| Autor: |
David C. Marciano, Chen Wang, Teng-Kuei Hsu, Thomas Bourquard, Benu Atri, Ralf B. Nehring, Nicholas S. Abel, Elizabeth A. Bowling, Taylor J. Chen, Pamela D. Lurie, Panagiotis Katsonis, Susan M. Rosenberg, Christophe Herman, Olivier Lichtarge |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-30889-1 |
| Popis: |
The emergence of antibiotic resistance, even against last-line antibiotics such as colistin, is a serious public health threat. To guide treatment and drug development strategies, Marciano et al. apply evolutionary action (EA) analysis to identify driver mutations in a noisy mutational background in experimental evolution experiments and inform about de novo colistin resistance drivers. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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