Data mining techniques to study the disulfide-bonding state in proteins: Signal peptide is a strong descriptor

Bioinformatics

Volumn 20, Issue 16, 2004, Pages 2509-2512

  Tessier, Dominique ^a   Bardiaux, Benjamin ^a   Larré, Colette ^a   Popineau, Yves ^a  

^a CEMAGREF   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CYSTEINE; DISULFIDE; MEMBRANE PROTEIN; SIGNAL PEPTIDE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BINDING KINETICS; CELLULAR DISTRIBUTION; COMPUTER PROGRAM; CONTROLLED STUDY; DISULFIDE BOND; ENDOPLASMIC RETICULUM; EUKARYOTIC CELL; GENETIC CONSERVATION; INFORMATION PROCESSING; PREDICTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN DATABASE; PROTEIN FOLDING; PROTEIN STRUCTURE;

EUKARYOTA;

EID: 8844261124     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bth332     Document Type: Article

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