Department of Chemistry & Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, 13699-5820, United States.
Mol Inform. 2019 May;38(5):e1800011. doi: 10.1002/minf.201800011. Epub 2019 Jan 11.
The interactions between the tumor necrosis factor (TNF) and its receptor molecule are responsible for various signaling networks that are central to the functioning of human immune homeostasis. The present work is a computational study of certain structural aspects of this cell-signaling protein, specifically focusing on the molecular level analyses of the TNF receptor (TNF-R), guided by its crystallographic structure. We also examine the possible binding sites of the TNF onto TNF-R, and the associated interactions. The structural and conformational variations in the TNF-R and TNF bound TNF-R systems are examined in this context using molecular dynamics (MD) simulations. The time dependent variations of the dimeric TNF-R structures are compared with, and shown to be steadier than their isolated monomers. This dimeric stability is favored under acidic conditions. The results are used to further illustrate how 3D modeling and computer simulations can aid the structure-based approach to probing a ligand-receptor system.
肿瘤坏死因子 (TNF) 与其受体分子之间的相互作用负责各种信号网络,这些信号网络是人体免疫稳态功能的核心。本工作是对这种细胞信号蛋白某些结构方面的计算研究,特别是根据其晶体结构,对 TNF 受体 (TNF-R) 的分子水平分析进行了重点关注。我们还检查了 TNF 与 TNF-R 结合的可能结合位点以及相关的相互作用。在这种情况下,使用分子动力学 (MD) 模拟检查了 TNF-R 和结合 TNF 的 TNF-R 系统的结构和构象变化。比较了二聚 TNF-R 结构的时间依赖性变化,并表明它们比其分离的单体更稳定。这种二聚体稳定性在酸性条件下更为有利。这些结果用于进一步说明 3D 建模和计算机模拟如何帮助基于结构的方法探测配体-受体系统。