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Cited by 306

The DOI matches its Crossref record; 292 of the 292 references it cites were found in a registry or an index.

Single-molecule biophysics: at the interface of biology, physics and chemistry

Open access
Deniz, Ashok A, Mukhopadhyay, Samrat, Lemke, Edward A·2008·Journal of The Royal Society Interface

Abstract

Single-molecule methods have matured into powerful and popular tools to probe the complex behaviour of biological molecules, due to their unique abilities to probe molecular structure, dynamics and function, unhindered by the averaging inherent in ensemble experiments. This review presents an overview of the burgeoning field of single-molecule biophysics, discussing key highlights and selected examples from its genesis to our projections for its future. Following brief introductions to a few popular single-molecule fluorescence and manipulation methods, we discuss novel insights gained from single-molecule studies in key biological areas ranging from biological folding to experiments performed in vivo .

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Registry

Crossref · 10.1098/rsif.2007.1021

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Metadata

Authors
Deniz, A. A., Mukhopadhyay, S., & Lemke, E. A.
Venue
Journal of The Royal Society Interface
Published
2007-05-22
Volume
5
Issue
18
Pages
15-45
ISSN
  • 1742-5662 (ISSN-L)
  • 1742-5689
OpenAlex
W2150453750
Cited by
306
References
292
FWCI
11.32
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Single-molecule biophysics: at the interface of biology, physics and chemistry. https://app.cochat.ai/papers/10.1098/rsif.2007.1021
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Deniz, A. A., Mukhopadhyay, S., & Lemke, E. A. (2008). Single-molecule biophysics: at the interface of biology, physics and chemistry. Journal of The Royal Society Interface. https://doi.org/10.1098/rsif.2007.1021

Data sources

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.