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Molecular Interaction Studies Using Microscale Thermophoresis

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Jerabek-Willemsen, Moran, Wienken, Chistoph J., Braun, Dieter, Baaske, Philipp, Duhr, Stefan·2011·ASSAY and Drug Development Technologies

Abstract

Abstract The use of infrared laser sources for creation of localized temperature fields has opened new possibilities for basic research and drug discovery. A recently developed technology, Microscale Thermophoresis (MST), uses this temperature field to perform biomolecular interaction studies. Thermophoresis, the motion of molecules in temperature fields, is very sensitive to changes in size, charge, and solvation shell of a molecule and thus suited for bioanalytics. This review focuses on the theoretical background of MST and gives a detailed overview on various applications to demonstrate the broad applicability. Experiments range from the quantification of the affinity of low-molecular-weight binders using fluorescently labeled proteins, to interactions between macromolecules and multi-component complexes like receptor containing liposomes. Information regarding experiment and experimental setup is based on the Monolith NT.115 instrument (NanoTemper Technologies GmbH).

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Metadata

Authors
Jerabek-Willemsen, M., Wienken, C. J., Braun, D., Baaske, P., & Duhr, S.
Venue
ASSAY and Drug Development Technologies
Published
2011-08
Volume
9
Issue
4
Pages
342-353
ISSN
  • 1540-658X (ISSN-L)
  • 1557-8127
OpenAlex
W2114160655
Cited by
812
References
0
FWCI
27.42
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Molecular Interaction Studies Using Microscale Thermophoresis. https://app.cochat.ai/papers/10.1089/adt.2011.0380
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Jerabek-Willemsen, M., Wienken, C. J., Braun, D., Baaske, P., & Duhr, S. (2011). Molecular Interaction Studies Using Microscale Thermophoresis. ASSAY and Drug Development Technologies. https://doi.org/10.1089/adt.2011.0380

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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.