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Allosteric Signaling in PDZ Energetic Networks: Embedding Error Analysis

[Image: see text] Allosteric signaling in proteins has been known for some half a century, yet how the signal traverses the protein remains an active area of research. Recently, the importance of electrostatics to achieve long-range signaling has become increasingly appreciated. Our laboratory has b...

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Autores principales: Cowan, Benjamin S., Beveridge, David L., Thayer, Kelly M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884075/
https://www.ncbi.nlm.nih.gov/pubmed/36626697
http://dx.doi.org/10.1021/acs.jpcb.2c06546
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author Cowan, Benjamin S.
Beveridge, David L.
Thayer, Kelly M.
author_facet Cowan, Benjamin S.
Beveridge, David L.
Thayer, Kelly M.
author_sort Cowan, Benjamin S.
collection PubMed
description [Image: see text] Allosteric signaling in proteins has been known for some half a century, yet how the signal traverses the protein remains an active area of research. Recently, the importance of electrostatics to achieve long-range signaling has become increasingly appreciated. Our laboratory has been working on developing network approaches to capture such interactions. In this study, we turn our attention to the well-studied allosteric model protein, PDZ. We study the allosteric dynamics on a per-residue basis in key constructs involving the PDZ domain, its allosteric effector, and its peptide ligand. We utilize molecular dynamics trajectories to create the networks for the constructs to explore the allosteric effect by plotting the heat kernel results onto axes defined by principal components. We introduce a new metric to quantitate the volume sampled by a residue in the latent space. We relate our findings to PDZ and the greater field of allostery.
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spelling pubmed-98840752023-01-29 Allosteric Signaling in PDZ Energetic Networks: Embedding Error Analysis Cowan, Benjamin S. Beveridge, David L. Thayer, Kelly M. J Phys Chem B [Image: see text] Allosteric signaling in proteins has been known for some half a century, yet how the signal traverses the protein remains an active area of research. Recently, the importance of electrostatics to achieve long-range signaling has become increasingly appreciated. Our laboratory has been working on developing network approaches to capture such interactions. In this study, we turn our attention to the well-studied allosteric model protein, PDZ. We study the allosteric dynamics on a per-residue basis in key constructs involving the PDZ domain, its allosteric effector, and its peptide ligand. We utilize molecular dynamics trajectories to create the networks for the constructs to explore the allosteric effect by plotting the heat kernel results onto axes defined by principal components. We introduce a new metric to quantitate the volume sampled by a residue in the latent space. We relate our findings to PDZ and the greater field of allostery. American Chemical Society 2023-01-10 /pmc/articles/PMC9884075/ /pubmed/36626697 http://dx.doi.org/10.1021/acs.jpcb.2c06546 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Cowan, Benjamin S.
Beveridge, David L.
Thayer, Kelly M.
Allosteric Signaling in PDZ Energetic Networks: Embedding Error Analysis
title Allosteric Signaling in PDZ Energetic Networks: Embedding Error Analysis
title_full Allosteric Signaling in PDZ Energetic Networks: Embedding Error Analysis
title_fullStr Allosteric Signaling in PDZ Energetic Networks: Embedding Error Analysis
title_full_unstemmed Allosteric Signaling in PDZ Energetic Networks: Embedding Error Analysis
title_short Allosteric Signaling in PDZ Energetic Networks: Embedding Error Analysis
title_sort allosteric signaling in pdz energetic networks: embedding error analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884075/
https://www.ncbi.nlm.nih.gov/pubmed/36626697
http://dx.doi.org/10.1021/acs.jpcb.2c06546
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