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Cited by 286

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Antibiotic Resistance in Bacteria and Its Future for Novel Antibiotic Development

YONEYAMA, Hiroshi, KATSUMATA, Ryoichi·2006·Bioscience, Biotechnology, and Biochemistry

Abstract

Since the first introduction of the sulfa drugs and penicillin into clinical use, large numbers of antibiotics have been developed and hence contributed to human health. But extensive use of antibiotics has raised a serious public health problem due to multiantibiotic resistant bacterial pathogens that inevitably develop resistance to every new drug launched in the clinic. Consequently, there is a pressing need to develop new antibiotics to keep pace with bacterial resistance. Recent advances in microbial genomics and X-ray crystallography provide opportunities to identify novel antibacterial targets for the development of new classes of antibiotics and to design more potent antimicrobial compounds derived from existing antibiotics respectively. To prevent and control infectious diseases caused by multiantibiotic resistant bacteria, we need to understand more about the molecular aspects of the pathogens' physiology and to pursue ways to prolong the life of precious antibiotics.

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Metadata

Authors
YONEYAMA, H., & KATSUMATA, R.
Venue
Bioscience, Biotechnology, and Biochemistry
Published
2006-05-23
Volume
70
Issue
5
Pages
1060-1075
ISSN
  • 0916-8451 (ISSN-L)
  • 1347-6947
OpenAlex
W1992587080
Cited by
286
References
9
FWCI
4.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Antibiotic Resistance in Bacteria and Its Future for Novel Antibiotic Development. https://app.cochat.ai/papers/10.1271/bbb.70.1060
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YONEYAMA, H., & KATSUMATA, R. (2006). Antibiotic Resistance in Bacteria and Its Future for Novel Antibiotic Development. Bioscience, Biotechnology, and Biochemistry. https://doi.org/10.1271/bbb.70.1060

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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.