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本文引用的文献

1
Design of novel cyanovirin-N variants by modulation of binding dynamics through distal mutations.通过改变远端突变来调节结合动力学设计新型氰基病毒 N 变体。
Elife. 2022 Dec 6;11:e67474. doi: 10.7554/eLife.67474.
2
Investigating the allosteric response of the PICK1 PDZ domain to different ligands with all-atom simulations.运用全原子模拟技术研究 PICK1 PDZ 结构域对不同配体的别构响应。
Protein Sci. 2022 Dec;31(12):e4474. doi: 10.1002/pro.4474.
3
Dynamic coupling of residues within proteins as a mechanistic foundation of many enigmatic pathogenic missense variants.蛋白质内部残基的动态耦合作为许多神秘致病性错义变体的机制基础。
PLoS Comput Biol. 2022 Apr 7;18(4):e1010006. doi: 10.1371/journal.pcbi.1010006. eCollection 2022 Apr.
4
Structurally distributed surface sites tune allosteric regulation.结构分布的表面位点调节变构调节。
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5
The Role of Rigid Residues in Modulating TEM-1 β-Lactamase Function and Thermostability.刚性残基在调节 TEM-1 β-内酰胺酶功能和热稳定性中的作用。
Int J Mol Sci. 2021 Mar 12;22(6):2895. doi: 10.3390/ijms22062895.
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Hinge-shift mechanism as a protein design principle for the evolution of β-lactamases from substrate promiscuity to specificity.铰链移位机制作为一种蛋白质设计原则,可促使β-内酰胺酶从底物的混杂性向特异性进化。
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7
Protein folding stability and binding interactions through the lens of evolution: a dynamical perspective.从进化的角度看蛋白质折叠稳定性和结合相互作用:动态视角。
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8
Allostery and Epistasis: Emergent Properties of Anisotropic Networks.变构与上位效应:各向异性网络的涌现特性
Entropy (Basel). 2020 Jun 16;22(6):667. doi: 10.3390/e22060667.
9
Substitutions at Nonconserved Rheostat Positions Modulate Function by Rewiring Long-Range, Dynamic Interactions.非保守变阻器位置的替换通过重新连接远程动态相互作用来调节功能。
Mol Biol Evol. 2021 Jan 4;38(1):201-214. doi: 10.1093/molbev/msaa202.
10
Altered expression of a quality control protease in reshapes the in vivo mutational landscape of a model enzyme.一种质量控制蛋白酶的表达改变重塑了模型酶体内的突变景观。
Elife. 2020 Jul 23;9:e53476. doi: 10.7554/eLife.53476.

变构调节控制在二氢叶酸还原酶中是通过动态不对称性揭示的。

Allosteric regulatory control in dihydrofolate reductase is revealed by dynamic asymmetry.

机构信息

Center for Biological Physics and Department of Physics, Arizona State University, Tempe, Arizona, USA.

School of Molecular Sciences and The Biodesign Center for Molecular Design and Biomimetics, Arizona State University, Tempe, Arizona, USA.

出版信息

Protein Sci. 2023 Aug;32(8):e4700. doi: 10.1002/pro.4700.

DOI:10.1002/pro.4700
PMID:37313628
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10357497/
Abstract

We investigated the relationship between mutations and dynamics in Escherichia coli dihydrofolate reductase (DHFR) using computational methods. Our study focused on the M20 and FG loops, which are known to be functionally important and affected by mutations distal to the loops. We used molecular dynamics simulations and developed position-specific metrics, including the dynamic flexibility index (DFI) and dynamic coupling index (DCI), to analyze the dynamics of wild-type DHFR and compared our results with existing deep mutational scanning data. Our analysis showed a statistically significant association between DFI and mutational tolerance of the DHFR positions, indicating that DFI can predict functionally beneficial or detrimental substitutions. We also applied an asymmetric version of our DCI metric (DCI ) to DHFR and found that certain distal residues control the dynamics of the M20 and FG loops, whereas others are controlled by them. Residues that are suggested to control the M20 and FG loops by our DCI metric are evolutionarily nonconserved; mutations at these sites can enhance enzyme activity. On the other hand, residues controlled by the loops are mostly deleterious to function when mutated and are also evolutionary conserved. Our results suggest that dynamics-based metrics can identify residues that explain the relationship between mutation and protein function or can be targeted to rationally engineer enzymes with enhanced activity.

摘要

我们使用计算方法研究了大肠杆菌二氢叶酸还原酶 (DHFR) 中的突变与动力学之间的关系。我们的研究集中在 M20 和 FG 环上,这些区域已知在功能上很重要,并且受环外突变的影响。我们使用分子动力学模拟并开发了位置特异性指标,包括动态灵活性指数 (DFI) 和动态耦合指数 (DCI),以分析野生型 DHFR 的动力学,并将我们的结果与现有的深度突变扫描数据进行比较。我们的分析表明 DFI 与 DHFR 位置的突变耐受性之间存在统计学上显著的关联,表明 DFI 可以预测功能有益或有害的取代。我们还将我们的 DCI 指标的不对称版本 (DCI ) 应用于 DHFR,并发现某些远端残基控制着 M20 和 FG 环的动力学,而其他残基则受它们控制。我们的 DCI 指标提示控制 M20 和 FG 环的残基在进化上是非保守的;这些位点的突变可以增强酶活性。另一方面,当突变时,由环控制的残基对功能大多是有害的,并且在进化上也是保守的。我们的结果表明,基于动力学的指标可以识别出解释突变与蛋白质功能之间关系的残基,或者可以针对具有增强活性的理性工程酶进行靶向。