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Volumn 26, Issue 1, 2001, Pages 15-21
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Medical target prediction from genome sequence: Combining different sequence analysis algorithms with expert knowledge and input from artificial intelligence approaches
a,b,c a,b b a,b |
Author keywords
Drug design; Genome analysis; Mycobacterium tuberculosis; Sequence comparison; Structure prediction
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Indexed keywords
DATA MINING;
DRUG PRODUCTS;
EXPERT SYSTEMS;
GENETIC ALGORITHMS;
KNOWLEDGE ENGINEERING;
PROTEINS;
STRUCTURE (COMPOSITION);
MEDICAL TARGET PREDICTION;
GENES;
BACTERIAL PROTEIN;
ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
CHEMICAL STRUCTURE;
CHEMISTRY;
EXPERT SYSTEM;
GENETICS;
GENOMICS;
INSTRUMENTATION;
MYCOBACTERIUM;
PREDICTION AND FORECASTING;
PROTEIN SECONDARY STRUCTURE;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
BACTERIAL PROTEINS;
EXPERT SYSTEMS;
GENOMICS;
MODELS, MOLECULAR;
MYCOBACTERIUM;
PREDICTIVE VALUE OF TESTS;
PROTEIN STRUCTURE, SECONDARY;
SUPPORT, NON-U.S. GOV'T;
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EID: 0034740224
PISSN: 00978485
EISSN: None
Source Type: Journal
DOI: 10.1016/S0097-8485(01)00095-X Document Type: Article |
Times cited : (3)
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References (38)
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