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Functional classification of drugs by properties of their pairwise interactions

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Iryna Nikolayeva

David Fuente Herraiz Cyprien Verseux

mSSB, December 2012

Functional classification of drugs by properties of their pairwise interactions

Pamela Yeh, Ariane I. Tschumi and Roy Kishony, Nature Genetics, 2006

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Interaction-based classification

Drug Y No drug

Drug X

Drugs X and Y

Antagonistic

Additive Synergistic Additive

B = 2 A = 2

A + B = ?

4 3 5

0

Antagonistic Synergistic

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+ constitutive promoter

Bjarnason, J., Southward, C. M. & Surette, M. G. Genomic Profiling of Iron-Responsive Genes in Salmonella enterica Serovar Typhimurium by High-Throughput Screening of a Random Promoter Library. Journal of Bacteriology 185, 4973–

4982 (2003).

Kishony, R. & Leibler, S. Environmental stresses can alleviate the average deleterious effect of mutations. Journal of Biology 2, 1–

10 (2003).

Pairwise interaction experiments

Drug Y Drug X

3

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Network creation

Ungrouped Clustered

Main clustering rules

1. Mixed intraclass interactions

2. Non conflictive interclass interactions

• Clustering

• Adding a new drug

4

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Prism Algorithm

Video

http://www.nature.com/ng/journal/v37/n1/extref/ng1489-S11.avi

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Prism Algorithm

Prism II:

- Monochromaticity is not strictly enforced

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Methods

• Bioluminescence technique

• Dosage fine-tuning

• Well replicates

- 100 no drugs - 16 single drugs

- at least 2 for each double-drug combination

• Normalized Growth rate: WiC = giC / gΦ (Exp. growth)

- 10%, 90% percentiles as WminC and WmaxC, with n > 10 - Direct values for WminC and WmaxC, with n < 10

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Interaction classification

A. suppression

A. buffering

Additive Synergistic

~e max< -0.5 Synergistic

~e min> 0.5 Antagonistic

Interaction classification rule

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Results

 Drugs clustered in classes that interact monochromatically.

 Classification correponds almost perfectly to the function they target.

 Higher level classifications are also enabled.

Results depend on

concentrations of drugs and chosen ε values

Inhibition of protein synthesis via 50S ribosomal subunit

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Nitrofurantoin

Bleomycin

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• Classification of drugs:

From drug-drug level to functional classes’ level

• Detect multi-functionnal drugs?

• Identify drugs with novel mechanisms of action

• Suggest drug combinations

• Study gene-environment interactions

Putative uses

Multi-target therapeutics: When the whole is greater than the sum of the Parts, Zimmerman & al, 2007, Drug Discovery Today

Nitrofurantoin

Amoxicillin

Clavulanate Bleomycin

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Conclusion

• Result of the systematic analysis:

• A tool to help identify new drugs? New drug combinations?

• One day: adaptation of this systematic method for in-vivo studies?

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