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MWC 变构模型解释了来自镰状细胞药物结合的异常血红蛋白-氧结合曲线。

MWC allosteric model explains unusual hemoglobin-oxygen binding curves from sickle cell drug binding.

机构信息

National Institutes of Health, Bethesda, Maryland.

National Institutes of Health, Bethesda, Maryland.

出版信息

Biophys J. 2021 Jun 15;120(12):2543-2551. doi: 10.1016/j.bpj.2021.04.024. Epub 2021 Apr 29.

Abstract

An oxygen-affinity-modifying drug, voxelotor, has very recently been approved by the FDA for treatment of sickle cell disease. The proposed mechanism of action is by preferential binding of the drug to the R quaternary conformation, which cannot copolymerize with the T conformation to form sickle fibers. Here, we report widely different oxygen dissociation and oxygen association curves for normal blood in the presence of voxelotor and interpret the results in terms of the allosteric model of Monod, Wyman, and Changeux with the addition of drug binding. The model does remarkably well in quantitatively explaining a complex data set with just the addition of drug binding and dissociation rates for the R and T conformations. Whereas slow dissociation of the drug from R results in time-independent dissociation curves, the changing association curves result from slow dissociation of the drug from T, as well as extremely slow binding of the drug to T. By calculating true equilibrium curves from the model parameters, we show that there would be a smaller decrease in oxygen delivery from the left shift in the dissociation curve caused by drug binding if drug binding and dissociation for both R and T were rapid. Our application of the Monod, Wyman, and Changeux model demonstrates once more its enormous power in explaining many different kinds of experimental results for hemoglobin. It should also be helpful in analyzing oxygen binding and in vivo delivery in future investigations of oxygen-affinity-modifying drugs for sickle cell disease.

摘要

一种氧亲和力修饰药物,沃罗特,最近已被 FDA 批准用于治疗镰状细胞病。其作用机制是药物优先与 R 四元构象结合,该构象不能与 T 构象共聚形成镰状纤维。在这里,我们报告了在存在沃罗特的情况下正常血液的氧离解和氧结合曲线有很大的不同,并根据莫诺、韦曼和查戈夫的变构模型以及药物结合的附加作用来解释结果。该模型仅通过添加 R 和 T 构象的药物结合和解离速率,就能非常好地定量解释复杂的数据集。由于药物从 R 的缓慢解离导致解离曲线与时间无关,因此结合曲线的变化是由于药物从 T 的缓慢解离以及药物与 T 的极慢结合所致。通过从模型参数计算真实平衡曲线,我们表明,如果 R 和 T 的药物结合和解离都很快,药物结合引起的解离曲线左移会导致氧输送减少得更少。我们对莫诺、韦曼和查戈夫模型的应用再次证明了它在解释血红蛋白的许多不同实验结果方面的巨大威力。它也应该有助于在未来对镰状细胞病的氧亲和力修饰药物的氧结合和体内输送进行分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa35/8390878/194f3dc108db/gr1.jpg

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