Joseph D. Mougous, Ph.D.

Affiliations: 
2004 University of California, Berkeley, Berkeley, CA, United States 
 2014 Harvard University, Cambridge, MA, United States 
 2015- University of Washington, Seattle, Seattle, WA 
Area:
Bioorthogonal chemistry
Website:
https://microbiology.washington.edu/users/joseph-d-mougous
Google:
"Joseph Mougous"
Mean distance: 8.32
 
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Publications

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Brinkley DM, Bertolli SK, Gallagher LA, et al. (2025) Pseudomonads coordinate innate defense against viruses and bacteria with a single regulatory system. Biorxiv : the Preprint Server For Biology
Srinivas P, Peterson SB, Gallagher LA, et al. (2024) Beyond genomics in Patescibacteria: A trove of unexplored biology packed into ultrasmall bacteria. Proceedings of the National Academy of Sciences of the United States of America. 121: e2419369121
Rettie SA, Juergens D, Adebomi V, et al. (2024) Accurate design of high-affinity protein binding macrocycles using deep learning. Biorxiv : the Preprint Server For Biology
Humphreys IR, Zhang J, Baek M, et al. (2024) Protein interactions in human pathogens revealed through deep learning. Nature Microbiology
Humphreys IR, Zhang J, Baek M, et al. (2024) Essential and virulence-related protein interactions of pathogens revealed through deep learning. Biorxiv : the Preprint Server For Biology
Zhao Q, Bertolli S, Park YJ, et al. (2024) Streptomyces umbrella toxin particles block hyphal growth of competing species. Nature
Wang Y, Gallagher LA, Andrade PA, et al. (2023) Genetic manipulation of Patescibacteria provides mechanistic insights into microbial dark matter and the epibiotic lifestyle. Cell
Wang Y, Ledvina HE, Tower CA, et al. (2023) Discovery of a glutathione utilization pathway in Francisella that shows functional divergence between environmental and pathogenic species. Cell Host & Microbe
Wang Y, Gallagher LA, Andrade PA, et al. (2023) Genetic manipulation of candidate phyla radiation bacteria provides functional insights into microbial dark matter. Biorxiv : the Preprint Server For Biology
Cutler KJ, Stringer C, Lo TW, et al. (2022) Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation. Nature Methods. 19: 1438-1448
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