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Volumn 330, Issue 4, 2003, Pages 719-734
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Using a neural network and spatial clustering to predict the location of active sites in enzymes.
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Author keywords
[No Author keywords available]
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Indexed keywords
ALPHA N ARABINOFURANOSIDASE;
ALPHA-N-ARABINOFURANOSIDASE;
BACTERIAL PROTEIN;
ENZYME;
FEMA PROTEIN, BACTERIA;
GLYCOSIDASE;
GLYCOSYLTRANSFERASE;
HISTONE LYSINE METHYLTRANSFERASE;
METHYLTRANSFERASE;
NICOTINATE NUCLEOTIDE DIPHOSPHORYLASE (CARBOXYLATING);
NICOTINATE-NUCLEOTIDE DIPHOSPHORYLASE (CARBOXYLATING);
RRNA (ADENOSINE O 2' )METHYLTRANSFERASE;
RRNA (ADENOSINE-O-2'-)METHYLTRANSFERASE;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BINDING SITE;
BIOLOGY;
CHEMICAL STRUCTURE;
CHEMISTRY;
COMPUTER PROGRAM;
ENZYME ACTIVE SITE;
INTRON;
PROTEIN TERTIARY STRUCTURE;
ALGORITHMS;
BACTERIAL PROTEINS;
BINDING SITES;
CATALYTIC DOMAIN;
COMPUTATIONAL BIOLOGY;
ENZYMES;
GLYCOSIDE HYDROLASES;
HISTONE-LYSINE N-METHYLTRANSFERASE;
INTRONS;
METHYLTRANSFERASES;
MODELS, MOLECULAR;
NEURAL NETWORKS (COMPUTER);
PENTOSYLTRANSFERASES;
PROTEIN STRUCTURE, TERTIARY;
SOFTWARE;
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EID: 0042674397
PISSN: 00222836
EISSN: None
Source Type: Journal
DOI: 10.1016/S0022-2836(03)00515-1 Document Type: Article |
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Times cited : (169)
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References (0)
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