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Ensemble-function relationships to dissect mechanisms of enzyme catalysis

Decades of structure-function studies have established our current extensive understanding of enzymes. However, traditional structural models are snapshots of broader conformational ensembles of interchanging states. We demonstrate the need for conformational ensembles to understand function, using...

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Autores principales: Yabukarski, Filip, Doukov, Tzanko, Pinney, Margaux M., Biel, Justin T., Fraser, James S., Herschlag, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565801/
https://www.ncbi.nlm.nih.gov/pubmed/36240280
http://dx.doi.org/10.1126/sciadv.abn7738
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author Yabukarski, Filip
Doukov, Tzanko
Pinney, Margaux M.
Biel, Justin T.
Fraser, James S.
Herschlag, Daniel
author_facet Yabukarski, Filip
Doukov, Tzanko
Pinney, Margaux M.
Biel, Justin T.
Fraser, James S.
Herschlag, Daniel
author_sort Yabukarski, Filip
collection PubMed
description Decades of structure-function studies have established our current extensive understanding of enzymes. However, traditional structural models are snapshots of broader conformational ensembles of interchanging states. We demonstrate the need for conformational ensembles to understand function, using the enzyme ketosteroid isomerase (KSI) as an example. Comparison of prior KSI cryogenic x-ray structures suggested deleterious mutational effects from a misaligned oxyanion hole catalytic residue. However, ensemble information from room-temperature x-ray crystallography, combined with functional studies, excluded this model. Ensemble-function analyses can deconvolute effects from altering the probability of occupying a state (P-effects) and changing the reactivity of each state (k-effects); our ensemble-function analyses revealed functional effects arising from weakened oxyanion hole hydrogen bonding and substrate repositioning within the active site. Ensemble-function studies will have an integral role in understanding enzymes and in meeting the future goals of a predictive understanding of enzyme catalysis and engineering new enzymes.
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spelling pubmed-95658012022-10-24 Ensemble-function relationships to dissect mechanisms of enzyme catalysis Yabukarski, Filip Doukov, Tzanko Pinney, Margaux M. Biel, Justin T. Fraser, James S. Herschlag, Daniel Sci Adv Biomedicine and Life Sciences Decades of structure-function studies have established our current extensive understanding of enzymes. However, traditional structural models are snapshots of broader conformational ensembles of interchanging states. We demonstrate the need for conformational ensembles to understand function, using the enzyme ketosteroid isomerase (KSI) as an example. Comparison of prior KSI cryogenic x-ray structures suggested deleterious mutational effects from a misaligned oxyanion hole catalytic residue. However, ensemble information from room-temperature x-ray crystallography, combined with functional studies, excluded this model. Ensemble-function analyses can deconvolute effects from altering the probability of occupying a state (P-effects) and changing the reactivity of each state (k-effects); our ensemble-function analyses revealed functional effects arising from weakened oxyanion hole hydrogen bonding and substrate repositioning within the active site. Ensemble-function studies will have an integral role in understanding enzymes and in meeting the future goals of a predictive understanding of enzyme catalysis and engineering new enzymes. American Association for the Advancement of Science 2022-10-14 /pmc/articles/PMC9565801/ /pubmed/36240280 http://dx.doi.org/10.1126/sciadv.abn7738 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Biomedicine and Life Sciences
Yabukarski, Filip
Doukov, Tzanko
Pinney, Margaux M.
Biel, Justin T.
Fraser, James S.
Herschlag, Daniel
Ensemble-function relationships to dissect mechanisms of enzyme catalysis
title Ensemble-function relationships to dissect mechanisms of enzyme catalysis
title_full Ensemble-function relationships to dissect mechanisms of enzyme catalysis
title_fullStr Ensemble-function relationships to dissect mechanisms of enzyme catalysis
title_full_unstemmed Ensemble-function relationships to dissect mechanisms of enzyme catalysis
title_short Ensemble-function relationships to dissect mechanisms of enzyme catalysis
title_sort ensemble-function relationships to dissect mechanisms of enzyme catalysis
topic Biomedicine and Life Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565801/
https://www.ncbi.nlm.nih.gov/pubmed/36240280
http://dx.doi.org/10.1126/sciadv.abn7738
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