Mining molecules from text and data

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Lars Juhl Jensen

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Mining molecules from text and data Lars Juhl Jensen

Reflect

augmented browsing

Pafilis, O’Donoghue, Jensen et al., Nature Biotechnology , 2009 O’Donoghue et al., Journal of Web Semantics , 2010

web services

STITCH

Kuhn et al., Nucleic Acids Research , 2010

>74,000 small molecules

>2.5 million proteins

630 genomes

Gleevec

evidence types

primary experimental data

physical interactions

curated knowledge

drug targets

pathways

>10 km

literature mining

co-mentioning

NLP Natural Language Processing

integration

incomparable data

quality scores

calibrate vs. gold standard

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The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Mining molecules from text and data

1. Mining molecules from text and data Lars Juhl Jensen

3. augmented browsing

4. Pafilis, O’Donoghue, Jensen et al., Nature Biotechnology , 2009 O’Donoghue et al., Journal of Web Semantics , 2010

5. web services

6.

8. Kuhn et al., Nucleic Acids Research , 2010

9. >74,000 small molecules

10. >2.5 million proteins

11. 630 genomes

13.

14. evidence types

15. primary experimental data

16. physical interactions

17.

18. curated knowledge

19. drug targets

22. literature mining

23. co-mentioning

24.

25. NLP Natural Language Processing

26.

27. integration

28. incomparable data

29. quality scores

30. calibrate vs. gold standard

31.

32. larsjuhljensen

Hinweis der Redaktion

This is a conservative estimate based only on what is in PubMed Too much to read! Text mining used to extract relations Similar methods used to mine medical records and link diseases