The BioGRID interaction database: 2017 update

Andrew Chatr‐aryamontri, Rose Oughtred, Lorrie Boucher, Jennifer Rust, Christie Chang, Nadine K. Kolas, Lara O’Donnell, Sara Oster, Chandra L. Theesfeld, Adnane Sellam,

Nucleic Acids Research · 2016 · 1K citations · 78 references

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TL;DR

BioGRID is an open‑access database that curates protein, genetic, and chemical interaction data for major model organisms and humans, emphasizing central biological processes and disease relevance. The authors aim to support network‑based drug discovery by adding 27,501 chemical‑protein interactions for human drug targets sourced from DrugBank. BioGRID now offers a dynamic interaction network viewer, unrestricted downloadable data in standardized formats, and integration with partner databases to facilitate easy navigation and filtering of genetic, protein, and chemical interaction information. As of September 2016, BioGRID contains 1,072,173 genetic and protein interactions and 38,559 post‑translational modifications from 48,114 publications, covering 66 model organisms and representing a 30 % increase over the 2015 update.

Abstract

The Biological General Repository for Interaction Datasets (BioGRID: https://thebiogrid.org) is an open access database dedicated to the annotation and archival of protein, genetic and chemical interactions for all major model organism species and humans. As of September 2016 (build 3.4.140), the BioGRID contains 1 072 173 genetic and protein interactions, and 38 559 post-translational modifications, as manually annotated from 48 114 publications. This dataset represents interaction records for 66 model organisms and represents a 30% increase compared to the previous 2015 BioGRID update. BioGRID curates the biomedical literature for major model organism species, including humans, with a recent emphasis on central biological processes and specific human diseases. To facilitate network-based approaches to drug discovery, BioGRID now incorporates 27 501 chemical-protein interactions for human drug targets, as drawn from the DrugBank database. A new dynamic interaction network viewer allows the easy navigation and filtering of all genetic and protein interaction data, as well as for bioactive compounds and their established targets. BioGRID data are directly downloadable without restriction in a variety of standardized formats and are freely distributed through partner model organism databases and meta-databases.

References

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