结构生物信息学在理解慢性炎症性疾病中肿瘤坏死因子 α 相互作用蛋白机制中的作用:综述

Immuno Pub Date : 2024-01-15 DOI:10.3390/immuno4010002
L. Bastos, Diego C. B. Mariano, Rafael Pereira Lemos, T. Bialves, Carlo Jose Freire Oliveira, R. C. de Melo-Minardi
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引用次数: 0

摘要

肿瘤坏死因子α(TNF-α)是一种多功能细胞因子蛋白,是细胞分化、增殖和存活的重要介质。此外,TNF-α 还是宿主防御的一个重要组成部分,它通过介导炎症和免疫反应来抵御病毒、细菌、寄生虫和肿瘤等各种侵袭性病原体。然而,TNF-α的过量产生会对机体造成危害,并与多种炎症和免疫介导疾病的发生有关。因此,人们对研究它在各种疾病中的作用及其调节产生了浓厚的兴趣,无论是在体外、体内还是在硅学实验中。在这篇综述中,我们评估了公共数据库中与 TNF-α 相关的蛋白质结构。此外,我们还介绍了阻断这种细胞因子的主要抗体及其应用,并对天然产生的结合分子(如蜱产生的 TNF-α 结合蛋白)的潜力进行了评论。我们还讨论了结构生物信息学技术在理解与TNF-α相关的慢性炎症性疾病机制中的作用。我们希望这篇综述中提供的数据对旨在更好地理解TNF-α与其他蛋白质相互作用机制的研究有所帮助,并能带来新的药物或治疗方法。
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The Role of Structural Bioinformatics in Understanding Tumor Necrosis Factor α-Interacting Protein Mechanisms in Chronic Inflammatory Diseases: A Review
Tumor necrosis factor α (TNF-α) is a multifunctional cytokine protein acknowledged as a vital mediator in cell differentiation, proliferation, and survival. Additionally, TNF-α is a crucial component of the host’s defense by mediating inflammatory and immune responses against various aggressive agents, including viruses, bacteria parasites, and tumors. However, excessive production can be detrimental to the body and is also implicated in developing several inflammatory and immune-mediated disorders. Therefore, there is great interest in studying its role and its modulation, in various diseases, both in in vitro, in vivo, and in silico experiments. In this review, we evaluated the structures of proteins related to TNF-α available in public databases. In addition, we described the main antibodies blocking this cytokine and its applications and commented on the potential of naturally produced binding molecules, such as TNF-α-binding proteins produced by ticks. We also discuss the role of structural bioinformatics techniques in understanding the mechanisms of chronic inflammatory diseases related to TNF-α. We hope that the data presented in this review will be useful for studies that aim to better understand the mechanisms of the interactions of TNF-α with other proteins and will lead to new drugs or treatments.
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