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G 蛋白的激活是通过一种普遍存在的机制发生的。

G Protein Activation Occurs via a Largely Universal Mechanism.

机构信息

Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri 63110, United States.

Center for the Science and Engineering of Living Systems (CSELS), Washington University in St. Louis, St. Louis, Missouri 63130, United States.

出版信息

J Phys Chem B. 2024 Apr 18;128(15):3554-3562. doi: 10.1021/acs.jpcb.3c07028. Epub 2024 Apr 5.

Abstract

Understanding how signaling proteins like G proteins are allosterically activated is a long-standing challenge with significant biological and medical implications. Because it is difficult to directly observe such dynamic processes, much of our understanding is based on inferences from a limited number of static snapshots of relevant protein structures, mutagenesis data, and patterns of sequence conservation. Here, we use computer simulations to directly interrogate allosteric coupling in six G protein α-subunit isoforms covering all four G protein families. To analyze this data, we introduce automated methods for inferring allosteric networks from simulation data and assessing how allostery is conserved or diverged among related protein isoforms. We find that the allosteric networks in these six G protein α subunits are largely conserved and consist of two pathways, which we call pathway-I and pathway-II. This analysis predicts that pathway-I is generally dominant over pathway-II, which we experimentally corroborate by showing that mutations to pathway-I perturb nucleotide exchange more than mutations to pathway-II. In the future, insights into unique elements of each G protein family could inform the design of isoform-specific drugs. More broadly, our tools should also be useful for studying allostery in other proteins and assessing the extent to which this allostery is conserved in related proteins.

摘要

理解信号蛋白(如 G 蛋白)如何变构激活是一个具有重大生物学和医学意义的长期挑战。由于难以直接观察到这些动态过程,我们的大部分理解是基于对相关蛋白质结构、突变数据和序列保守模式的有限数量的静态快照的推断。在这里,我们使用计算机模拟直接研究覆盖所有四种 G 蛋白家族的六个 G 蛋白α亚基同工型中的变构偶联。为了分析这些数据,我们引入了从模拟数据推断变构网络的自动化方法,并评估变构在相关蛋白质同工型中的保守或分化程度。我们发现,这六个 G 蛋白α亚基中的变构网络在很大程度上是保守的,由两条途径组成,我们称之为途径-I 和途径-II。该分析预测,途径-I 通常比途径-II 占主导地位,我们通过实验证实了这一点,即途径-I 的突变比途径-II 的突变更能扰乱核苷酸交换。在未来,对每个 G 蛋白家族独特元素的深入了解可以为设计同工型特异性药物提供信息。更广泛地说,我们的工具也应该有助于研究其他蛋白质的变构,并评估这种变构在相关蛋白质中的保守程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfdb/11034501/adf832976466/jp3c07028_0001.jpg

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