1 / 62

Using side effects for drug target identification

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.

bernie
Download Presentation

Using side effects for drug target identification

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Using side effects fordrug target identification 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 hard work

  17. information on side effects

  18. no database

  19. package inserts

  20. Campillos & Kuhn et al., Science, 2008

  21. text mining

  22. side-effect ontology

  23. backtracking

  24. Campillos & Kuhn et al., Science, 2008

  25. manual validation

  26. SIDER Kuhn et al., Molecular Systems Biology, 2010

  27. side-effect correlations

  28. Campillos & Kuhn et al., Science, 2008

  29. GSC weighting

  30. side-effect frequencies

  31. Campillos & Kuhn et al., Science, 2008

  32. raw similarity score

  33. Campillos & Kuhn et al., Science, 2008

  34. p-values

  35. Campillos & Kuhn et al., Science, 2008

  36. side-effect similarity

  37. chemical similarity

  38. Campillos & Kuhn et al., Science, 2008

  39. confidence scores

  40. reference set

  41. incomplete databases

  42. text mining

  43. manual validation

  44. MATADOR Günther et al., Nucleic Acids Research, 2008

  45. Campillos & Kuhn et al., Science, 2008

  46. the results

  47. drug–drug network

  48. Campillos & Kuhn et al., Science, 2008

  49. categorization

  50. Campillos & Kuhn et al., Science, 2008

More Related