The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Proteomic Approach to Understanding Antibiotic Action
Open accessAbstract
We have used proteomic technology to elucidate the complex cellular responses of Bacillus subtilis to antimicrobial compounds belonging to classical and emerging antibiotic classes. We established on two-dimensional gels a comprehensive database of cytoplasmic proteins with pIs covering a range of 4 to 7 that were synthesized during treatment with antibiotics or agents known to cause generalized cell damage. Although each antibiotic showed an individual protein expression profile, overlaps in the expression of marker proteins reflected similarities in molecular drug mechanisms, suggesting that novel compounds with unknown mechanisms of action may be classified. Indeed, one such substance, a structurally novel protein synthesis inhibitor (BAY 50-2369), could be classified as a peptidyltransferase inhibitor. These results suggest that this technique gives new insights into the bacterial response toward classical antibiotics and hints at modes of action of novel compounds. Such a method should prove useful in the process of antibiotic drug discovery.
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Cites
The complete genome sequence of the gram-positive bacterium Bacillus subtilis.
Kunst, F., Ogasawara, N., Moszer, I., Albertini, A. M., Alloni, G., Azevedo, V., Bertero, M. G., Bessières, P., Bolotin, A., Borchert, S., et al. (1997) · Nature · doi:10.1038/36786 · Cited by 3,679
Eymann, C., Homuth, G., Scharf, C., & Hecker, M. (2002) · Journal of Bacteriology · doi:10.1128/jb.184.9.2500-2520.2002 · Cited by 306
Self-citation
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Zipperer, A., Konnerth, M. C., Laux, C., Berscheid, A., Janek, D., Weidenmaier, C., Burian, M., Schilling, N. A., Slavetinsky, C., Marschal, M., et al. (2016) · Nature · doi:10.1038/nature18634 · Cited by 938
Dysregulation of bacterial proteolytic machinery by a new class of antibiotics
Brötz-Oesterhelt, H., Beyer, D., Kroll, H.-P., Endermann, R., Ladel, C., Schroeder, W., Hinzen, B., Raddatz, S., Paulsen, H., Henninger, K., et al. (2005) · Nature Medicine · doi:10.1038/nm1306 · Cited by 505
Self-citationSaleem, M., & Saeed, M. T. (2020) · Journal of King Saud University - Science · doi:10.1016/j.jksus.2019.02.013 · Cited by 147
Antibiotic research in the age of omics: from expression profiles to interspecies communication
Wecke, T., & Mascher, T. (2011) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkr373 · Cited by 62
The opportunities of mining historical and collective data in drug discovery
Wassermann, A. M., Lounkine, E., Davies, J. W., Glick, M., & Camargo, L. M. (2015) · Drug Discovery Today · doi:10.1016/j.drudis.2014.11.004 · Cited by 34
Metadata
- Authors
- Bandow, J. E., Brötz, H., Leichert, L. I. O., Labischinski, H., & Hecker, M.
- Venue
- Antimicrobial Agents and Chemotherapy
- Publisher
- American Society for Microbiology
- Published
- 2003-03
- Volume
- 47
- Issue
- 3
- Pages
- 948-955
- ISSN
- 0066-4804 (ISSN-L)
- 1098-6596
- OpenAlex
- W2108196738
- Cited by
- 391
- References
- 2
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- green
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- Bandow, J. E., Brötz, H., Leichert, L. I. O., Labischinski, H., & Hecker, M. (2003). Proteomic Approach to Understanding Antibiotic Action. Antimicrobial Agents and Chemotherapy. https://doi.org/10.1128/aac.47.3.948-955.2003
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