Department of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, the United States of America.
Department of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, the United States of America.
Comput Biol Chem. 2023 Apr;103:107823. doi: 10.1016/j.compbiolchem.2023.107823. Epub 2023 Jan 19.
Proteins in the tumor necrosis factor (TNF) superfamily (TNFSF) regulate diverse cellular processes by interacting with their receptors in the TNF receptor (TNFR) superfamily (TNFRSF). Ligands and receptors in these two superfamilies form a complicated network of interactions, in which the same ligand can bind to different receptors and the same receptor can be shared by different ligands. In order to study these interactions on a systematic level, a TNFSF-TNFRSF interactome was constructed in this study by searching the database which consists of both experimentally measured and computationally predicted protein-protein interactions (PPIs). The interactome contains a total number of 194 interactions between 18 TNFSF ligands and 29 TNFRSF receptors in human. We modeled the structure for each ligand-receptor interaction in the network. Their binding affinities were further computationally estimated based on modeled structures. Our computational outputs, which are all publicly accessible, serve as a valuable addition to the currently limited experimental resources to study TNF-mediated cell signaling.
肿瘤坏死因子(TNF)超家族(TNFSF)中的蛋白质通过与 TNF 受体(TNFR)超家族(TNFRSF)中的受体相互作用来调节多种细胞过程。这两个超家族中的配体和受体形成了一个复杂的相互作用网络,其中同一配体可以与不同的受体结合,而同一受体可以被不同的配体共享。为了在系统水平上研究这些相互作用,本研究通过搜索包含实验测量和计算预测的蛋白质-蛋白质相互作用(PPIs)的数据库构建了一个 TNFSF-TNFRSF 相互作用组。该相互作用组包含了人类 18 种 TNFSF 配体和 29 种 TNFRSF 受体之间的总共 194 种相互作用。我们对网络中每个配体-受体相互作用的结构进行了建模。进一步基于建模结构计算估计了它们的结合亲和力。我们的计算结果全部公开,为目前有限的实验资源研究 TNF 介导的细胞信号提供了有价值的补充。