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A parametrized two-domain thermodynamic model explains diverse mutational effects on protein allostery
New experimental findings continue to challenge our understanding of protein allostery. Recent deep mutational scanning study showed that allosteric hotspots in the tetracycline repressor (TetR) and its homologous transcriptional factors are broadly distributed rather than spanning well-defined stru...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473640/ https://www.ncbi.nlm.nih.gov/pubmed/37662419 http://dx.doi.org/10.1101/2023.08.06.552196 |
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author | Liu, Zhuang Gillis, Thomas Raman, Srivatsan Cui, Qiang |
author_facet | Liu, Zhuang Gillis, Thomas Raman, Srivatsan Cui, Qiang |
author_sort | Liu, Zhuang |
collection | PubMed |
description | New experimental findings continue to challenge our understanding of protein allostery. Recent deep mutational scanning study showed that allosteric hotspots in the tetracycline repressor (TetR) and its homologous transcriptional factors are broadly distributed rather than spanning well-defined structural pathways as often assumed. Moreover, hotspot mutation-induced allostery loss was rescued by distributed additional mutations in a degenerate fashion. Here, we develop a two-domain thermodynamic model for TetR, which readily rationalizes these intriguing observations. The model accurately captures the in vivo activities of various mutants with changes in physically transparent parameters, allowing the data-based quantification of mutational effects using statistical inference. Our analysis reveals the intrinsic connection of intra- and inter-domain properties for allosteric regulation and illustrate epistatic interactions that are consistent with structural features of the protein. The insights gained from this study into the nature of two-domain allostery are expected to have broader implications for other multidomain allosteric proteins. |
format | Online Article Text |
id | pubmed-10473640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-104736402023-09-02 A parametrized two-domain thermodynamic model explains diverse mutational effects on protein allostery Liu, Zhuang Gillis, Thomas Raman, Srivatsan Cui, Qiang bioRxiv Article New experimental findings continue to challenge our understanding of protein allostery. Recent deep mutational scanning study showed that allosteric hotspots in the tetracycline repressor (TetR) and its homologous transcriptional factors are broadly distributed rather than spanning well-defined structural pathways as often assumed. Moreover, hotspot mutation-induced allostery loss was rescued by distributed additional mutations in a degenerate fashion. Here, we develop a two-domain thermodynamic model for TetR, which readily rationalizes these intriguing observations. The model accurately captures the in vivo activities of various mutants with changes in physically transparent parameters, allowing the data-based quantification of mutational effects using statistical inference. Our analysis reveals the intrinsic connection of intra- and inter-domain properties for allosteric regulation and illustrate epistatic interactions that are consistent with structural features of the protein. The insights gained from this study into the nature of two-domain allostery are expected to have broader implications for other multidomain allosteric proteins. Cold Spring Harbor Laboratory 2023-08-26 /pmc/articles/PMC10473640/ /pubmed/37662419 http://dx.doi.org/10.1101/2023.08.06.552196 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Liu, Zhuang Gillis, Thomas Raman, Srivatsan Cui, Qiang A parametrized two-domain thermodynamic model explains diverse mutational effects on protein allostery |
title | A parametrized two-domain thermodynamic model explains diverse mutational effects on protein allostery |
title_full | A parametrized two-domain thermodynamic model explains diverse mutational effects on protein allostery |
title_fullStr | A parametrized two-domain thermodynamic model explains diverse mutational effects on protein allostery |
title_full_unstemmed | A parametrized two-domain thermodynamic model explains diverse mutational effects on protein allostery |
title_short | A parametrized two-domain thermodynamic model explains diverse mutational effects on protein allostery |
title_sort | parametrized two-domain thermodynamic model explains diverse mutational effects on protein allostery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473640/ https://www.ncbi.nlm.nih.gov/pubmed/37662419 http://dx.doi.org/10.1101/2023.08.06.552196 |
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