title: Medical target prediction from genome sequence: combining different sequence analysis algorithms with expert knowledge and input from artificial intelligence approaches.
abstract: 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.
authors.affiliation: European Molecular Biology Laboratory, PO Box 102209, Meyerhostrasse 1, D-69012 Heidelberg, Germany. dandekar@embl-heidelberg.de
authors.forename: T
authors.initials: T
authors.lastname: Dandekar
authors.forename: F
authors.initials: F
authors.lastname: Du
authors.forename: R H
authors.initials: RH
authors.lastname: Schirmer
authors.forename: S
authors.initials: S
authors.lastname: Schmidt
mesh_terms: 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
chemical_list: D001426:Bacterial Proteins