Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence

BMC Bioinformatics

Volumn 7, Issue , 2006, Pages

  Du, Pufeng ^a   Li, Yanda ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EXTENDED VERSIONS; LEAVE-ONE-OUT CROSS VALIDATIONS; LOCATION PREDICTION; MEMBRANE PROTEINS; PHYSICOCHEMICAL FEATURES; PREDICTION ACCURACY; PROTEIN LOCALIZATION; PROTEIN SUBCELLULAR LOCATION;

AMINO ACIDS; BIOLOGICAL MEMBRANES; FORECASTING; MITOCHONDRIA;

PROTEINS;

AMINO ACID; MEMBRANE PROTEIN; MITOCHONDRIAL PROTEIN; PROTEOME; PEPTIDE FRAGMENT; PROTEIN;

ACCESS TO INFORMATION; ACCURACY; AMINO ACID SEQUENCE; ARTICLE; BIOINFORMATICS; CELLULAR DISTRIBUTION; CONTROLLED STUDY; HYBRIDIZATION; INTERNET; NONHUMAN; PHYSICAL CHEMISTRY; PREDICTION; PROTEIN LOCALIZATION; PROTEIN STRUCTURE; SEQUENCE ANALYSIS; STRUCTURE ANALYSIS; VALIDATION PROCESS; ARABIDOPSIS; BIOLOGY; CHEMISTRY; GENETICS; MITOCHONDRIAL MEMBRANE; MOLECULAR GENETICS; PHYSIOLOGY; PREDICTIVE VALUE; PROCEDURES; SUBMITOCHONDRIAL PARTICLE;

AMINO ACID SEQUENCE; ARABIDOPSIS; CHEMISTRY, PHYSICAL; COMPUTATIONAL BIOLOGY; MITOCHONDRIAL MEMBRANES; MOLECULAR SEQUENCE DATA; PEPTIDE FRAGMENTS; PHYSICOCHEMICAL PHENOMENA; PREDICTIVE VALUE OF TESTS; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SUBMITOCHONDRIAL PARTICLES;

EID: 33846010187     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-518     Document Type: Article

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