{"url":"/dataset/biogrid","name":"BioGRID","full_name":"Biological General Repository for Interaction Datasets","description_markdown":"**BioGRID** is a biomedical interaction repository with data compiled through comprehensive curation efforts. The current index is version 4.2.192 and searches 75,868 publications for 1,997,840 protein and genetic interactions, 29,093 chemical interactions and 959,750 post translational modifications from major model organism species.\r\n\r\nSource: [https://thebiogrid.org/](https://thebiogrid.org/)","description_withheld":null,"homepage":"https://thebiogrid.org/","introduced_date":"2006-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"BioGRID: a general repository for interaction datasets","first_author":null,"url":"https://doi.org/10.1093/nar/gkj109"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"},{"name":"Biomedical","url":"/datasets/modality/biomedical"}],"tasks":[{"name":"Node Classification","url":"/task/node-classification","datasets_with_task":"/datasets/task/node-classification"},{"name":"Link Prediction","url":"/task/link-prediction","datasets_with_task":"/datasets/task/link-prediction"},{"name":"Graph Embedding","url":"/task/graph-embedding","datasets_with_task":"/datasets/task/graph-embedding"},{"name":"Gene Interaction Prediction","url":"/task/gene-interaction-prediction","datasets_with_task":"/datasets/task/gene-interaction-prediction"}],"languages":[],"variants":["BioGRID","BioGRID(yeast)","BioGRID (human)"],"data_loaders":[],"num_papers_in_archive":34,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/gene-interaction-prediction-on-biogrid-human","task":"Gene Interaction Prediction","dataset_variant":"BioGRID (human)","rows":1,"metrics":["Average Precision"],"first_row_in_archive_order":{"model":"GNE","paper":"/paper/gne-a-deep-learning-framework-for-gene","metrics":{"Average Precision":"0.939"},"code_links":[{"title":"kckishan/GNE","url":"https://github.com/kckishan/GNE"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/gene-interaction-prediction-on-biogridyeast","task":"Gene Interaction Prediction","dataset_variant":"BioGRID(yeast)","rows":1,"metrics":["Average Precision"],"first_row_in_archive_order":{"model":"GNE","paper":"/paper/gne-a-deep-learning-framework-for-gene","metrics":{"Average Precision":"0.821"},"code_links":[{"title":"kckishan/GNE","url":"https://github.com/kckishan/GNE"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/gne-a-deep-learning-framework-for-gene","title":"GNE: a deep learning framework for gene network inference by aggregating biological information","date":"2019-04-05","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}