Refined procedure of evaluating experimental single-molecule force spectroscopy data

Alexander Fuhrmann, Dario Anselmetti, Robert Ros, Sebastian Getfert, Peter Reimann

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Dynamic force spectroscopy is a well-established tool to study molecular recognition in a wide range of binding affinities on the single-molecule level. The theoretical interpretation of these data is still very challenging and the models describe the experimental data only partly. In this paper we reconsider the basic assumptions of the models on the basis of an experimental data set and propose an approach of analyzing and quantitatively evaluating dynamic force spectroscopy data on single ligand-receptor complexes. We present our procedure to process and analyze the force-distance curves, to detect the rupture events in an automated manner, and to calculate quantitative parameters for a biophysical characterization of the investigated interaction.

Original languageEnglish (US)
Article number031912
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume77
Issue number3
DOIs
StatePublished - Mar 13 2008
Externally publishedYes

Fingerprint

Spectroscopy
Experimental Data
spectroscopy
molecules
Rupture
Receptor
Affine transformation
affinity
Calculate
ligands
Curve
curves
Interaction
Model
Range of data
interactions
Interpretation

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Condensed Matter Physics
  • Statistical and Nonlinear Physics
  • Mathematical Physics

Cite this

Refined procedure of evaluating experimental single-molecule force spectroscopy data. / Fuhrmann, Alexander; Anselmetti, Dario; Ros, Robert; Getfert, Sebastian; Reimann, Peter.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 77, No. 3, 031912, 13.03.2008.

Research output: Contribution to journalArticle

Fuhrmann, Alexander ; Anselmetti, Dario ; Ros, Robert ; Getfert, Sebastian ; Reimann, Peter. / Refined procedure of evaluating experimental single-molecule force spectroscopy data. In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2008 ; Vol. 77, No. 3.
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