• 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

c-Src激酶激活的转变路径理论分析

Transition path theory analysis of c-Src kinase activation.

作者信息

Meng Yilin, Shukla Diwakar, Pande Vijay S, Roux Benoît

机构信息

Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637;

Department of Chemistry, Stanford University, Stanford, CA 94305; Simulation of Biological Structures NIH Center for Biomedical Computation, Stanford University, Stanford, CA 94305.

出版信息

Proc Natl Acad Sci U S A. 2016 Aug 16;113(33):9193-8. doi: 10.1073/pnas.1602790113. Epub 2016 Aug 1.

DOI:10.1073/pnas.1602790113
PMID:27482115
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4995974/
Abstract

Nonreceptor tyrosine kinases of the Src family are large multidomain allosteric proteins that are crucial to cellular signaling pathways. In a previous study, we generated a Markov state model (MSM) to simulate the activation of c-Src catalytic domain, used as a prototypical tyrosine kinase. The long-time kinetics of transition predicted by the MSM was in agreement with experimental observations. In the present study, we apply the framework of transition path theory (TPT) to the previously constructed MSM to characterize the main features of the activation pathway. The analysis indicates that the activating transition, in which the activation loop first opens up followed by an inward rotation of the αC-helix, takes place via a dense set of intermediate microstates distributed within a fairly broad "transition tube" in a multidimensional conformational subspace connecting the two end-point conformations. Multiple microstates with negligible equilibrium probabilities carry a large transition flux associated with the activating transition, which explains why extensive conformational sampling is necessary to accurately determine the kinetics of activation. Our results suggest that the combination of MSM with TPT provides an effective framework to represent conformational transitions in complex biomolecular systems.

摘要

Src家族的非受体酪氨酸激酶是大型多结构域变构蛋白,对细胞信号通路至关重要。在先前的一项研究中,我们生成了一个马尔可夫状态模型(MSM)来模拟作为典型酪氨酸激酶的c-Src催化结构域的激活。MSM预测的长时间跃迁动力学与实验观察结果一致。在本研究中,我们将跃迁路径理论(TPT)框架应用于先前构建的MSM,以表征激活途径的主要特征。分析表明,激活跃迁过程中,激活环首先打开,随后αC螺旋向内旋转,这一过程通过分布在连接两个端点构象的多维构象子空间中相当宽的“跃迁管”内的一组密集中间微状态发生。具有可忽略平衡概率的多个微状态携带与激活跃迁相关的大量跃迁通量,这解释了为什么需要进行广泛的构象采样才能准确确定激活动力学。我们的结果表明,MSM与TPT的结合为表示复杂生物分子系统中的构象转变提供了一个有效的框架。

相似文献

1
Transition path theory analysis of c-Src kinase activation.c-Src激酶激活的转变路径理论分析
Proc Natl Acad Sci U S A. 2016 Aug 16;113(33):9193-8. doi: 10.1073/pnas.1602790113. Epub 2016 Aug 1.
2
Src kinase conformational activation: thermodynamics, pathways, and mechanisms.Src激酶的构象激活:热力学、途径及机制
PLoS Comput Biol. 2008 Mar 28;4(3):e1000047. doi: 10.1371/journal.pcbi.1000047.
3
Csk αC Helix: A Computational Analysis of an Essential Region for Conformational Transitions.Cskα螺旋:构象转变关键区域的计算分析
J Phys Chem B. 2022 Dec 22;126(50):10587-10596. doi: 10.1021/acs.jpcb.2c05408. Epub 2022 Dec 13.
4
Tyrosine Kinase Activation and Conformational Flexibility: Lessons from Src-Family Tyrosine Kinases.酪氨酸激酶激活与构象柔性:Src 家族酪氨酸激酶的启示。
Acc Chem Res. 2017 May 16;50(5):1193-1201. doi: 10.1021/acs.accounts.7b00012. Epub 2017 Apr 20.
5
Atomistic view of the conformational activation of Src kinase using the string method with swarms-of-trajectories.使用带轨迹群的弦方法对Src激酶构象激活的原子水平视图。
Biophys J. 2009 Aug 19;97(4):L8-L10. doi: 10.1016/j.bpj.2009.06.016.
6
The Activation of c-Src Tyrosine Kinase: Conformational Transition Pathway and Free Energy Landscape.c-Src 酪氨酸激酶的激活:构象转变途径和自由能景观。
J Phys Chem B. 2017 Apr 20;121(15):3352-3363. doi: 10.1021/acs.jpcb.6b08409. Epub 2016 Oct 28.
7
All-atom adaptively biased path optimization of Src kinase conformational inactivation: Switched electrostatic network in the concerted motion of αC helix and the activation loop.Src 激酶构象失活的全原子自适应偏置路径优化:αC 螺旋和激活环协同运动中的切换静电网络。
J Chem Phys. 2020 Nov 7;153(17):175101. doi: 10.1063/5.0021603.
8
Network approach of the conformational change of c-Src, a tyrosine kinase, by molecular dynamics simulation.通过分子动力学模拟研究酪氨酸激酶 c-Src 的构象变化的网络方法。
Sci Rep. 2018 Apr 4;8(1):5673. doi: 10.1038/s41598-018-23964-5.
9
Mapping the conformational transition in Src activation by cumulating the information from multiple molecular dynamics trajectories.通过累积来自多个分子动力学轨迹的信息来绘制Src激活过程中的构象转变。
Proc Natl Acad Sci U S A. 2009 Mar 10;106(10):3776-81. doi: 10.1073/pnas.0808261106. Epub 2009 Feb 18.
10
Activation pathway of Src kinase reveals intermediate states as targets for drug design.Src激酶的激活途径揭示了作为药物设计靶点的中间状态。
Nat Commun. 2014 Mar 3;5:3397. doi: 10.1038/ncomms4397.

引用本文的文献

1
Cyclopamine modulates smoothened receptor activity in a binding position dependent manner.环巴胺以依赖结合位置的方式调节 smoothened 受体活性。
Commun Biol. 2024 Sep 28;7(1):1207. doi: 10.1038/s42003-024-06906-y.
2
Unveiling Allosteric Regulation and Binding Mechanism of BRD9 through Molecular Dynamics Simulations and Markov Modeling.通过分子动力学模拟和马尔可夫建模揭示 BRD9 的别构调节和结合机制。
Molecules. 2024 Jul 25;29(15):3496. doi: 10.3390/molecules29153496.
3
Identification of a Cryptic Pocket in Methionine Aminopeptidase-II Using Adaptive Bandit Molecular Dynamics Simulations and Markov State Models.利用自适应策略分子动力学模拟和马尔可夫状态模型鉴定甲硫氨酸氨肽酶-II中的一个隐蔽口袋。
ACS Omega. 2024 Jun 18;9(26):28534-28545. doi: 10.1021/acsomega.4c02516. eCollection 2024 Jul 2.
4
Binding Position Dependent Modulation of Smoothened Activity by Cyclopamine.环杷明对Smoothened活性的结合位置依赖性调节
bioRxiv. 2024 Feb 12:2024.02.08.579369. doi: 10.1101/2024.02.08.579369.
5
sciCSR infers B cell state transition and predicts class-switch recombination dynamics using single-cell transcriptomic data.sciCSR 利用单细胞转录组数据推断 B 细胞状态转变并预测类别转换重组动力学。
Nat Methods. 2024 May;21(5):823-834. doi: 10.1038/s41592-023-02060-1. Epub 2023 Nov 6.
6
Molecular Dynamics Simulations Combined with Markov Model to Explore the Effect of Allosteric Inhibitor Binding on Bromodomain-Containing Protein 4.分子动力学模拟结合马尔可夫模型探索变构抑制剂结合对包含溴结构域蛋白 4 的影响。
Int J Mol Sci. 2023 Jun 29;24(13):10831. doi: 10.3390/ijms241310831.
7
Inexact iterative numerical linear algebra for neural network-based spectral estimation and rare-event prediction.基于神经网络的谱估计和稀有事件预测的不精确迭代数值线性代数。
J Chem Phys. 2023 Jul 7;159(1). doi: 10.1063/5.0151309.
8
An Efficient Path Classification Algorithm Based on Variational Autoencoder to Identify Metastable Path Channels for Complex Conformational Changes.一种基于变分自编码器的高效路径分类算法,用于识别复杂构象变化的亚稳路径通道。
J Chem Theory Comput. 2023 Jul 25;19(14):4728-4742. doi: 10.1021/acs.jctc.3c00318. Epub 2023 Jun 29.
9
TYROSINE KINASES: COMPLEX MOLECULAR SYSTEMS CHALLENGING COMPUTATIONAL METHODOLOGIES.酪氨酸激酶:挑战计算方法的复杂分子系统
Eur Phys J B. 2021 Oct;94(10). doi: 10.1140/epjb/s10051-021-00207-7. Epub 2021 Oct 11.
10
Allosteric regulation of autoinhibition and activation of c-Abl.c-Abl自抑制与激活的变构调节
Comput Struct Biotechnol J. 2022 Aug 11;20:4257-4270. doi: 10.1016/j.csbj.2022.08.014. eCollection 2022.

本文引用的文献

1
Statistically optimal analysis of state-discretized trajectory data from multiple thermodynamic states.来自多个热力学状态的状态离散轨迹数据的统计最优分析。
J Chem Phys. 2014 Dec 7;141(21):214106. doi: 10.1063/1.4902240.
2
Using Markov state models to develop a mechanistic understanding of protein kinase A regulatory subunit RIα activation in response to cAMP binding.利用马尔可夫状态模型深入理解蛋白激酶A调节亚基RIα对环磷酸腺苷(cAMP)结合的激活机制。
J Biol Chem. 2014 Oct 24;289(43):30040-51. doi: 10.1074/jbc.M114.568907. Epub 2014 Sep 8.
3
ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software.ForceAtlas2,一种为Gephi软件设计的用于便捷网络可视化的连续图布局算法。
PLoS One. 2014 Jun 10;9(6):e98679. doi: 10.1371/journal.pone.0098679. eCollection 2014.
4
All-atom empirical potential for molecular modeling and dynamics studies of proteins.蛋白质分子建模和动力学研究的全原子经验势。
J Phys Chem B. 1998 Apr 30;102(18):3586-616. doi: 10.1021/jp973084f.
5
Markov state models of biomolecular conformational dynamics.生物分子构象动力学的马尔可夫状态模型。
Curr Opin Struct Biol. 2014 Apr;25:135-44. doi: 10.1016/j.sbi.2014.04.002. Epub 2014 May 16.
6
Activation pathway of Src kinase reveals intermediate states as targets for drug design.Src激酶的激活途径揭示了作为药物设计靶点的中间状态。
Nat Commun. 2014 Mar 3;5:3397. doi: 10.1038/ncomms4397.
7
Eppur si muove! The 2013 Nobel Prize in Chemistry.埃磅虽动!2013 年诺贝尔化学奖。
Structure. 2013 Dec 3;21(12):2102-5. doi: 10.1016/j.str.2013.11.005.
8
Understanding protein folding using Markov state models.使用马尔可夫状态模型理解蛋白质折叠。
Adv Exp Med Biol. 2014;797:101-6. doi: 10.1007/978-94-007-7606-7_8.
9
Transition path theory.转型路径理论
Adv Exp Med Biol. 2014;797:91-100. doi: 10.1007/978-94-007-7606-7_7.
10
To milliseconds and beyond: challenges in the simulation of protein folding.从毫秒到更远:蛋白质折叠模拟中的挑战。
Curr Opin Struct Biol. 2013 Feb;23(1):58-65. doi: 10.1016/j.sbi.2012.11.002. Epub 2012 Dec 10.