Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Using side effects for drug target identification

577 views

Published on

Published in: Health & Medicine, Technology
  • Be the first to comment

  • Be the first to like this

Using side effects for drug target identification

  1. 1. Using side effects fordrug target identification Lars Juhl Jensen
  2. 2. the problem
  3. 3. new uses for old drugs
  4. 4. drug–drug network
  5. 5. shared target(s)
  6. 6. chemical similarity
  7. 7. Campillos & Kuhn et al., Science, 2008
  8. 8. Campillos & Kuhn et al., Science, 2008
  9. 9. similar drugs share targets
  10. 10. only trivial predictions
  11. 11. the idea
  12. 12. chemical perturbations
  13. 13. phenotypic readouts
  14. 14. drug treatment
  15. 15. side effects
  16. 16. the hard work
  17. 17. information on side effects
  18. 18. no database
  19. 19. package inserts
  20. 20. Campillos & Kuhn et al., Science, 2008
  21. 21. text mining
  22. 22. side-effect ontology
  23. 23. backtracking
  24. 24. Campillos & Kuhn et al., Science, 2008
  25. 25. manual validation
  26. 26. SIDER Kuhn et al., Molecular Systems Biology, 2010
  27. 27. side-effect correlations
  28. 28. Campillos & Kuhn et al., Science, 2008
  29. 29. GSC weighting
  30. 30. side-effect frequencies
  31. 31. Campillos & Kuhn et al., Science, 2008
  32. 32. raw similarity score
  33. 33. Campillos & Kuhn et al., Science, 2008
  34. 34. p-values
  35. 35. Campillos & Kuhn et al., Science, 2008
  36. 36. side-effect similarity
  37. 37. chemical similarity
  38. 38. Campillos & Kuhn et al., Science, 2008
  39. 39. confidence scores
  40. 40. reference set
  41. 41. incomplete databases
  42. 42. text mining
  43. 43. manual validation
  44. 44. MATADOR Günther et al., Nucleic Acids Research, 2008
  45. 45. Campillos & Kuhn et al., Science, 2008
  46. 46. the results
  47. 47. drug–drug network
  48. 48. Campillos & Kuhn et al., Science, 2008
  49. 49. categorization
  50. 50. Campillos & Kuhn et al., Science, 2008
  51. 51. 20 drug–drug pairs
  52. 52. in vitro binding assays
  53. 53. Ki<10 µM for 11 of 20
  54. 54. cell assays
  55. 55. 9 of 9 showed activity
  56. 56. Acknowledgments Monica Campillos Michael Kuhn Anne-Claude Gavin Peer Bork
  57. 57. larsjuhljensen

×