Transmembrane helix prediction using amino acid property features and latent semantic analysis

BMC Bioinformatics

Volumn 9, Issue SUPPL. 1, 2008, Pages

  Ganapathiraju, Madhavi ^a   Balakrishnan, N ^b   Reddy, Raj ^a   Klein Seetharaman, Judith ^a,c  

^a Carnegie Mellon University   (United States)

^b INDIAN INSTITUTE OF SCIENCE   (India)

^c UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID PROPERTIES; BINARY CLASSIFIERS; ENVELOPE GLYCOPROTEINS; EXTRACTING FEATURES; HIGH-RESOLUTION DATASETS; LATENT SEMANTIC ANALYSIS; SEQUENCE INFORMATIONS; TRANSMEMBRANE HELIX PREDICTION; ANALYSIS PROBLEMS; AQUAPORINS; AROMATICITIES; BENCHMARK ANALYSIS; CHANNEL PROTEINS; ERROR RATE; EXTRACELLULAR; F-SCORE; FREE PARAMETERS; HIGH RESOLUTION; K+ CHANNELS; MEMBRANE PROTEINS; NOVEL ARCHITECTURE; OVERFITTING; POTENTIAL APPLICATIONS; PREDICTION METHODS; PROTEIN SEQUENCES; SINGLE STATE; TEXT DOCUMENT; TRAINING DATA; TRANSMEMBRANES;

AMINO ACIDS; BIOLOGICAL MEMBRANES; ELECTRONIC PROPERTIES; FORECASTING; SEMANTICS; TOPOLOGY; BIOINFORMATICS; WEBSITES;

PROTEINS;

AMINO ACID; AQUAPORIN; MEMBRANE PROTEIN; POTASSIUM CHANNEL; VIRUS ENVELOPE PROTEIN;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CRYSTAL STRUCTURE; CYTOPLASM; EXTRACELLULAR MATRIX; HYDROPHOBICITY; INFORMATION; PREDICTION; PROTEIN ANALYSIS; SEMANTICS; STATISTICAL ANALYSIS; ALGORITHM; ARTIFICIAL INTELLIGENCE; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; METHODOLOGY; MOLECULAR GENETICS; PROTEIN CONFORMATION; SEQUENCE ANALYSIS;

ALGORITHMS; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; MEMBRANE PROTEINS; MODELS, CHEMICAL; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PROTEIN CONFORMATION; SEMANTICS; SEQUENCE ANALYSIS, PROTEIN;

EID: 84872004750     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-S1-S4     Document Type: Article

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