOGNITION, AUTOMATED; PROTEIN CONFORMATION; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SUPPORT VECTOR MACHINES;

EID: 84904506417     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2014.06.007     Document Type: Article

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