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From protein
interaction networks to
   human phenotypes
            Michael Kuhn
    Peer Bork lab, EMBL Heidelberg
            mkuhn@embl.de
Genomic context methods to predict protein interactions




  Dandekar et al. TIBS 98                                                   Enright et al. Nature 99
  Overbeek et al. PNAS 99            Pellegrini et al. PNAS 99              Marcotte et al. Science 99




Korbel et al., Nat. Biotechn. 04   Morett et al., Nat. Biotechn. 03
                                                     Korbel, von Mering, Jensen, Bork Nat. Biotech. 22(04)911
Towards probabilistic function predictions
                                Von Mering C., Krause R., Snel, B., Oliver, S.G., Fields, S. and Bork, P
                                 100                  Nature 417(2002)399
                                                                                            purified
                                                                                          complexes
                                                            Purified                           TAP
           covered by data ( %; log scale)




                                                           Complexes                      (update entire yeast,
                                                                                          Gavin et al., Nature, 2006)
              fraction of reference set




                                                            HMS-PCI
                                                                                     genomic associations
                                  10                                                   (update to 89 species, 2003)
Coverage




                                                            mRNA                                             two methods
                                                         synexpression
                                                                                                 synthetic
                                                                                                                 combined
                                                                                                 lethality
                                                                                                                 evidence
                                              1                                     yeast
                                                                                  two-hybrid                     three methods
                                                              raw data

                                                              filtered data

                                                              parameter choices


                                             0.1
                                                   0.1                            1               10               100

                                                                                      Accuracy
                                                    fraction of data confirmed by reference set (%; log scale)
COX 1 (a target of aspirin)
Content




• 373 genomes
• 68,000 chemicals
Content




                     • 11,800 human genes
• 373 genomes        • 38,000 chemicals
• 68,000 chemicals   • 2100 drugs
Interaction types:
e.g. binding, inhibition
Phenotypes on a large
       scale?
Image under CC license, Flickr user: mahalie - “baby eats camera”
targets


side effects
targets


side effects
Side-effect similarity
     between drugs
• extract side effects for all drugs
• determine weights for side effects
• compute side-effect similarity for drug pairs
• benchmark: What is the probability that
  two drugs share a target?
• DrugBank, Matador, PDSP K Database
                               i
Benchmark
Donepezil




                                        Venlafaxine
             Pergolide




                          Rabeprazole


                                               Zolmitriptan
Paroxetine




                         Fluoxetine
Rabeprazole
  H
  N       O
      S       N
  N


                  O


                       O




Rabeprazole: proton
   pump inhibitor,
 used against ulcers
Rabeprazole
  H
  N       O
      S       N
  N                                    H
                                   N
                                            NH
                  O           S
                                       H

                       O




Rabeprazole: proton         Pergolide: dopamine
   pump inhibitor,         receptor agonist, used
 used against ulcers        for the treatment of
                             Parkinson’s disease
Rabeprazole
    H
    N       O
        S       N
    N                                   H
                                    N
                                             NH
                    O          S
                                        H

                        O




  Rabeprazole: proton        Pergolide: dopamine
     pump inhibitor,        receptor agonist, used
   used against ulcers       for the treatment of
binds dopamine receptor!      Parkinson’s disease
Rabeprazole
       H
       N       O
           S       N
       N                                    H
                                        N
                                                 NH
                       O           S
                                            H

                           O




     Rabeprazole: proton         Pergolide: dopamine
        pump inhibitor,         receptor agonist, used
      used against ulcers        for the treatment of
inhibits dopamine receptor!?!     Parkinson’s disease
12 of 20 drug pairs
                                             100   1                           100   2                           100   3                           100   4                            100   5                            100   6
                                                                                                                                                                                                                               6
Inhibition of control specific binding (%)




                                             50                                50                                50                                50                                 50                                 50




                                             0                                 0                                 0                                 0                                  0                                  0



                                                       8   7   6   5   4   3             8   7   6   5   4   3             8   7   6   5   4   3              8   7   6   5   4   3              8   7   6   5   4   3              8   7   6   5   4   3



                                             100   7                           100   8                           100   9                           100   10                           100   11                           100   12



                                             50                                50                                50                                50                                 50                                 50




                                              0                                0                                 0                                 0                                  0                                  0



                                                       8   7   6   5   4   3             8   7   6   5   4   3             8   7   6   5   4   3              8   7   6   5   4   3              8   7   6   5   4   3              8   7   6   5   4   3


                                                                                                                                           -log[drug](M)



                                                                                     9 Ki ≤ 10 μM, 3 Ki > 10 μM
Conclusion

• information about drugs makes human
  phenotypes accessible
• can infer protein targets from side effects
• next steps: increase resolution, consider
  network aspects
Acknowledgements

• Peer Bork
• STRING/STITCH: Lars Juhl Jensen,
  Christian von Mering and lab
• Side Effect Similarity: Monica Campillos,
  Lars Juhl Jensen, Anne-Claude Gavin
Thank you for your
      attention!

• STRING: http://string.embl.de/
• STITCH: http://stitch.embl.de/
• Matador: http://matador.embl.de/
First-level ATC classification
   A Alimentary Tract And Metabolism
   B Blood And Blood Forming Organs
   C Cardiovascular System
   D Dermatologicals
   G Genito Urinary System And Sex Hormones
   H Systemic Hormonal Preparations...
   J Antiinfectives For Systemic Use
   L Antineoplastic And Immunomodulating Agents
   M Musculo-Skeletal System
   N Nervous System
   P Antiparasitic Products....
   R Respiratory System
   S Sensory Organs
   V Various

Colouring of edges (drug pairs)
    known to share targets
    with similar structures or targets
    without known human targets
    from the same therapeutic category
    from different therapeutic categories
    (unexpected predictions)
Donepezil



                                                              ACHE
                                                              BCHE

                                             Venlafaxine
             Pergolide


                                      DRD3

 SLC6A4                                              ATP4B

                          Rabeprazole

                                                                           Drug-Target relationships
                                                    Zolmitriptan
Paroxetine                                                                          known main target
                                                                                    other known targets
                                                                                    binding
          HTR1D
                                                                                    no binding
                         Fluoxetine

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From protein interaction networks to human phenotypes

  • 1. From protein interaction networks to human phenotypes Michael Kuhn Peer Bork lab, EMBL Heidelberg mkuhn@embl.de
  • 2. Genomic context methods to predict protein interactions Dandekar et al. TIBS 98 Enright et al. Nature 99 Overbeek et al. PNAS 99 Pellegrini et al. PNAS 99 Marcotte et al. Science 99 Korbel et al., Nat. Biotechn. 04 Morett et al., Nat. Biotechn. 03 Korbel, von Mering, Jensen, Bork Nat. Biotech. 22(04)911
  • 3. Towards probabilistic function predictions Von Mering C., Krause R., Snel, B., Oliver, S.G., Fields, S. and Bork, P 100 Nature 417(2002)399 purified complexes Purified TAP covered by data ( %; log scale) Complexes (update entire yeast, Gavin et al., Nature, 2006) fraction of reference set HMS-PCI genomic associations 10 (update to 89 species, 2003) Coverage mRNA two methods synexpression synthetic combined lethality evidence 1 yeast two-hybrid three methods raw data filtered data parameter choices 0.1 0.1 1 10 100 Accuracy fraction of data confirmed by reference set (%; log scale)
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  • 5. COX 1 (a target of aspirin)
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  • 7. Content • 373 genomes • 68,000 chemicals
  • 8. Content • 11,800 human genes • 373 genomes • 38,000 chemicals • 68,000 chemicals • 2100 drugs
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  • 12. Phenotypes on a large scale?
  • 13. Image under CC license, Flickr user: mahalie - “baby eats camera”
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  • 17. Side-effect similarity between drugs • extract side effects for all drugs • determine weights for side effects • compute side-effect similarity for drug pairs • benchmark: What is the probability that two drugs share a target? • DrugBank, Matador, PDSP K Database i
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  • 20. Donepezil Venlafaxine Pergolide Rabeprazole Zolmitriptan Paroxetine Fluoxetine
  • 21. Rabeprazole H N O S N N O O Rabeprazole: proton pump inhibitor, used against ulcers
  • 22. Rabeprazole H N O S N N H N NH O S H O Rabeprazole: proton Pergolide: dopamine pump inhibitor, receptor agonist, used used against ulcers for the treatment of Parkinson’s disease
  • 23. Rabeprazole H N O S N N H N NH O S H O Rabeprazole: proton Pergolide: dopamine pump inhibitor, receptor agonist, used used against ulcers for the treatment of binds dopamine receptor! Parkinson’s disease
  • 24. Rabeprazole H N O S N N H N NH O S H O Rabeprazole: proton Pergolide: dopamine pump inhibitor, receptor agonist, used used against ulcers for the treatment of inhibits dopamine receptor!?! Parkinson’s disease
  • 25. 12 of 20 drug pairs 100 1 100 2 100 3 100 4 100 5 100 6 6 Inhibition of control specific binding (%) 50 50 50 50 50 50 0 0 0 0 0 0 8 7 6 5 4 3 8 7 6 5 4 3 8 7 6 5 4 3 8 7 6 5 4 3 8 7 6 5 4 3 8 7 6 5 4 3 100 7 100 8 100 9 100 10 100 11 100 12 50 50 50 50 50 50 0 0 0 0 0 0 8 7 6 5 4 3 8 7 6 5 4 3 8 7 6 5 4 3 8 7 6 5 4 3 8 7 6 5 4 3 8 7 6 5 4 3 -log[drug](M) 9 Ki ≤ 10 μM, 3 Ki > 10 μM
  • 26. Conclusion • information about drugs makes human phenotypes accessible • can infer protein targets from side effects • next steps: increase resolution, consider network aspects
  • 27. Acknowledgements • Peer Bork • STRING/STITCH: Lars Juhl Jensen, Christian von Mering and lab • Side Effect Similarity: Monica Campillos, Lars Juhl Jensen, Anne-Claude Gavin
  • 28. Thank you for your attention! • STRING: http://string.embl.de/ • STITCH: http://stitch.embl.de/ • Matador: http://matador.embl.de/
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  • 30. First-level ATC classification A Alimentary Tract And Metabolism B Blood And Blood Forming Organs C Cardiovascular System D Dermatologicals G Genito Urinary System And Sex Hormones H Systemic Hormonal Preparations... J Antiinfectives For Systemic Use L Antineoplastic And Immunomodulating Agents M Musculo-Skeletal System N Nervous System P Antiparasitic Products.... R Respiratory System S Sensory Organs V Various Colouring of edges (drug pairs) known to share targets with similar structures or targets without known human targets from the same therapeutic category from different therapeutic categories (unexpected predictions)
  • 31. Donepezil ACHE BCHE Venlafaxine Pergolide DRD3 SLC6A4 ATP4B Rabeprazole Drug-Target relationships Zolmitriptan Paroxetine known main target other known targets binding HTR1D no binding Fluoxetine