IGF1R 抑制剂对呼吸道合胞病毒感染的体外和体内抗病毒作用。

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Pinglang Ruan, Pei Dai, Yu Mao, Zhongxiang Tang, Hanlin He, Guojun Wu, Ling Qin, Yurong Tan
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引用次数: 0

摘要

胰岛素样生长因子 1 受体(IGF1R)被认为是促进 RSV 进入细胞的关键受体。针对 IGF1R 设计的小分子抑制剂具有作为强效抗病毒药物的潜力。通过虚拟筛选,我们对来自天然产物的小分子化合物进行了筛选,旨在针对 IGF1R 蛋白抗呼吸道合胞病毒感染。分子动力学模拟分析表明,单宁酸和达托霉素与 IGF1R 有相互作用。体内和体外实验结果表明,单宁酸和达托霉素具有抗呼吸道合胞病毒感染的潜力,能减少病毒载量、炎症、气道阻力和保护肺泡完整性。单宁酸和达托霉素的CC50值分别为6 nM和0.45 μM。针对IGF1R的新型小分子抑制剂单宁酸和达托霉素可能是有效的抗RSV治疗药物。这项研究将来可能会拓宽用于抗RSV感染的治疗药物库,并带来更有效的抗病毒治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The in vitro and in vivo antiviral effects of IGF1R inhibitors against respiratory syncytial virus infection.

The insulin-like growth factor 1 receptor (IGF1R) was recognized as a pivotal receptor that facilitated the cellular entry of RSV. Small molecule inhibitors designed to target IGF1R exhibited potential as potent antiviral agents. Through virtual screening, we conducted a screening process involving small molecule compounds derived from natural products, aiming to target the IGF1R protein against respiratory syncytial virus infection. The molecular dynamics simulation analysis showed that tannic acid and daptomycin interacted with the IGF1R. The experimental results in vivo and in vitro showed that tannic acid and daptomycin had anti-RSV infection potential through reducing viral loads, inflammation, airway resistance and protecting alveolar integrity. The CC50 values of tannic acid and daptomycin were 6 nM and 0.45 μM, respectively. Novel small-molecule inhibitors targeting the IGF1R, tannic acid and daptomycin, may be effective anti-RSV therapy agents. This study may in future broaden the arsenal of therapeutics for use against RSV infection and lead to more effective care against the virus.

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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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