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蛋白质的全局铰链位点作为药物结合的靶位点。

Global hinge sites of proteins as target sites for drug binding.

机构信息

Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261.

Laufer Center for Physical and Quantitative Biology and Department of Biochemistry and Cell Biology, School of Medicine, Stony Brook University, New York, NY 11794.

出版信息

Proc Natl Acad Sci U S A. 2024 Dec 3;121(49):e2414333121. doi: 10.1073/pnas.2414333121. Epub 2024 Nov 25.

DOI:10.1073/pnas.2414333121
PMID:39585988
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11626116/
Abstract

Hinge sites of proteins play a key role in mediating conformational mechanics. Among them, those involved in the most collective modes of motion, also called global hinges, are of particular interest, as they support cooperative rearrangements that are often functional. Yet, the utility of targeting global hinges for modulating function remains to be established. We present here a systematic study of a series of proteins resolved in drug-bound forms to examine the probabilistic occurrence of spatial overlaps between hinge sites and drug-binding pockets. Our analysis reveals a high propensity of drug binding to hinge sites compared to random. Notably, one-third of currently approved drugs are colocalized with hinge sites. These mechanosensitive sites are predictable by simple models such as the Gaussian Network Model. Their targeting thus emerges as a viable strategy for developing a new class of drugs that would exploit and modulate the target proteins' intrinsic dynamics, and potentially alleviate drug-resistance when used in combination with orthosteric or allosteric drugs.

摘要

蛋白质的铰链位点在介导构象力学方面起着关键作用。其中,那些参与最集体运动模式的铰链位点,也称为全局铰链,特别有趣,因为它们支持经常具有功能的协同重排。然而,针对全局铰链来调节功能的效用仍有待确定。我们在这里提出了一项系统研究,涉及一系列以药物结合形式解析的蛋白质,以检查铰链位点和药物结合口袋之间空间重叠的概率发生情况。我们的分析表明,与随机情况相比,药物结合更倾向于铰链位点。值得注意的是,三分之一的已批准药物与铰链位点共定位。这些机械敏感位点可以通过简单的模型(如高斯网络模型)来预测。因此,针对这些位点成为开发一类新药的可行策略,这类新药将利用和调节靶蛋白的固有动力学,并在与正位或变构药物联合使用时可能缓解耐药性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/41edc5f6a49b/pnas.2414333121fig07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/f08880e70fa3/pnas.2414333121fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/e79d6943284d/pnas.2414333121fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/4d455fe32fe6/pnas.2414333121fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/aa04e7153e3d/pnas.2414333121fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/7ea7006d6a87/pnas.2414333121fig05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/e446b0ddce61/pnas.2414333121fig06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/41edc5f6a49b/pnas.2414333121fig07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/f08880e70fa3/pnas.2414333121fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/e79d6943284d/pnas.2414333121fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/4d455fe32fe6/pnas.2414333121fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/aa04e7153e3d/pnas.2414333121fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/7ea7006d6a87/pnas.2414333121fig05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/e446b0ddce61/pnas.2414333121fig06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c3e/11626116/41edc5f6a49b/pnas.2414333121fig07.jpg

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