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增强遭遇复合物的丰度会影响蛋白质复合物的形成效率。

Enhancing the population of the encounter complex affects protein complex formation efficiency.

机构信息

Institute of Chemistry, Leiden University, The Netherlands.

Computational Biochemistry, University of Bayreuth, Germany.

出版信息

FEBS J. 2022 Jan;289(2):535-548. doi: 10.1111/febs.16159. Epub 2021 Sep 13.

DOI:10.1111/febs.16159
PMID:34403572
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9293183/
Abstract

Optimal charge distribution is considered to be important for efficient formation of protein complexes. Electrostatic interactions guide encounter complex formation that precedes the formation of an active protein complex. However, disturbing the optimized distribution by introduction of extra charged patches on cytochrome c peroxidase does not lead to a reduction in productive encounters with its partner cytochrome c. To test whether a complex with a high population of encounter complex is more easily affected by suboptimal charge distribution, the interactions of cytochrome c mutant R13A with wild-type cytochrome c peroxidase and a variant with an additional negative patch were studied. The complex of the peroxidase and cytochrome c R13A was reported to have an encounter state population of 80%, compared to 30% for the wild-type cytochrome c. NMR analysis confirms the dynamic nature of the interaction and demonstrates that the mutant cytochrome c samples the introduced negative patch. Kinetic experiments show that productive complex formation is fivefold to sevenfold slower at moderate and high ionic strength values for cytochrome c R13A but the association rate is not affected by the additional negative patch on cytochrome c peroxidase, showing that the total charge on the protein surface can compensate for less optimal charge distribution. At low ionic strength (44 mm), the association with the mutant cytochrome c reaches the same high rates as found for wild-type cytochrome c, approaching the diffusion limit.

摘要

最佳电荷分布被认为对于高效形成蛋白质复合物很重要。静电相互作用指导了在形成活性蛋白质复合物之前的复合物形成的遭遇。然而,在细胞色素 c 过氧化物酶上引入额外的带电荷斑块并不会导致与伴侣细胞色素 c 的有效遭遇减少,从而破坏了优化的分布。为了测试具有高遭遇复合物的复合物是否更容易受到次优电荷分布的影响,研究了细胞色素 c 突变体 R13A 与野生型细胞色素 c 过氧化物酶以及带有额外负电荷斑块的变体的相互作用。据报道,过氧化物酶与细胞色素 c R13A 的复合物的遭遇状态群体为 80%,而野生型细胞色素 c 的遭遇状态群体为 30%。NMR 分析证实了相互作用的动态性质,并表明突变细胞色素 c 采样了引入的负电荷斑块。动力学实验表明,在中等和高离子强度值下,细胞色素 c R13A 的有效复合物形成速度慢五倍至七倍,但细胞色素 c 过氧化物酶上的额外负电荷斑块不会影响缔合速率,表明蛋白质表面的总电荷可以补偿次优电荷分布。在低离子强度(44 mM)下,与突变细胞色素 c 的缔合速度达到与野生型细胞色素 c 相同的高速度,接近扩散限制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/4430e2fb928f/FEBS-289-535-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/03f6cc60fbe2/FEBS-289-535-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/0805937879b5/FEBS-289-535-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/f97b0773c348/FEBS-289-535-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/46df88dab841/FEBS-289-535-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/2f4e9d72ad3b/FEBS-289-535-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/4430e2fb928f/FEBS-289-535-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/03f6cc60fbe2/FEBS-289-535-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/0805937879b5/FEBS-289-535-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/f97b0773c348/FEBS-289-535-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/46df88dab841/FEBS-289-535-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/2f4e9d72ad3b/FEBS-289-535-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cf1/9293183/4430e2fb928f/FEBS-289-535-g005.jpg

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本文引用的文献

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Biochemistry. 2021 Mar 16;60(10):747-755. doi: 10.1021/acs.biochem.1c00021. Epub 2021 Mar 1.
2
Efficient Encounter Complex Formation and Electron Transfer to Cytochrome c Peroxidase with an Additional, Distant Electrostatic Binding Site.通过增加一个额外的、远距离静电结合位点,实现了高效的酶促复合物形成和向细胞色素 c 过氧化物酶的电子转移。
Angew Chem Int Ed Engl. 2020 Dec 14;59(51):23239-23243. doi: 10.1002/anie.202010006. Epub 2020 Oct 13.
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Electrostatic interactions in molecular recognition of intrinsically disordered proteins.
分子识别中无规卷曲蛋白质的静电相互作用。
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MCMap-A Computational Tool for Mapping Energy Landscapes of Transient Protein-Protein Interactions.MCMap:一种用于绘制瞬时蛋白质-蛋白质相互作用能量景观的计算工具。
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Facilitated Protein Association via Engineered Target Search Pathways Visualized by Paramagnetic NMR Spectroscopy.通过顺磁 NMR 光谱可视化的工程化靶标搜索途径促进蛋白质缔合。
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Electrostatic Interactions in Protein Structure, Folding, Binding, and Condensation.静电相互作用在蛋白质结构、折叠、结合和凝聚中的作用。
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