Featured
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Discovery of a structural class of antibiotics with explainable deep learning
An explainable deep learning model using a chemical substructure-based approach for the exploration of chemical compound libraries identified structural classes of compounds with antibiotic activity and low toxicity.
- Felix Wong
- , Erica J. Zheng
- & James J. Collins
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Enterococci enhance Clostridioides difficile pathogenesis
Enterococci enhance the fitness and pathogenesis of Clostridioides difficile in the gut by altering the amino acid composition and providing signals that increase its virulence towards the host.
- Alexander B. Smith
- , Matthew L. Jenior
- & Joseph P. Zackular
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The functional proteome landscape of Escherichia coli
Thermal proteome profiling combined with a reverse genetics approach provides insights into the abundance and thermal stability of the global proteome of Escherichia coli.
- André Mateus
- , Johannes Hevler
- & Mikhail M. Savitski
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A universal trade-off between growth and lag in fluctuating environments
A model of sequential flux bottlenecks explains a universal trade-off between steady-state growth and physiological adaptation time in bacteria exposed to fluctuating growth conditions.
- Markus Basan
- , Tomoya Honda
- & Uwe Sauer
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Ion channels enable electrical communication in bacterial communities
Ion channels in bacterial biofilms are shown to conduct long-range electrical signals within the biofilm community through the propagation of potassium ions; as predicted by a simple mathematical model, potassium channel gating is shown to coordinate metabolic states between distant cells via electrical communication.
- Arthur Prindle
- , Jintao Liu
- & Gürol M. Süel
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Metabolic co-dependence gives rise to collective oscillations within biofilms
The emergence of long-range metabolic co-dependence within a biofilm drives oscillations in growth that resolve a social conflict between cooperation and competition, thereby increasing community-level fitness against chemical attack.
- Jintao Liu
- , Arthur Prindle
- & Gürol M. Süel
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Letter |
Stochasticity of metabolism and growth at the single-cell level
The inherent stochasticity in metabolic reactions is a potent source of phenotypic heterogeneity in cell populations, with potentially fundamental implications for cancer research.
- Daniel J. Kiviet
- , Philippe Nghe
- & Sander J. Tans