Book chapter: "WikiPathways: Integrating Pathway Knowledge with Clinical Data"

Figure 73.5: Known drug-target interactions
(from DrugBank) for the purine
metabolism pathway.

Serendipity is walking around in the library and picking up a book. The book I picked up was 5 cm thick and about metabolic diseases: Physician's Guide to the Diagnosis, Treatment, and Follow-Up of Inherited Metabolic Diseases. Written by many researchers in the field, it had collected the associations of many metabolic pathways and inherited diseases.

When Denise joined our group as PhD candidate on the topic of small molecules in biological pathways and metabolomics data, I dropped the book on her desk. Since then she has worked on the majority of chapters in the book and create FAIR (doi:10.1162/dint_r_00024) biological pathways. In doing so, she has worked with authors of the chapters and created a dedicated portal on the WikiPathways (doi:10.1093/nar/gkx1064) website.

And I am very excited we have been able to contribute a chapter to the latest edition of the book outlining how these FAIR pathways can support biological and clinical research. Denise worked with Martina on various examples how these pathway models help analyze clinical data. We made the WikiPathways: Integrating Pathway Knowledge with Clinical Data chapter (doi:10.1007/978-3-030-67727-5_73) CC-BY, so please feel encouraged to share it widely.

There is so much I love about this chapter. Like the use of SPARQL. Like all the disease knowledge now being FAIR (I hope DisGeNET can find some reuse of it). Denise, huge thanks for taking this awesome work forward!