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      The role of ligand rebinding and facilitated dissociation on the characterization of dissociation rates by surface plasmon resonance (SPR) and benchmarking performance metrics

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      Author(s)
      Erbaş, Aykut
      İnci, Fatih
      Editor
      Vanhaelen, Quentin
      Date
      2022
      Source Title
      Computational methods for estimating the kinetic parameters of biological systems
      Print ISSN
      1064-3745
      Publisher
      Springer
      Volume
      2385
      Pages
      237 - 253
      Language
      English
      Type
      Book Chapter
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      Book Title
      Computational methods for estimating the kinetic parameters of biological systems
      Series
      Methods in Molecular Biology;
      Abstract
      Surface plasmon resonance (SPR) is a real-time kinetic measurement principle that can probe the kinetic interactions between ligands and their binding sites, and lies at the backbone of pharmaceutical, biosensing, and biomolecular research. The extraction of dissociation rates from SPR-response signals often relies on several commonly adopted assumptions, one of which is the exponential decay of the dissociation part of the response signal. However, certain conditions, such as high density of binding sites or high concentration fluctuations near the surface as compared to the bulk, can lead to non-exponential decays via ligand rebinding or facilitated dissociation. Consequently, fitting the data with an exponential function can underestimate or overestimate the measured dissociation rates. Here, we describe a set of alternative fit functions that can take such effects into consideration along with plasmonic sensor design principles with key performance metrics, thereby suggesting methods for error-free high-precision extraction of the dissociation rates.
      Keywords
      Off-rate
      Binding kinetics
      Facilitated dissociation
      Dissociation
      Plasmonic sensors
      Surface chemistry
      Permalink
      http://hdl.handle.net/11693/111306
      Published Version (Please cite this version)
      https://www.doi.org/10.1007/978-1-0716-1767-0_11
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      • Institute of Materials Science and Nanotechnology (UNAM) 2258
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