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Comparison of methods for quantitative biomolecular interaction analysis
In order to perform good kinetic experiments, not only the experimental conditions have to be optimized, but the evaluation procedure as well. The focus of this work is the in-depth comparison of different approaches and algorithms to determine kinetic rate constants for biomolecular interaction ana...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748344/ https://www.ncbi.nlm.nih.gov/pubmed/34505164 http://dx.doi.org/10.1007/s00216-021-03623-x |
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author | Conrad, Monika Fechner, Peter Proll, Günther Gauglitz, Günter |
author_facet | Conrad, Monika Fechner, Peter Proll, Günther Gauglitz, Günter |
author_sort | Conrad, Monika |
collection | PubMed |
description | In order to perform good kinetic experiments, not only the experimental conditions have to be optimized, but the evaluation procedure as well. The focus of this work is the in-depth comparison of different approaches and algorithms to determine kinetic rate constants for biomolecular interaction analysis (BIA). The different algorithms are applied not only to flawless simulated data, but also to real-world measurements. We compare five mathematical approaches for the evaluation of binding curves following pseudo-first-order kinetics with different noise levels. In addition, reflectometric interference spectroscopy (RIfS) measurements of two antibodies are evaluated to determine their binding kinetics. The advantages and disadvantages of the individual approach will be investigated and discussed in detail. In summary, we will raise awareness on how to evaluate and judge results from BIA by using different approaches rather than having to rely on “black box” closed (commercial) software packages. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-021-03623-x. |
format | Online Article Text |
id | pubmed-8748344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87483442022-01-20 Comparison of methods for quantitative biomolecular interaction analysis Conrad, Monika Fechner, Peter Proll, Günther Gauglitz, Günter Anal Bioanal Chem Research Paper In order to perform good kinetic experiments, not only the experimental conditions have to be optimized, but the evaluation procedure as well. The focus of this work is the in-depth comparison of different approaches and algorithms to determine kinetic rate constants for biomolecular interaction analysis (BIA). The different algorithms are applied not only to flawless simulated data, but also to real-world measurements. We compare five mathematical approaches for the evaluation of binding curves following pseudo-first-order kinetics with different noise levels. In addition, reflectometric interference spectroscopy (RIfS) measurements of two antibodies are evaluated to determine their binding kinetics. The advantages and disadvantages of the individual approach will be investigated and discussed in detail. In summary, we will raise awareness on how to evaluate and judge results from BIA by using different approaches rather than having to rely on “black box” closed (commercial) software packages. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-021-03623-x. Springer Berlin Heidelberg 2021-09-10 2022 /pmc/articles/PMC8748344/ /pubmed/34505164 http://dx.doi.org/10.1007/s00216-021-03623-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Paper Conrad, Monika Fechner, Peter Proll, Günther Gauglitz, Günter Comparison of methods for quantitative biomolecular interaction analysis |
title | Comparison of methods for quantitative biomolecular interaction analysis |
title_full | Comparison of methods for quantitative biomolecular interaction analysis |
title_fullStr | Comparison of methods for quantitative biomolecular interaction analysis |
title_full_unstemmed | Comparison of methods for quantitative biomolecular interaction analysis |
title_short | Comparison of methods for quantitative biomolecular interaction analysis |
title_sort | comparison of methods for quantitative biomolecular interaction analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748344/ https://www.ncbi.nlm.nih.gov/pubmed/34505164 http://dx.doi.org/10.1007/s00216-021-03623-x |
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