• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

酶催化反应的分形动力学理论发展及其对生化途径设计的启示。

Development of fractal kinetic theory for enzyme-catalysed reactions and implications for the design of biochemical pathways.

作者信息

Savageau M A

机构信息

Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor 48109-0620, USA.

出版信息

Biosystems. 1998 Jun-Jul;47(1-2):9-36. doi: 10.1016/s0303-2647(98)00020-3.

DOI:10.1016/s0303-2647(98)00020-3
PMID:9715749
Abstract

Recent evidence has shown that elementary bimolecular reactions under dimensionally-restricted conditions, such as those that might occur within cells when reactions are confined to two-dimensional membranes and one-dimensional channels, do not follow traditional mass-action kinetics, but fractal kinetics. The power-law formalism, which provides the context for examining the kinetics under these conditions, is used here to examine the implications of fractal kinetics in a simple pathway of reversible reactions. Starting with elementary chemical kinetics, we proceed to characterise the equilibrium behaviour of a simple bimolecular reaction, derive a generalised set of conditions for microscopic reversibility, and develop the fractal kinetic rate law for a reversible Michaelis-Menten mechanism. Having established this fractal kinetic framework, we go on to analyse the steady-state behaviour and temporal response of a pathway characterised by both the fundamental and quasi-steady-state equations. These results are contrasted with those for the fundamental and quasi-steady-state equations based on traditional mass-action kinetics. Finally, we compare the accuracy of three local representations based on both fractal and mass-action kinetics. The results with fractal kinetics show that the equilibrium ratio is a function of the amount of material in a closed system, and that the principle of microscopic reversibility has a more general manifestation that imposes new constraints on the set of fractal kinetic orders. Fractal kinetics in a biochemical pathway allow an increase in flux to occur with less accumulation of pathway intermediates and a faster temporal response than is the case with traditional kinetics. These conclusions are obtained regardless of the level of representation considered. Thus, fractal kinetics provide a novel means to achieve important features of pathway design.

摘要

最近的证据表明,在维度受限条件下的基本双分子反应,比如当反应局限于二维膜和一维通道内时细胞中可能发生的反应,并不遵循传统的质量作用动力学,而是分形动力学。幂律形式体系为研究这些条件下的动力学提供了背景,在此用于研究分形动力学在一个简单可逆反应途径中的意义。从基本化学动力学出发,我们进而描述一个简单双分子反应的平衡行为,推导微观可逆性的一组广义条件,并为可逆米氏机制建立分形动力学速率定律。建立了这个分形动力学框架后,我们接着分析由基本方程和准稳态方程表征的一个途径的稳态行为和时间响应。这些结果与基于传统质量作用动力学的基本方程和准稳态方程的结果形成对比。最后,我们比较基于分形动力学和质量作用动力学的三种局部表示的准确性。分形动力学的结果表明,平衡比是封闭系统中物质总量的函数,并且微观可逆性原理有更一般的表现形式,这对分形动力学阶数集施加了新的约束。生化途径中的分形动力学允许通量增加,同时途径中间体的积累比传统动力学情况下更少,时间响应更快。无论考虑何种表示水平,都能得出这些结论。因此,分形动力学为实现途径设计的重要特征提供了一种新方法。

相似文献

1
Development of fractal kinetic theory for enzyme-catalysed reactions and implications for the design of biochemical pathways.酶催化反应的分形动力学理论发展及其对生化途径设计的启示。
Biosystems. 1998 Jun-Jul;47(1-2):9-36. doi: 10.1016/s0303-2647(98)00020-3.
2
Michaelis-Menten mechanism reconsidered: implications of fractal kinetics.重新审视米氏机制:分形动力学的影响
J Theor Biol. 1995 Sep 7;176(1):115-24. doi: 10.1006/jtbi.1995.0181.
3
Influence of fractal kinetics on molecular recognition.分形动力学对分子识别的影响。
J Mol Recognit. 1993 Dec;6(4):149-57. doi: 10.1002/jmr.300060403.
4
Multiple rate-determining steps for nonideal and fractal kinetics.非理想动力学和分形动力学的多个速率决定步骤。
J Phys Chem B. 2005 Feb 17;109(6):2455-60. doi: 10.1021/jp048426d.
5
Monte carlo simulations of enzyme reactions in two dimensions: fractal kinetics and spatial segregation.二维酶反应的蒙特卡罗模拟:分形动力学与空间隔离
Biophys J. 2002 Oct;83(4):1891-901. doi: 10.1016/S0006-3495(02)73953-2.
6
Multifractality in intracellular enzymatic reactions.细胞内酶促反应中的多重分形性。
J Theor Biol. 2006 May 21;240(2):209-17. doi: 10.1016/j.jtbi.2005.09.005. Epub 2005 Oct 26.
7
Fractal michaelis-menten kinetics under steady state conditions: Application to mibefradil.稳态条件下的分形米氏动力学:应用于米贝拉地尔。
Pharm Res. 2006 Dec;23(12):2760-7. doi: 10.1007/s11095-006-9090-6. Epub 2006 Oct 25.
8
The total quasi-steady-state approximation is valid for reversible enzyme kinetics.总准稳态近似法适用于可逆酶动力学。
J Theor Biol. 2004 Feb 7;226(3):303-13. doi: 10.1016/j.jtbi.2003.09.006.
9
Unravelling the impact of obstacles in diffusion and kinetics of an enzyme catalysed reaction.揭示酶催化反应扩散和动力学中障碍的影响。
Phys Chem Chem Phys. 2014 Mar 14;16(10):4492-503. doi: 10.1039/c3cp52417e.
10
The fractal architecture of cytoplasmic organization: scaling, kinetics and emergence in metabolic networks.细胞质组织的分形结构:代谢网络中的缩放、动力学与涌现
Mol Cell Biochem. 2004 Jan-Feb;256-257(1-2):169-84. doi: 10.1023/b:mcbi.0000009867.54552.09.

引用本文的文献

1
Predicting lung exposure of intramuscular niclosamide as an antiviral agent: Power-law based pharmacokinetic modeling.预测肌肉内尼氯硝唑作为抗病毒药物的肺部暴露:基于幂律的药代动力学模型。
Clin Transl Sci. 2024 May;17(5):e13833. doi: 10.1111/cts.13833.
2
Toward a fractalomic idiotype/anti-idiotypic paradigm.迈向分形组型独特型/抗独特型范式。
Bioinformation. 2022 Sep 30;18(9):730-733. doi: 10.6026/97320630018730. eCollection 2022.
3
Metabolic response to point mutations reveals principles of modulation of in vivo enzyme activity and phenotype.
代谢反应对点突变的揭示了调节体内酶活性和表型的原则。
Mol Syst Biol. 2021 Jun;17(6):e10200. doi: 10.15252/msb.202110200.
4
A model of dopamine and serotonin-kynurenine metabolism in cortisolemia: Implications for depression.皮质醇血症中的多巴胺和血清素-犬尿氨酸代谢模型:对抑郁症的影响。
PLoS Comput Biol. 2021 May 10;17(5):e1008956. doi: 10.1371/journal.pcbi.1008956. eCollection 2021 May.
5
The influence of polystyrene nanoparticles on the fractal kinetics of lactate dehydrogenase.聚苯乙烯纳米颗粒对乳酸脱氢酶分形动力学的影响。
Biochem Biophys Rep. 2020 Aug 2;23:100793. doi: 10.1016/j.bbrep.2020.100793. eCollection 2020 Sep.
6
Monte Carlo simulations in drug release.药物释放的蒙特卡罗模拟。
J Pharmacokinet Pharmacodyn. 2019 Apr;46(2):165-172. doi: 10.1007/s10928-019-09625-8. Epub 2019 Mar 18.
7
The best models of metabolism.最佳代谢模型。
Wiley Interdiscip Rev Syst Biol Med. 2017 Nov;9(6). doi: 10.1002/wsbm.1391. Epub 2017 May 19.
8
Time Hierarchies and Model Reduction in Canonical Non-linear Models.规范非线性模型中的时间层次结构与模型简化
Front Genet. 2016 Sep 21;7:166. doi: 10.3389/fgene.2016.00166. eCollection 2016.
9
Stability of Ensemble Models Predicts Productivity of Enzymatic Systems.集成模型的稳定性可预测酶系统的生产力。
PLoS Comput Biol. 2016 Mar 10;12(3):e1004800. doi: 10.1371/journal.pcbi.1004800. eCollection 2016 Mar.
10
Input-output relations in biological systems: measurement, information and the Hill equation.生物系统中的输入-输出关系:测量、信息和希尔方程。
Biol Direct. 2013 Dec 5;8:31. doi: 10.1186/1745-6150-8-31.