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The optimal docking strength for reversibly tethered kinases

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The optimal docking strength for reversibly tethered kinases. / Dyla, Mateusz; González Foutel, Nicolás S; Otzen, Daniel E et al.
I: Proceedings of the National Academy of Sciences, Bind 119, Nr. 25, e2203098119, 21.06.2022.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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APA

CBE

MLA

Dyla, Mateusz et al. "The optimal docking strength for reversibly tethered kinases". Proceedings of the National Academy of Sciences. 2022. 119(25). https://doi.org/10.1073/pnas.2203098119

Vancouver

Dyla M, González Foutel NS, Otzen DE, Kjaergaard M. The optimal docking strength for reversibly tethered kinases. Proceedings of the National Academy of Sciences. 2022 jun. 21;119(25):e2203098119. doi: 10.1073/pnas.2203098119

Author

Dyla, Mateusz ; González Foutel, Nicolás S ; Otzen, Daniel E et al. / The optimal docking strength for reversibly tethered kinases. I: Proceedings of the National Academy of Sciences. 2022 ; Bind 119, Nr. 25.

Bibtex

@article{3adf879f3de544ada7af2d8c10570934,
title = "The optimal docking strength for reversibly tethered kinases",
abstract = "Many kinases use reversible docking interactions to augment the specificity of their catalytic domains. Such docking interactions are often structurally independent of the catalytic domain, which allow for a flexible combination of modules in evolution and in bioengineering. The affinity of docking interactions spans several orders of magnitude. This led us to ask how the affinity of the docking interaction affects enzymatic activity and how to pick the optimal interaction module to complement a given substrate. Here, we develop equations that predict the optimal binding strength of a kinase docking interaction and validate it using numerical simulations and steady-state phosphorylation kinetics for tethered protein kinase A. We show that a kinase-substrate pair has an optimum docking strength that depends on their enzymatic constants, the tether architecture, the substrate concentration, and the kinetics of the docking interactions. We show that a reversible tether enhances phosphorylation rates most when 1) the docking strength is intermediate, 2) the substrate is nonoptimal, 3) the substrate concentration is low, 4) the docking interaction has rapid exchange kinetics, and 5) the tether optimizes the effective concentration of the intramolecular reaction. This work serves as a framework for interpreting mutations in kinase docking interactions and as a design guide for engineering enzyme scaffolds.",
author = "Mateusz Dyla and {Gonz{\'a}lez Foutel}, {Nicol{\'a}s S} and Otzen, {Daniel E} and Magnus Kjaergaard",
year = "2022",
month = jun,
day = "21",
doi = "10.1073/pnas.2203098119",
language = "English",
volume = "119",
journal = "Proceedings of the National Academy of Sciences",
issn = "0027-8424",
publisher = "The National Academy of Sciences of the United States of America",
number = "25",

}

RIS

TY - JOUR

T1 - The optimal docking strength for reversibly tethered kinases

AU - Dyla, Mateusz

AU - González Foutel, Nicolás S

AU - Otzen, Daniel E

AU - Kjaergaard, Magnus

PY - 2022/6/21

Y1 - 2022/6/21

N2 - Many kinases use reversible docking interactions to augment the specificity of their catalytic domains. Such docking interactions are often structurally independent of the catalytic domain, which allow for a flexible combination of modules in evolution and in bioengineering. The affinity of docking interactions spans several orders of magnitude. This led us to ask how the affinity of the docking interaction affects enzymatic activity and how to pick the optimal interaction module to complement a given substrate. Here, we develop equations that predict the optimal binding strength of a kinase docking interaction and validate it using numerical simulations and steady-state phosphorylation kinetics for tethered protein kinase A. We show that a kinase-substrate pair has an optimum docking strength that depends on their enzymatic constants, the tether architecture, the substrate concentration, and the kinetics of the docking interactions. We show that a reversible tether enhances phosphorylation rates most when 1) the docking strength is intermediate, 2) the substrate is nonoptimal, 3) the substrate concentration is low, 4) the docking interaction has rapid exchange kinetics, and 5) the tether optimizes the effective concentration of the intramolecular reaction. This work serves as a framework for interpreting mutations in kinase docking interactions and as a design guide for engineering enzyme scaffolds.

AB - Many kinases use reversible docking interactions to augment the specificity of their catalytic domains. Such docking interactions are often structurally independent of the catalytic domain, which allow for a flexible combination of modules in evolution and in bioengineering. The affinity of docking interactions spans several orders of magnitude. This led us to ask how the affinity of the docking interaction affects enzymatic activity and how to pick the optimal interaction module to complement a given substrate. Here, we develop equations that predict the optimal binding strength of a kinase docking interaction and validate it using numerical simulations and steady-state phosphorylation kinetics for tethered protein kinase A. We show that a kinase-substrate pair has an optimum docking strength that depends on their enzymatic constants, the tether architecture, the substrate concentration, and the kinetics of the docking interactions. We show that a reversible tether enhances phosphorylation rates most when 1) the docking strength is intermediate, 2) the substrate is nonoptimal, 3) the substrate concentration is low, 4) the docking interaction has rapid exchange kinetics, and 5) the tether optimizes the effective concentration of the intramolecular reaction. This work serves as a framework for interpreting mutations in kinase docking interactions and as a design guide for engineering enzyme scaffolds.

U2 - 10.1073/pnas.2203098119

DO - 10.1073/pnas.2203098119

M3 - Journal article

C2 - 35696590

VL - 119

JO - Proceedings of the National Academy of Sciences

JF - Proceedings of the National Academy of Sciences

SN - 0027-8424

IS - 25

M1 - e2203098119

ER -