Prediction of novel archaeal enzymes from sequence-derived features

Protein Science

Volumn 11, Issue 12, 2002, Pages 2894-2898

  Jensen, Lars Juhl ^a   Skovgaard, Marie ^a   Brunak, Søren ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Archaea; Enzyme classification; Function prediction; Glycosylation; Secondary structure

Indexed keywords

BACTERIAL ENZYME; ENZYME;

AMINO ACID SEQUENCE; ARCHAEBACTERIUM; ARTICLE; CLASSIFICATION; ENZYME ANALYSIS; ENZYME STRUCTURE; NONHUMAN; PHYLOGENY; PHYSICAL CHEMISTRY; PREDICTION; PRIORITY JOURNAL; PROTEIN GLYCOSYLATION; PROTEIN PROCESSING; PROTEIN SECONDARY STRUCTURE; SEQUENCE HOMOLOGY; ARTIFICIAL NEURAL NETWORK; BIOLOGY; CHEMISTRY; ENZYMOLOGY; GLYCOSYLATION; METHODOLOGY; PROTEIN MOTIF; STRUCTURE ACTIVITY RELATION;

ARCHAEA; BACTERIA (MICROORGANISMS);

AMINO ACID MOTIFS; AMINO ACID SEQUENCE; ARCHAEA; COMPUTATIONAL BIOLOGY; ENZYMES; GLYCOSYLATION; NEURAL NETWORKS (COMPUTER); PHYLOGENY; PROTEIN STRUCTURE, SECONDARY; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 0036892449     PISSN: 09618368     EISSN: None     Source Type: Journal    
DOI: 10.1110/ps.0225102     Document Type: Article

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