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使用MWC模型描述血红蛋白中的异促相互作用。

Using the MWC model to describe heterotropic interactions in hemoglobin.

作者信息

Rapp Olga, Yifrach Ofer

机构信息

Department of Life Sciences and the Zlotowski Center for Neurosciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.

出版信息

PLoS One. 2017 Aug 9;12(8):e0182871. doi: 10.1371/journal.pone.0182871. eCollection 2017.

DOI:10.1371/journal.pone.0182871
PMID:28793329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5549968/
Abstract

Hemoglobin is a classical model allosteric protein. Research on hemoglobin parallels the development of key cooperativity and allostery concepts, such as the 'all-or-none' Hill formalism, the stepwise Adair binding formulation and the concerted Monod-Wymann-Changuex (MWC) allosteric model. While it is clear that the MWC model adequately describes the cooperative binding of oxygen to hemoglobin, rationalizing the effects of H+, CO2 or organophosphate ligands on hemoglobin-oxygen saturation using the same model remains controversial. According to the MWC model, allosteric ligands exert their effect on protein function by modulating the quaternary conformational transition of the protein. However, data fitting analysis of hemoglobin oxygen saturation curves in the presence or absence of inhibitory ligands persistently revealed effects on both relative oxygen affinity (c) and conformational changes (L), elementary MWC parameters. The recent realization that data fitting analysis using the traditional MWC model equation may not provide reliable estimates for L and c thus calls for a re-examination of previous data using alternative fitting strategies. In the current manuscript, we present two simple strategies for obtaining reliable estimates for MWC mechanistic parameters of hemoglobin steady-state saturation curves in cases of both evolutionary and physiological variations. Our results suggest that the simple MWC model provides a reasonable description that can also account for heterotropic interactions in hemoglobin. The results, moreover, offer a general roadmap for successful data fitting analysis using the MWC model.

摘要

血红蛋白是一种典型的变构蛋白模型。对血红蛋白的研究与关键的协同性和变构概念的发展并行,比如“全或无”的希尔方程、逐步的阿代尔结合公式以及协同的莫诺-怀曼-尚热克斯(MWC)变构模型。虽然很明显MWC模型能够充分描述氧气与血红蛋白的协同结合,但使用同一模型来解释H⁺、CO₂或有机磷酸酯配体对血红蛋白-氧饱和度的影响仍存在争议。根据MWC模型,变构配体通过调节蛋白质的四级构象转变来发挥其对蛋白质功能的作用。然而,对存在或不存在抑制性配体时血红蛋白氧饱和度曲线的数据拟合分析持续显示出对相对氧亲和力(c)和构象变化(L)这两个基本MWC参数都有影响。最近认识到使用传统MWC模型方程进行数据拟合分析可能无法为L和c提供可靠估计,因此需要使用替代拟合策略重新审视以前的数据。在当前的手稿中,我们提出了两种简单策略,用于在进化和生理变化的情况下获得血红蛋白稳态饱和度曲线的MWC机制参数的可靠估计。我们的结果表明,简单的MWC模型提供了一个合理的描述,也能够解释血红蛋白中的异源相互作用。此外,这些结果为使用MWC模型进行成功的数据拟合分析提供了一个通用路线图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71aa/5549968/860ed868d766/pone.0182871.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71aa/5549968/30cc8edd4dd2/pone.0182871.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71aa/5549968/ac7beb7dfe5c/pone.0182871.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71aa/5549968/860ed868d766/pone.0182871.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71aa/5549968/30cc8edd4dd2/pone.0182871.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71aa/5549968/ac7beb7dfe5c/pone.0182871.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71aa/5549968/860ed868d766/pone.0182871.g003.jpg

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