Species | Potential target | Raw | Global | Species |
---|---|---|---|---|
Trichomonas vaginalis | aldehyde oxidase, putative | 0.0937 | 1 | 0.5 |
Mycobacterium ulcerans | carbon monoxyde dehydrogenase small chain CoxS | 0.0179 | 0.0382 | 0.0349 |
Mycobacterium ulcerans | carbon monoxyde dehydrogenase large chain CoxL | 0.0442 | 0.3717 | 0.3799 |
Trichomonas vaginalis | xanthine dehydrogenase, putative | 0.0937 | 1 | 0.5 |
Mycobacterium ulcerans | aerobic-type carbon monoxide dehydrogenase subunit CoxM_2 | 0.0316 | 0.2126 | 0.2153 |
Mycobacterium ulcerans | flavin-containing monoamine oxidase AofH | 0.0914 | 0.9711 | 1 |
Mycobacterium ulcerans | carbon monoxide dehydrogenase | 0.062 | 0.5987 | 0.6147 |
Mycobacterium ulcerans | flavin-containing monoamine oxidase AofH | 0.0914 | 0.9711 | 1 |
Mycobacterium ulcerans | carbon monoxyde dehydrogenase large chain CoxL | 0.0278 | 0.1636 | 0.1646 |
Mycobacterium ulcerans | aerobic-type carbon monoxide dehydrogenase subunit CoxL_2 | 0.0442 | 0.3717 | 0.3799 |
Mycobacterium tuberculosis | Probable carbon monoxyde dehydrogenase (large chain) | 0.0442 | 0.3717 | 0.3918 |
Mycobacterium ulcerans | carbon monoxyde dehydrogenase medium chain CoxM | 0.0316 | 0.2126 | 0.2153 |
Mycobacterium tuberculosis | Probable carbon monoxyde dehydrogenase (medium chain) | 0.0316 | 0.2126 | 0.2049 |
Mycobacterium tuberculosis | Probable flavin-containing monoamine oxidase AofH (amine oxidase) (MAO) | 0.085 | 0.8894 | 1 |
Treponema pallidum | hypothetical protein | 0.0152 | 0.0045 | 1 |
Mycobacterium ulcerans | carbon monoxyde dehydrogenase small chain CoxS | 0.0179 | 0.0382 | 0.0349 |
Many chemical entities in TDR Targets come from high-throughput screenings with whole cells or tissue samples, and not all assayed compounds have been tested against a single a single target protein, probably because they get ruled out during screening process. Even if these compounds may have not been of interest in the original screening, they may come as interesting leads for other screening assays. Furthermore, we may be able to propose drug-target associations using chemical similarities and network patterns.