Medical target prediction from genome sequence: combining different sequence analysis algorithms with expert knowledge and input from artificial intelligence approaches.
By exploiting the rapid increase in available sequence data, the definition of medically relevant protein targets has been improved by a combination of: (i) differential genome analysis (target list): and (ii) analysis of individual proteins (target analysis). Fast sequence comparisons, data mining, and genetic algorithms further promote these procedures. Mycobacterium tuberculosis proteins were chosen as applied examples.
Dandekar
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European Molecular Biology Laboratory, PO Box 102209, Meyerhostrasse 1, D-69012 Heidelberg, Germany. dandekar@embl-heidelberg.de
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Schirmer
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Schmidt
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D000465:Algorithms; D001185:Artificial Intelligence; D001426:Bacterial Proteins / Q000737:chemistry; D005103:Expert Systems; D023281:Genomics / Q000295:instrumentation*; D008958:Models, Molecular; D009161:Mycobacterium / Q000737:chemistry / Q000235:genetics*; D011237:Predictive Value of Tests; D017433:Protein Structure, Secondary
D001426:Bacterial Proteins