扩散动力学影响酶再激活的多位点磷酸化。

IF 3.2 4区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Biopolymers Pub Date : 2023-03-29 DOI:10.1002/bip.23533
Irina V. Gopich, Attila Szabo
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引用次数: 0

摘要

解释扩散对多位点磷酸化动力学影响的最简单方法是修改化学动力学的传统速率方程中的速率常数。我们之前已经证明,这是不够的,还必须引入反应物之间的新转变。在这里,我们通过考虑在修饰底物后不活跃并且需要时间才能再次活跃的酶来扩展我们的结果。这种概括导致了一个令人惊讶的结果。酶再激活的引入导致具有负速率常数的新转变的扩散修饰动力学方案。原因是将非马尔可夫速率方程映射到具有时间无关速率常数的马尔可夫速率方程在短时间内不是一个好的近似。然后,我们发展了一个非马尔可夫理论,该理论涉及记忆核而不是速率常数。这一理论现在在短期内有效,但使用起来更具挑战性。例如,使用具有新连接的扩散修饰动力学方案来计算磷酸化-去磷酸化循环中的双磷酸化动力学和稳态响应。我们已经再现了当酶再激活时间减少时,磷酸化-去磷酸化循环中双稳态的损失,这是通过基于粒子的计算机模拟获得的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Kinetics of diffusion-influenced multisite phosphorylation with enzyme reactivation

Kinetics of diffusion-influenced multisite phosphorylation with enzyme reactivation

Kinetics of diffusion-influenced multisite phosphorylation with enzyme reactivation

The simplest way to account for the influence of diffusion on the kinetics of multisite phosphorylation is to modify the rate constants in the conventional rate equations of chemical kinetics. We have previously shown that this is not enough and new transitions between the reactants must also be introduced. Here we extend our results by considering enzymes that are inactive after modifying the substrate and need time to become active again. This generalization leads to a surprising result. The introduction of enzyme reactivation results in a diffusion-modified kinetic scheme with a new transition that has a negative rate constant. The reason for this is that mapping non-Markovian rate equations onto Markovian ones with time-independent rate constants is not a good approximation at short times. We then developed a non-Markovian theory that involves memory kernels instead of rate constants. This theory is now valid at short times, but is more challenging to use. As an example, the diffusion-modified kinetic scheme with new connections was used to calculate kinetics of double phosphorylation and steady-state response in a phosphorylation-dephosphorylation cycle. We have reproduced the loss of bistability in the phosphorylation-dephosphorylation cycle when the enzyme reactivation time decreases, which was obtained by particle-based computer simulations.

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来源期刊
Biopolymers
Biopolymers 生物-生化与分子生物学
CiteScore
5.30
自引率
0.00%
发文量
48
审稿时长
3 months
期刊介绍: Founded in 1963, Biopolymers publishes strictly peer-reviewed papers examining naturally occurring and synthetic biological macromolecules. By including experimental and theoretical studies on the fundamental behaviour as well as applications of biopolymers, the journal serves the interdisciplinary biochemical, biophysical, biomaterials and biomedical research communities.
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