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Cited by 216

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Antimicrobial Metallopolymers and Their Bioconjugates with Conventional Antibiotics against Multidrug-Resistant Bacteria

Zhang, Jiuyang, Chen, Yung Pin, Miller, Kristen P., Ganewatta, Mitra S., Bam, Marpe, Yan, Yi, Nagarkatti, Mitzi, Decho, Alan W., Tang, Chuanbing·2014·Journal of the American Chemical Society

Abstract

Bacteria are now becoming more resistant to most conventional antibiotics. Methicillin-resistant Staphylococcus aureus (MRSA), a complex of multidrug-resistant Gram-positive bacterial strains, has proven especially problematic in both hospital and community settings by deactivating conventional β-lactam antibiotics, including penicillins, cephalosporins, and carbapenems, through various mechanisms, resulting in increased mortality rates and hospitalization costs. Here we introduce a class of charged metallopolymers that exhibit synergistic effects against MRSA by efficiently inhibiting activity of β-lactamase and effectively lysing bacterial cells. Various conventional β-lactam antibiotics, including penicillin-G, amoxicillin, ampicillin, and cefazolin, are protected from β-lactamase hydrolysis via the formation of unique ion-pairs between their carboxylate anions and cationic cobaltocenium moieties. These discoveries could provide a new pathway for designing macromolecular scaffolds to regenerate vitality of conventional antibiotics to kill multidrug-resistant bacteria and superbugs.

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Crossref · 10.1021/ja5011338

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Metadata

Authors
Zhang, J., Chen, Y. P., Miller, K. P., Ganewatta, M. S., Bam, M., Yan, Y., Nagarkatti, M., Decho, A. W., & Tang, C.
Venue
Journal of the American Chemical Society
Published
2014-03-20
Volume
136
Issue
13
Pages
4873-4876
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2325628002
Cited by
216
References
2
FWCI
11.13
Type
journal article
Language
en
Open access
closed

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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).

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