The Reactome Pathway Knowledgebase 2024

M Orlic-Milacic(Ontario Institute for Cancer Research), Deidre Beavers(Oregon Health & Science University), Patrick Conley(Oregon Health & Science University), Chuqiao Gong(European Bioinformatics Institute), Marc Gillespie(Ontario Institute for Cancer Research), Johannes Griss(European Bioinformatics Institute), Robin Haw(Ontario Institute for Cancer Research), Bijay Jassal(Ontario Institute for Cancer Research), Lisa Matthews(New York University), Bruce May(Ontario Institute for Cancer Research), Robert Petryszak(Oregon Health & Science University), Eliot Ragueneau(European Bioinformatics Institute), Karen Rothfels(Ontario Institute for Cancer Research), Cristoffer Sevilla(European Bioinformatics Institute), Veronica Shamovsky(New York University), Ralf Stephan(Ontario Institute for Cancer Research), Krishna Kumar Tiwari(European Bioinformatics Institute), Thawfeek Varusai(European Bioinformatics Institute), Joel Weiser(Ontario Institute for Cancer Research), A. Jordan Wright(Ontario Institute for Cancer Research), Guanming Wu(Oregon Health & Science University), Lincoln Stein(Ontario Institute for Cancer Research), Henning Hermjakob(European Bioinformatics Institute), Peter D’Eustachio(New York University)
Nucleic Acids Research
November 6, 2023
Cited by 1,279Open Access
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Abstract

The Reactome Knowledgebase (https://reactome.org), an Elixir and GCBR core biological data resource, provides manually curated molecular details of a broad range of normal and disease-related biological processes. Processes are annotated as an ordered network of molecular transformations in a single consistent data model. Reactome thus functions both as a digital archive of manually curated human biological processes and as a tool for discovering functional relationships in data such as gene expression profiles or somatic mutation catalogs from tumor cells. Here we review progress towards annotation of the entire human proteome, targeted annotation of disease-causing genetic variants of proteins and of small-molecule drugs in a pathway context, and towards supporting explicit annotation of cell- and tissue-specific pathways. Finally, we briefly discuss issues involved in making Reactome more fully interoperable with other related resources such as the Gene Ontology and maintaining the resulting community resource network.


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