Targeting bacterial membrane function: an underexploited mechanism for treating persistent infections
By J. Hurdle, A. O’Neill, I. Chopra, Richard E. Lee. Nature Reviews Microbiology, 2010
818 citations recorded by the source corpus.
Subfields: Microbiology, Molecular Medicine, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/1fe4e7423cc824d26f8f2d4416f734f93ae52406
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Wengong Jin
- Regina Barzilay
- Tommi S. Jaakkola
- Kevin Yang
- Percy Liang
- Felix Wong
- Yoshua Bengio
- Erica J. Zheng
Citations in the corpus
- A Deep Learning Approach to Antibiotic Discovery. (2020, neutral): “Moreover, given that cells must maintain an electrochemical transmembrane gradient for viability (Hurdle et al., 2011; Coates and Hu, 2008), dissipation of the proton motive force would result in the death of tolerant cells.”
- Discovery of a structural class of antibiotics with explainable deep learning (2023, background): “…mechanism of action 1 and bacterial membrane-sensitive mechanisms of action have often been de-prioritized in antibiotic drug discovery owing in part to potential lack of selectivity 41 , compounds 1 and 2 selectively target Gram-positive bacteria over Gram-negative bacteria and human cells.”
- A deep learning approach to antibiotic discovery (2020, background): “Moreover, given that cells must maintain an electrochemical transmembrane gradient for viability (Hurdle et al., 2011; Coates and Hu, 2008), dissipation of the proton motive force would result in the death of tolerant cells.”
- Global landscape of cell envelope protein complexes in Escherichia coli (2017, background): “Co-localized to the same compartment 881 (3,351) Bait-prey (or prey–prey) associations with CEPs”