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Predicting novel targets for existing drugs using side effect information
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Systems Biology Workshop, Technical University of Denmark, Lyngy, Denmark, May 14-15, 2009
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Predicting novel targets for existing drugs using side effect information
1.
Predicting novel targets
for existing drugs using side effect information Lars Juhl Jensen
2.
the problem
3.
new uses for
old drugs
4.
drug–drug network
5.
shared target(s)
6.
chemical similarity
7.
Campillos & Kuhn
et al., Science , 2008
8.
Campillos & Kuhn
et al., Science , 2008
9.
similar drugs share
targets
10.
only trivial predictions
11.
the idea
12.
chemical perturbations
13.
phenotypic readouts
14.
drug treatment
15.
side effects
16.
the implementation
17.
information on side
effects
18.
package inserts
19.
Campillos & Kuhn
et al., Science , 2008
20.
text mining
21.
side-effect ontology
22.
backtracking
23.
Campillos & Kuhn
et al., Science , 2008
24.
side-effect correlations
25.
Campillos & Kuhn
et al., Science , 2008
26.
GSC weighting
27.
side-effect frequencies
28.
Campillos & Kuhn
et al., Science , 2008
29.
raw similarity score
30.
Campillos & Kuhn
et al., Science , 2008
31.
p-values
32.
Campillos & Kuhn
et al., Science , 2008
33.
side-effect similarity
34.
chemical similarity
35.
Campillos & Kuhn
et al., Science , 2008
36.
reference set
37.
drug–target pairs
38.
Campillos & Kuhn
et al., Science , 2008
39.
drug–drug pairs
40.
score bins
41.
benchmark
42.
Campillos & Kuhn
et al., Science , 2008
43.
fit calibration function
44.
Campillos & Kuhn
et al., Science , 2008
45.
probabilistic scores
46.
the results
47.
drug–drug network
48.
ATC codes
49.
Campillos & Kuhn
et al., Science , 2008
50.
categorization
51.
Campillos & Kuhn
et al., Science , 2008
52.
Campillos & Kuhn
et al., Science , 2008
53.
Campillos & Kuhn
et al., Science , 2008
54.
map onto score
space
55.
Campillos & Kuhn
et al., Science , 2008
56.
the experiments
57.
20 drug–drug relations
58.
in vitro
binding assays
59.
Campillos & Kuhn
et al., Science , 2008
60.
Campillos & Kuhn
et al., Science , 2008
61.
Campillos & Kuhn
et al., Science , 2008
62.
K i <10
µM for 11 of 20
63.
cell assays
64.
Campillos & Kuhn
et al., Science , 2008
65.
9 of 9
showed activity
66.
the future
67.
target side-effect profiles
68.
drug–target network
69.
integration with STITCH
70.
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