The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
From Genetic Footprinting to Antimicrobial Drug Targets: Examples in Cofactor Biosynthetic Pathways
Open accessAbstract
Novel drug targets are required in order to design new defenses against antibiotic-resistant pathogens. Comparative genomics provides new opportunities for finding optimal targets among previously unexplored cellular functions, based on an understanding of related biological processes in bacterial pathogens and their hosts. We describe an integrated approach to identification and prioritization of broad-spectrum drug targets. Our strategy is based on genetic footprinting in Escherichia coli followed by metabolic context analysis of essential gene orthologs in various species. Genes required for viability of E. coli in rich medium were identified on a whole-genome scale using the genetic footprinting technique. Potential target pathways were deduced from these data and compared with a panel of representative bacterial pathogens by using metabolic reconstructions from genomic data. Conserved and indispensable functions revealed by this analysis potentially represent broad-spectrum antibacterial targets. Further target prioritization involves comparison of the corresponding pathways and individual functions between pathogens and the human host. The most promising targets are validated by direct knockouts in model pathogens. The efficacy of this approach is illustrated using examples from metabolism of adenylate cofactors NAD(P), coenzyme A, and flavin adenine dinucleotide. Several drug targets within these pathways, including three distantly related adenylyltransferases (orthologs of the E. coli genes nadD,coaD, and ribF), are discussed in detail.
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Cites
Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence
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Cited by
The power to reduce: pyridine nucleotides—small molecules with a multitude of functions
Pollak, N., Dölle, C., & Ziegler, M. (2007) · Biochemical Journal · doi:10.1042/bj20061638 · Cited by 730
Determination of the Core of a Minimal Bacterial Gene Set
Gil, R., Silva, F. J., Peretó, J., & Moya, A. (2004) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.68.3.518-537.2004 · Cited by 573
Essential genome of Pseudomonas aeruginosa in cystic fibrosis sputum
Turner, K. H., Wessel, A. K., Palmer, G. C., Murray, J. L., & Whiteley, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419677112 · Cited by 432
NADPH-generating systems in bacteria and archaea
Spaans, S. K., Weusthuis, R. A., van der Oost, J., & Kengen, S. W. M. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00742 · Cited by 373
NAD+ and Vitamin B3: From Metabolism to Therapies
Sauve, A. A. (2008) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.107.120758 · Cited by 304
Metadata
- Authors
- Gerdes, S. Y., Scholle, M. D., D'Souza, M., Bernal, A., Baev, M. V., Farrell, M., Kurnasov, O. V., Daugherty, M. D., Mseeh, F., Polanuyer, B. M., Campbell, J. W., Anantha, S., Shatalin, K. Y., Chowdhury, S. A. K., Fonstein, M. Y., & Osterman, A. L.
- Venue
- Journal of Bacteriology
- Publisher
- American Society for Microbiology
- Published
- 2002-08-15
- Volume
- 184
- Issue
- 16
- Pages
- 4555-4572
- ISSN
- 0021-9193 (ISSN-L)
- 1098-5530
- OpenAlex
- W2152298121
- Cited by
- 282
- References
- 4
- FWCI
- 6.91
- Type
- journal article
- Language
- en
- Open access
- green
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- Gerdes, S. Y., Scholle, M. D., D'Souza, M., Bernal, A., Baev, M. V., Farrell, M., Kurnasov, O. V., Daugherty, M. D., Mseeh, F., Polanuyer, B. M., Campbell, J. W., Anantha, S., Shatalin, K. Y., Chowdhury, S. A. K., Fonstein, M. Y., & Osterman, A. L. (2002). From Genetic Footprinting to Antimicrobial Drug Targets: Examples in Cofactor Biosynthetic Pathways. Journal of Bacteriology. https://doi.org/10.1128/jb.184.16.4555-4572.2002
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.