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Using side effects for drug target identification

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Lars Juhl Jensen
Lars Juhl Jensen
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Using side effects for drug target identification Lars Juhl Jensen
the problem
new uses for old drugs
drug–drug network
shared target(s)
chemical similarity
Campillos & Kuhn et al., Science , 2008
Campillos & Kuhn et al., Science , 2008
similar drugs share targets
only trivial predictions
the idea
chemical perturbations
phenotypic readouts
drug treatment
side effects
the hard work
information on side effects
no database
package inserts
Campillos & Kuhn et al., Science , 2008
text mining
side-effect ontology
backtracking
Campillos & Kuhn et al., Science , 2008
manual validation
SIDER Kuhn et al., Molecular Systems Biology , 2010
side-effect correlations
Campillos & Kuhn et al., Science , 2008
GSC weighting
side-effect frequencies
Campillos & Kuhn et al., Science , 2008
raw similarity score
Campillos & Kuhn et al., Science , 2008
p-values
Campillos & Kuhn et al., Science , 2008
side-effect similarity
chemical similarity
Campillos & Kuhn et al., Science , 2008
confidence scores
reference set
incomplete databases
text mining
manual validation
MATADOR Günther et al., Nucleic Acids Research , 2008
Campillos & Kuhn et al., Science , 2008
the results
drug–drug network
Campillos & Kuhn et al., Science , 2008
categorization
Campillos & Kuhn et al., Science , 2008
20 drug–drug pairs
in vitro binding assays
K i <10 µM for 11 of 20
cell assays
9 of 9 showed activity
the future
link side-effects to targets
direct target prediction
Acknowledgments ,[object Object],[object Object],[object Object],[object Object]
larsjuhljensen

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