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表面的 ProA、Mip 和其他分泌毒力因子的蛋白质社会学。

Protein sociology of ProA, Mip and other secreted virulence factors at the surface.

机构信息

Institut für Mikrobiologie, Technische Universität Braunschweig, Braunschweig, Germany.

Computational Biology & Simulation, Technische Universität Darmstadt, Darmstadt, Germany.

出版信息

Front Cell Infect Microbiol. 2023 Mar 2;13:1140688. doi: 10.3389/fcimb.2023.1140688. eCollection 2023.

Abstract

The pathogenicity of , the causative agent of Legionnaires' disease, depends on an arsenal of interacting proteins. Here we describe how surface-associated and secreted virulence factors of this pathogen interact with each other or target extra- and intracellular host proteins resulting in host cell manipulation and tissue colonization. Since progress of computational methods like AlphaFold, molecular dynamics simulation, and docking allows to predict, analyze and evaluate experimental proteomic and interactomic data, we describe how the combination of these approaches generated new insights into the multifaceted "protein sociology" of the zinc metalloprotease ProA and the peptidyl-prolyl isomerase Mip (macrophage infectivity potentiator). Both virulence factors of interact with numerous proteins including bacterial flagellin (FlaA) and host collagen, and play important roles in virulence regulation, host tissue degradation and immune evasion. The recent progress in protein-ligand analyses of virulence factors suggests that machine learning will also have a beneficial impact in early stages of drug discovery.

摘要

导致军团病的病原体 依赖于一整套相互作用的蛋白质。在这里,我们描述了这种病原体表面相关和分泌的毒力因子如何相互作用或针对细胞外和细胞内的宿主蛋白,导致宿主细胞操纵和组织定殖。由于像 AlphaFold、分子动力学模拟和对接这样的计算方法的进展可以预测、分析和评估实验蛋白质组学和相互作用组学数据,我们描述了如何将这些方法结合起来,深入了解锌金属蛋白酶 ProA 和肽基脯氨酰顺反异构酶 Mip(巨噬细胞感染增强因子)的多方面“蛋白质社会学”。这两种 的毒力因子都与许多蛋白质相互作用,包括细菌鞭毛蛋白 (FlaA) 和宿主胶原蛋白,并在毒力调节、宿主组织降解和免疫逃避中发挥重要作用。最近对毒力因子的蛋白配体分析的进展表明,机器学习在药物发现的早期阶段也将产生有益的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3994/10017501/b5995326b507/fcimb-13-1140688-g001.jpg

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