Drug combinations: a strategy to extend the life of antibiotics in the 21st century

By Mike Tyers, Gerard D. Wright. Nature Reviews Microbiology, 2019

739 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Pharmacology

View Paper: https://www.semanticscholar.org/paper/a52f5fff0ff22cf7f43b9460cf369fd7e34feda3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. James J. Collins

In Molecular Biology

1. D. McCloskey
2. Bernhard O. Palsson
3. James J. Collins
4. Scott A. Beatson
5. David L. Paterson
6. Jennie L. Reed
7. Adam M. Feist
8. C. Schilling

In Pharmacology

1. James J. Collins
2. David L. Paterson

Citations in the corpus

• Antimicrobial Resistance in ESKAPE Pathogens (2020, background): “adjuvants, which act on host properties to potentiate antibiotic action (426).”
• A white-box machine learning approach for revealing antibiotic mechanisms of action (2019, positive): “Integration of such resources with machine learning could advance antibiotic discovery by revealing novel mechanisms that can be targeted with next-generation adjuvants, boosting our existing antibiotic arsenal (Tyers and Wright, 2019).”