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Volumn , Issue , 1998, Pages 157-164
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Identification of Divergent Functions in Homologous Proteins by Induction over Conserved Modules
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Author keywords
Enzyme Commission; machine learning; protein function; protein modules; protein sequence; representation
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Indexed keywords
ARTIFICIAL INTELLIGENCE;
LEARNING SYSTEMS;
DIVERGENTS;
ENZYME COMMISSIONS;
HOMOLOGOUS PROTEINS;
MACHINE-LEARNING;
PROTEIN FUNCTIONS;
PROTEIN MODULE;
PROTEIN SEQUENCES;
REPRESENTATION;
SEQUENCE SIMILARITY;
ENZYMES;
ALCOHOL DEHYDROGENASE;
DIHYDROFOLATE REDUCTASE;
LACTATE DEHYDROGENASE;
PROTEIN;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
BAYES THEOREM;
CHEMISTRY;
COMPARATIVE STUDY;
FACTUAL DATABASE;
GENETICS;
MOLECULAR EVOLUTION;
NUCLEOTIDE SEQUENCE;
PHYSIOLOGY;
SEQUENCE HOMOLOGY;
ALCOHOL DEHYDROGENASE;
ARTIFICIAL INTELLIGENCE;
BAYES THEOREM;
CONSERVED SEQUENCE;
DATABASES, FACTUAL;
EVOLUTION, MOLECULAR;
L-LACTATE DEHYDROGENASE;
PROTEINS;
SEQUENCE HOMOLOGY, AMINO ACID;
TETRAHYDROFOLATE DEHYDROGENASE;
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EID: 0031610405
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (4)
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References (7)
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