An overview on predicting the subcellular location of a protein

In Silico Biology

Volumn 2, Issue 3, 2002, Pages 291-303

  Feng, Zhi Ping ^a,b  

^a TIANJIN UNIVERSITY   (China)

^b NANKAI UNIVERSITY   (China)

Author keywords

Amino acid composition; Auto correlation functions; Bayes discriminant algorithm; Component coupled algorithm; Hidden Markov model; Hydrophobicity; Jackknife test; K nearest neighbor method; N terminal targeting sequences; Neural networks; Pairwise sequence similarity; Pseudo amino acid composition; Quasi sequence order effect; Sorting signals; Subcellular location; Support Vector Machine (SVM); Targeting information; Unified attribute vector; Zp curve; Zp parameters

Indexed keywords

AMINO ACID; PROTEIN;

ACCURACY; ALGORITHM; AMINO ACID COMPOSITION; AMINO TERMINAL SEQUENCE; ANALYTICAL PARAMETERS; BAYES THEOREM; CELLULAR DISTRIBUTION; CLINICAL PRACTICE; COMPUTER PROGRAM; CONFERENCE PAPER; CORRELATION FUNCTION; DATA BASE; HUMAN; HYDROPHOBICITY; MATHEMATICAL COMPUTING; MODEL; NERVE CELL NETWORK; NUCLEIC ACID DATABASE; PREDICTION; PROTEIN LOCALIZATION; PROTEIN TARGETING; SEQUENCE ANALYSIS; TERMINAL SEQUENCE; CELL FRACTIONATION; METABOLISM; REVIEW;

ALGORITHMS; BAYES THEOREM; PROTEINS; SUBCELLULAR FRACTIONS;

EID: 0036459850     PISSN: 13866338     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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