Featured Datasets: 11,000+ new Proximity Label-MS interactions for SARS-CoV-2 from St-Germain JR et al. (2020) and Samavarchi-Tehrani P et al. (2020)

The latest update of BioGRID (build 4.1.190) adds 11,000+ new SARS-CoV-2/Human Proximity Label-MS interactions from our latest two featured datasets "A SARS-CoV-2 BioID-based virus-host membrane protein interactome and virus peptide compendium: new proteomics resources for COVID-19 research" by St-Germain JR et al. (bioRxiv, 2020.08.28.269175) and "A SARS-CoV-2 - host proximity interactome" by Samavarchi-Tehrani P et al. (bioRxiv, 2020.09.03.282103). These two studies used proximity-dependent biotinylation labeling (BioID) coupled with mass spectrometric identification to uncover high confidence interactions between SARS-CoV-2 encoded proteins and human host cell proteins. These two virus-host interaction networks cover more than 1000 and 2000 host proteins, respectively. This work reveals new aspects of virus-host biology and suggests new candidate host targets for inhibition of viral replication. In addition to being available in BioGRID search results, downloads, and our REST service, the data from Samavarchi-Tehrani can also be accessed at

A special thanks to Anne-Claude Gingras, Brian Raught and their colleagues for assistance with loading the data and a big thanks, of course, to all authors of the St-Germain (2020) study: St-Germain JR, Astori A, Samavarchi-Tehrani P, Abdouni H, Macwan V, Kim D, Knapp JJ, Roth FP, Gingras A, and Raught B and all authors of the Samavarchi-Tehrani P (2020) study: Samavarchi-Tehrani P, Abdouni H, Knight JD, Astori A, Samson R, Lin Z, Kim D, Knapp JJ, St-Germain J, Go CD, Larsen B, Wong CJ, Cassonnet P, Demeret C, Jacob Y, Roth FP, Raught B, and Gingras A as well.

If you have interaction data you'd like to deposit directly into the BioGRID Database, please contact us at

October 6th, 2020 - 04:11 PM