| Autor: |
Senges, Christoph H. R., Stepanek, Jennifer J., Wenzel, Michaela, Raatschen, Nadja, Ay, Ümran, Märtens, Yvonne, Prochnow, Pascal, Vázquez Hernández, Melissa, Yayci, Abdulkadir, Schubert, Britta, Janzing, Niklas B. M., Warmuth, Helen L., Kozik, Martin, Bongard, Jens, Alumasa, John N., Albada, Bauke, Penkova, Maya, Lukežič, Tadeja, Sorto, Nohemy A., Lorenz, Nicole, Miller, Reece G., Zhu, Bingyao, Benda, Martin, Stülke, Jörg, Schäkermann, Sina, Leichert, Lars I., Scheinpflug, Kathi, Brötz-Oesterhelt, Heike, Hertweck, Christian, Shaw, Jared T., Petković, Hrvoje, Brunel, Jean M., Keiler, Kenneth C., Metzler-Nolte, Nils, Bandow, Julia E. |
| Zdroj: |
Antimicrobial Agents and Chemotherapy; October 2020, Vol. 65 Issue: 1 |
| Abstrakt: |
New antibiotics are urgently needed to address the mounting resistance challenge. In early drug discovery, one of the bottlenecks is the elucidation of targets and mechanisms. To accelerate antibiotic research, we provide a proteomic approach for the rapid classification of compounds into those with precedented and unprecedented modes of action. We established a proteomic response library of Bacillus subtiliscovering 91 antibiotics and comparator compounds, and a mathematical approach was developed to aid data analysis. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
|
