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Parameter estimation on multivalent ITC data sets
The Wiseman fitting can be used to extract binding parameters from ITC data sets, such as heat of binding, number of binding sites, and the overall dissociation rate. The classical Wiseman fitting assumes a direct binding process and neglects the possibility of intermediate binding steps. In princip...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352788/ https://www.ncbi.nlm.nih.gov/pubmed/35927455 http://dx.doi.org/10.1038/s41598-022-17188-x |
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author | Erlekam, Franziska Zumbansen, Maximilian Weber, Marcus |
author_facet | Erlekam, Franziska Zumbansen, Maximilian Weber, Marcus |
author_sort | Erlekam, Franziska |
collection | PubMed |
description | The Wiseman fitting can be used to extract binding parameters from ITC data sets, such as heat of binding, number of binding sites, and the overall dissociation rate. The classical Wiseman fitting assumes a direct binding process and neglects the possibility of intermediate binding steps. In principle, it only provides thermodynamic information and not the kinetics of the process. In this article we show that a concentration dependent dissociation constant could possibly stem from intermediate binding steps. The mathematical form of this dependency can be exploited with the aid of the Robust Perron Cluster Cluster Analysis method. Our proposed extension of the Wiseman fitting rationalizes the concentration dependency, and can probably also be used to determine the kinetic parameters of intermediate binding steps of a multivalent binding process. The novelty of this paper is to assume that the binding rate varies per titration step due to the change of the ligand concentration and to use this information in the Wiseman fitting. We do not claim to produce the most accurate values of the binding parameters, we rather present a novel method of how to approach multivalent bindings from a different angle. |
format | Online Article Text |
id | pubmed-9352788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93527882022-08-06 Parameter estimation on multivalent ITC data sets Erlekam, Franziska Zumbansen, Maximilian Weber, Marcus Sci Rep Article The Wiseman fitting can be used to extract binding parameters from ITC data sets, such as heat of binding, number of binding sites, and the overall dissociation rate. The classical Wiseman fitting assumes a direct binding process and neglects the possibility of intermediate binding steps. In principle, it only provides thermodynamic information and not the kinetics of the process. In this article we show that a concentration dependent dissociation constant could possibly stem from intermediate binding steps. The mathematical form of this dependency can be exploited with the aid of the Robust Perron Cluster Cluster Analysis method. Our proposed extension of the Wiseman fitting rationalizes the concentration dependency, and can probably also be used to determine the kinetic parameters of intermediate binding steps of a multivalent binding process. The novelty of this paper is to assume that the binding rate varies per titration step due to the change of the ligand concentration and to use this information in the Wiseman fitting. We do not claim to produce the most accurate values of the binding parameters, we rather present a novel method of how to approach multivalent bindings from a different angle. Nature Publishing Group UK 2022-08-04 /pmc/articles/PMC9352788/ /pubmed/35927455 http://dx.doi.org/10.1038/s41598-022-17188-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Article Erlekam, Franziska Zumbansen, Maximilian Weber, Marcus Parameter estimation on multivalent ITC data sets |
title | Parameter estimation on multivalent ITC data sets |
title_full | Parameter estimation on multivalent ITC data sets |
title_fullStr | Parameter estimation on multivalent ITC data sets |
title_full_unstemmed | Parameter estimation on multivalent ITC data sets |
title_short | Parameter estimation on multivalent ITC data sets |
title_sort | parameter estimation on multivalent itc data sets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352788/ https://www.ncbi.nlm.nih.gov/pubmed/35927455 http://dx.doi.org/10.1038/s41598-022-17188-x |
work_keys_str_mv | AT erlekamfranziska parameterestimationonmultivalentitcdatasets AT zumbansenmaximilian parameterestimationonmultivalentitcdatasets AT webermarcus parameterestimationonmultivalentitcdatasets |