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A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing

Overview of attention for article published in bioRxiv
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 195,816)

Mentioned by

82 news outlets
14 blogs
4151 tweeters
7 patents
8 Facebook pages
1 Wikipedia page
2 video uploaders


370 Dimensions

Readers on

1166 Mendeley
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A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
Published in
DOI 10.1101/2020.03.22.002386
Pubmed ID

Gordon, David E., Jang, Gwendolyn M., Bouhaddou, Mehdi, Xu, Jiewei, Obernier, Kirsten, O’Meara, Matthew J., Guo, Jeffrey Z., Swaney, Danielle L., Tummino, Tia A., Hüttenhain, Ruth, Kaake, Robyn M., Richards, Alicia L., Tutuncuoglu, Beril, Foussard, Helene, Batra, Jyoti, Haas, Kelsey, Modak, Maya, Kim, Minkyu, Haas, Paige, Polacco, Benjamin J., Braberg, Hannes, Fabius, Jacqueline M., Eckhardt, Manon, Soucheray, Margaret, Bennett, Melanie J., Cakir, Merve, McGregor, Michael J, Li, Qiongyu, Naing, Zun Zar Chi, Zhou, Yuan, Peng, Shiming, Kirby, Ilsa T., Melnyk, James E., Chorba, John S., Lou, Kevin, Dai, Shizhong A., Shen, Wenqi, Shi, Ying, Zhang, Ziyang, Barrio-Hernandez, Inigo, Memon, Danish, Hernandez-Armenta, Claudia, Mathy, Christopher J.P., Perica, Tina, Pilla, Kala B., Ganesan, Sai J., Saltzberg, Daniel J., Ramachandran, Rakesh, Liu, Xi, Rosenthal, Sara B., Calviello, Lorenzo, Venkataramanan, Srivats, Lin, Yizhu, Wankowicz, Stephanie A., Bohn, Markus, Trenker, Raphael, Young, Janet M., Cavero, Devin, Hiatt, Joe, Roth, Theo, Rathore, Ujjwal, Subramanian, Advait, Noack, Julia, Hubert, Mathieu, Roesch, Ferdinand, Vallet, Thomas, Meyer, Björn, White, Kris M., Miorin, Lisa, Agard, David, Emerman, Michael, Ruggero, Davide, García-Sastre, Adolfo, Jura, Natalia, Zastrow, Mark von, Taunton, Jack, Schwartz, Olivier, Vignuzzi, Marco, d’Enfert, Christophe, Mukherjee, Shaeri, Jacobson, Matt, Malik, Harmit S., Fujimori, Danica G., Ideker, Trey, Craik, Charles S., Floor, Stephen, Fraser, James S., Gross, John, Sali, Andrej, Kortemme, Tanja, Beltrao, Pedro, Shokat, Kevan, Shoichet, Brian K., Krogan, Nevan J.


An outbreak of the novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 290,000 people since the end of 2019, killed over 12,000, and caused worldwide social and economic disruption1,2. There are currently no antiviral drugs with proven efficacy nor are there vaccines for its prevention. Unfortunately, the scientific community has little knowledge of the molecular details of SARS-CoV-2 infection. To illuminate this, we cloned, tagged and expressed 26 of the 29 viral proteins in human cells and identified the human proteins physically associated with each using affinity- purification mass spectrometry (AP-MS), which identified 332 high confidence SARS-CoV-2-human protein-protein interactions (PPIs). Among these, we identify 66 druggable human proteins or host factors targeted by 69 existing FDA-approved drugs, drugs in clinical trials and/or preclinical compounds, that we are currently evaluating for efficacy in live SARS-CoV-2 infection assays. The identification of host dependency factors mediating virus infection may provide key insights into effective molecular targets for developing broadly acting antiviral therapeutics against SARS-CoV-2 and other deadly coronavirus strains.

Twitter Demographics

The data shown below were collected from the profiles of 4,151 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1166 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 244 21%
Student > Ph. D. Student 215 18%
Student > Master 111 10%
Student > Bachelor 103 9%
Student > Doctoral Student 61 5%
Other 218 19%
Unknown 214 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 352 30%
Agricultural and Biological Sciences 134 11%
Medicine and Dentistry 93 8%
Chemistry 82 7%
Immunology and Microbiology 51 4%
Other 185 16%
Unknown 269 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 3074. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2022.
All research outputs
of 23,981,346 outputs
Outputs from bioRxiv
of 195,816 outputs
Altmetric has tracked 23,981,346 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 195,816 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done particularly well, scoring higher than 99% of its peers.