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Determination of the composition of heterogeneous binder solutions by surface plasmon resonance biosensing
Surface plasmon resonance-based biosensors have been extensively applied to the characterization of the binding kinetics between purified (bio)molecules, thanks to robust data analysis techniques. However, data analysis for solutions containing multiple interactants is still at its infancy. We here...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878517/ https://www.ncbi.nlm.nih.gov/pubmed/33574483 http://dx.doi.org/10.1038/s41598-021-83268-z |
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author | Gaudreault, Jimmy Liberelle, Benoît Durocher, Yves Henry, Olivier De Crescenzo, Gregory |
author_facet | Gaudreault, Jimmy Liberelle, Benoît Durocher, Yves Henry, Olivier De Crescenzo, Gregory |
author_sort | Gaudreault, Jimmy |
collection | PubMed |
description | Surface plasmon resonance-based biosensors have been extensively applied to the characterization of the binding kinetics between purified (bio)molecules, thanks to robust data analysis techniques. However, data analysis for solutions containing multiple interactants is still at its infancy. We here present two algorithms for (1) the reliable and accurate determination of the kinetic parameters of N interactants present at different ratios in N mixtures and (2) the estimation of the ratios of each interactant in a given mixture, assuming that their kinetic parameters are known. Both algorithms assume that the interactants compete to bind to an immobilized ligand in a 1:1 fashion and necessitate prior knowledge of the total concentration of all interactants combined. The effectiveness of these two algorithms was experimentally validated with a model system corresponding to mixtures of four small molecular weight drugs binding to an immobilized protein. This approach enables the in-depth characterization of mixtures using SPR, which may be of considerable interest for many drug discovery or development applications, notably for protein glycovariant analysis. |
format | Online Article Text |
id | pubmed-7878517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78785172021-02-12 Determination of the composition of heterogeneous binder solutions by surface plasmon resonance biosensing Gaudreault, Jimmy Liberelle, Benoît Durocher, Yves Henry, Olivier De Crescenzo, Gregory Sci Rep Article Surface plasmon resonance-based biosensors have been extensively applied to the characterization of the binding kinetics between purified (bio)molecules, thanks to robust data analysis techniques. However, data analysis for solutions containing multiple interactants is still at its infancy. We here present two algorithms for (1) the reliable and accurate determination of the kinetic parameters of N interactants present at different ratios in N mixtures and (2) the estimation of the ratios of each interactant in a given mixture, assuming that their kinetic parameters are known. Both algorithms assume that the interactants compete to bind to an immobilized ligand in a 1:1 fashion and necessitate prior knowledge of the total concentration of all interactants combined. The effectiveness of these two algorithms was experimentally validated with a model system corresponding to mixtures of four small molecular weight drugs binding to an immobilized protein. This approach enables the in-depth characterization of mixtures using SPR, which may be of considerable interest for many drug discovery or development applications, notably for protein glycovariant analysis. Nature Publishing Group UK 2021-02-11 /pmc/articles/PMC7878517/ /pubmed/33574483 http://dx.doi.org/10.1038/s41598-021-83268-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gaudreault, Jimmy Liberelle, Benoît Durocher, Yves Henry, Olivier De Crescenzo, Gregory Determination of the composition of heterogeneous binder solutions by surface plasmon resonance biosensing |
title | Determination of the composition of heterogeneous binder solutions by surface plasmon resonance biosensing |
title_full | Determination of the composition of heterogeneous binder solutions by surface plasmon resonance biosensing |
title_fullStr | Determination of the composition of heterogeneous binder solutions by surface plasmon resonance biosensing |
title_full_unstemmed | Determination of the composition of heterogeneous binder solutions by surface plasmon resonance biosensing |
title_short | Determination of the composition of heterogeneous binder solutions by surface plasmon resonance biosensing |
title_sort | determination of the composition of heterogeneous binder solutions by surface plasmon resonance biosensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878517/ https://www.ncbi.nlm.nih.gov/pubmed/33574483 http://dx.doi.org/10.1038/s41598-021-83268-z |
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