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Cited by 218

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Nanomechanical detection of antibiotic–mucopeptide binding in a model for superbug drug resistance

Open access
Ndieyira, Joseph Wafula, Watari, Moyu, Barrera, Alejandra Donoso, Zhou, Dejian, Vögtli, Manuel, Batchelor, Matthew, Cooper, Matthew A., Strunz, Torsten, Horton, Mike A., Abell, Chris, Rayment, Trevor, Aeppli, Gabriel, McKendry, Rachel A.·2008·Nature Nanotechnology

Abstract

The alarming growth of the antibiotic-resistant superbugs methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE) is driving the development of new technologies to investigate antibiotics and their modes of action. We report the label-free detection of vancomycin binding to bacterial cell wall precursor analogues (mucopeptides) on cantilever arrays, with 10 nM sensitivity and at clinically relevant concentrations in blood serum. Differential measurements have quantified binding constants for vancomycin-sensitive and vancomycin-resistant mucopeptide analogues. Moreover, by systematically modifying the mucopeptide density we gain new insights into the origin of surface stress. We propose that stress is a product of a local chemical binding factor and a geometrical factor describing the mechanical connectivity of regions activated by local binding in terms of a percolation process. Our findings place BioMEMS devices in a new class of percolative systems. The percolation concept will underpin the design of devices and coatings to significantly lower the drug detection limit and may also have an impact on our understanding of antibiotic drug action in bacteria.

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Crossref · 10.1038/nnano.2008.275

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Metadata

Authors
Ndieyira, J. W., Watari, M., Barrera, A. D., Zhou, D., Vögtli, M., Batchelor, M., Cooper, M. A., Strunz, T., Horton, M. A., Abell, C., Rayment, T., Aeppli, G., & McKendry, R. A.
Venue
Nature Nanotechnology
Published
2008-10-12
Volume
3
Issue
11
Pages
691-696
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W1971023793
Cited by
218
References
1
FWCI
11.99
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Nanomechanical detection of antibiotic–mucopeptide binding in a model for superbug drug resistance. https://app.cochat.ai/papers/10.1038/nnano.2008.275
The paper
Ndieyira, J. W., Watari, M., Barrera, A. D., Zhou, D., Vögtli, M., Batchelor, M., Cooper, M. A., Strunz, T., Horton, M. A., Abell, C., Rayment, T., Aeppli, G., & McKendry, R. A. (2008). Nanomechanical detection of antibiotic–mucopeptide binding in a model for superbug drug resistance. Nature Nanotechnology. https://doi.org/10.1038/nnano.2008.275

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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.