Cargando…

Theoretical analysis of inducer and operator binding for cyclic-AMP receptor protein mutants

Allosteric transcription factors undergo binding events at inducer binding sites as well as at distinct DNA binding domains, and it is difficult to disentangle the structural and functional consequences of these two classes of interactions. We compare the ability of two statistical mechanical models...

Descripción completa

Detalles Bibliográficos
Autores principales: Einav, Tal, Duque, Julia, Phillips, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157895/
https://www.ncbi.nlm.nih.gov/pubmed/30256816
http://dx.doi.org/10.1371/journal.pone.0204275
_version_ 1783358344762753024
author Einav, Tal
Duque, Julia
Phillips, Rob
author_facet Einav, Tal
Duque, Julia
Phillips, Rob
author_sort Einav, Tal
collection PubMed
description Allosteric transcription factors undergo binding events at inducer binding sites as well as at distinct DNA binding domains, and it is difficult to disentangle the structural and functional consequences of these two classes of interactions. We compare the ability of two statistical mechanical models—the Monod-Wyman-Changeux (MWC) and the Koshland-Némethy-Filmer (KNF) models of protein conformational change—to characterize the multi-step activation mechanism of the broadly acting cyclic-AMP receptor protein (CRP). We first consider the allosteric transition resulting from cyclic-AMP binding to CRP, then analyze how CRP binds to its operator, and finally investigate the ability of CRP to activate gene expression. We use these models to examine a beautiful recent experiment that created a single-chain version of the CRP homodimer, creating six mutants using all possible combinations of the wild type, D53H, and S62F subunits. We demonstrate that the MWC model can explain the behavior of all six mutants using a small, self-consistent set of parameters whose complexity scales with the number of subunits, providing a significant benefit over previous models. In comparison, the KNF model not only leads to a poorer characterization of the available data but also fails to generate parameter values in line with the available structural knowledge of CRP. In addition, we discuss how the conceptual framework developed here for CRP enables us to not merely analyze data retrospectively, but has the predictive power to determine how combinations of mutations will interact, how double mutants will behave, and how each construct would regulate gene expression.
format Online
Article
Text
id pubmed-6157895
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-61578952018-10-19 Theoretical analysis of inducer and operator binding for cyclic-AMP receptor protein mutants Einav, Tal Duque, Julia Phillips, Rob PLoS One Research Article Allosteric transcription factors undergo binding events at inducer binding sites as well as at distinct DNA binding domains, and it is difficult to disentangle the structural and functional consequences of these two classes of interactions. We compare the ability of two statistical mechanical models—the Monod-Wyman-Changeux (MWC) and the Koshland-Némethy-Filmer (KNF) models of protein conformational change—to characterize the multi-step activation mechanism of the broadly acting cyclic-AMP receptor protein (CRP). We first consider the allosteric transition resulting from cyclic-AMP binding to CRP, then analyze how CRP binds to its operator, and finally investigate the ability of CRP to activate gene expression. We use these models to examine a beautiful recent experiment that created a single-chain version of the CRP homodimer, creating six mutants using all possible combinations of the wild type, D53H, and S62F subunits. We demonstrate that the MWC model can explain the behavior of all six mutants using a small, self-consistent set of parameters whose complexity scales with the number of subunits, providing a significant benefit over previous models. In comparison, the KNF model not only leads to a poorer characterization of the available data but also fails to generate parameter values in line with the available structural knowledge of CRP. In addition, we discuss how the conceptual framework developed here for CRP enables us to not merely analyze data retrospectively, but has the predictive power to determine how combinations of mutations will interact, how double mutants will behave, and how each construct would regulate gene expression. Public Library of Science 2018-09-26 /pmc/articles/PMC6157895/ /pubmed/30256816 http://dx.doi.org/10.1371/journal.pone.0204275 Text en © 2018 Einav et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Einav, Tal
Duque, Julia
Phillips, Rob
Theoretical analysis of inducer and operator binding for cyclic-AMP receptor protein mutants
title Theoretical analysis of inducer and operator binding for cyclic-AMP receptor protein mutants
title_full Theoretical analysis of inducer and operator binding for cyclic-AMP receptor protein mutants
title_fullStr Theoretical analysis of inducer and operator binding for cyclic-AMP receptor protein mutants
title_full_unstemmed Theoretical analysis of inducer and operator binding for cyclic-AMP receptor protein mutants
title_short Theoretical analysis of inducer and operator binding for cyclic-AMP receptor protein mutants
title_sort theoretical analysis of inducer and operator binding for cyclic-amp receptor protein mutants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157895/
https://www.ncbi.nlm.nih.gov/pubmed/30256816
http://dx.doi.org/10.1371/journal.pone.0204275
work_keys_str_mv AT einavtal theoreticalanalysisofinducerandoperatorbindingforcyclicampreceptorproteinmutants
AT duquejulia theoreticalanalysisofinducerandoperatorbindingforcyclicampreceptorproteinmutants
AT phillipsrob theoreticalanalysisofinducerandoperatorbindingforcyclicampreceptorproteinmutants