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Cited by 1,646

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Translating Biomolecular Recognition into Nanomechanics

Fritz, J., Baller, M. K., Lang, H. P., Rothuizen, H., Vettiger, P., Meyer, E., -J. Güntherodt, H., Gerber, Ch., Gimzewski, J. K.·2000·Science

Abstract

We report the specific transduction, via surface stress changes, of DNA hybridization and receptor-ligand binding into a direct nanomechanical response of microfabricated cantilevers. Cantilevers in an array were functionalized with a selection of biomolecules. The differential deflection of the cantilevers was found to provide a true molecular recognition signal despite large nonspecific responses of individual cantilevers. Hybridization of complementary oligonucleotides shows that a single base mismatch between two 12-mer oligonucleotides is clearly detectable. Similar experiments on protein A–immunoglobulin interactions demonstrate the wide-ranging applicability of nanomechanical transduction to detect biomolecular recognition.

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Crossref · 10.1126/science.288.5464.316

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Metadata

Authors
Fritz, J., Baller, M. K., Lang, H. P., Rothuizen, H., Vettiger, P., Meyer, E., -J. Güntherodt, H., Gerber, C., & Gimzewski, J. K.
Venue
Science
Published
2000-04-14
Volume
288
Issue
5464
Pages
316-318
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2030552522
Cited by
1,646
References
12
FWCI
20.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Translating Biomolecular Recognition into Nanomechanics. https://app.cochat.ai/papers/10.1126/science.288.5464.316
The paper
Fritz, J., Baller, M. K., Lang, H. P., Rothuizen, H., Vettiger, P., Meyer, E., -J. Güntherodt, H., Gerber, C., & Gimzewski, J. K. (2000). Translating Biomolecular Recognition into Nanomechanics. Science. https://doi.org/10.1126/science.288.5464.316

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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.