Literature DB >> 34888723

The Role of Ligand Rebinding and Facilitated Dissociation on the Characterization of Dissociation Rates by Surface Plasmon Resonance (SPR) and Benchmarking Performance Metrics.

Aykut Erbaş1, Fatih Inci2.   

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.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Binding kinetics; Dissociation; Facilitated dissociation; Off-rate; Plasmonic sensors; Surface chemistry

Mesh:

Substances:

Year:  2022        PMID: 34888723     DOI: 10.1007/978-1-0716-1767-0_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  37 in total

Review 1.  Surface plasmon resonance: towards an understanding of the mechanisms of biological molecular recognition.

Authors:  J M McDonnell
Journal:  Curr Opin Chem Biol       Date:  2001-10       Impact factor: 8.822

Review 2.  SPR for molecular interaction analysis: a review of emerging application areas.

Authors:  Robert Karlsson
Journal:  J Mol Recognit       Date:  2004 May-Jun       Impact factor: 2.137

3.  Effects of receptor clustering on ligand dissociation kinetics: theory and simulations.

Authors:  Manoj Gopalakrishnan; Kimberly Forsten-Williams; Matthew A Nugent; Uwe C Täuber
Journal:  Biophys J       Date:  2005-09-08       Impact factor: 4.033

4.  Ligand rebinding: self-consistent mean-field theory and numerical simulations applied to surface plasmon resonance studies.

Authors:  Manoj Gopalakrishnan; Kimberly Forsten-Williams; Theresa R Cassino; Luz Padro; Thomas E Ryan; Uwe C Täuber
Journal:  Eur Biophys J       Date:  2005-04-06       Impact factor: 1.733

5.  Receptor-Ligand Rebinding Kinetics in Confinement.

Authors:  Aykut Erbaş; Monica Olvera de la Cruz; John F Marko
Journal:  Biophys J       Date:  2019-04-05       Impact factor: 4.033

6.  Ligand-receptor binding kinetics in surface plasmon resonance cells: a Monte Carlo analysis.

Authors:  Jacob Carroll; Matthew Raum; Kimberly Forsten-Williams; Uwe C Täuber
Journal:  Phys Biol       Date:  2016-12-06       Impact factor: 2.583

7.  Off-rate screening (ORS) by surface plasmon resonance. An efficient method to kinetically sample hit to lead chemical space from unpurified reaction products.

Authors:  James B Murray; Stephen D Roughley; Natalia Matassova; Paul A Brough
Journal:  J Med Chem       Date:  2014-02-24       Impact factor: 7.446

Review 8.  Plasmonic-based platforms for diagnosis of infectious diseases at the point-of-care.

Authors:  Zihan Li; Luca Leustean; Fatih Inci; Min Zheng; Utkan Demirci; Shuqi Wang
Journal:  Biotechnol Adv       Date:  2019-08-30       Impact factor: 14.227

9.  Nanoplasmonic quantitative detection of intact viruses from unprocessed whole blood.

Authors:  Fatih Inci; Onur Tokel; Shuqi Wang; Umut Atakan Gurkan; Savas Tasoglu; Daniel R Kuritzkes; Utkan Demirci
Journal:  ACS Nano       Date:  2013-05-20       Impact factor: 15.881

Review 10.  Advances in plasmonic technologies for point of care applications.

Authors:  Onur Tokel; Fatih Inci; Utkan Demirci
Journal:  Chem Rev       Date:  2014-04-18       Impact factor: 60.622

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