Exploring the exportin-1 inhibitors for COVID-19 and anticancer treatment.

IF 2.4 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Tanuj Sharma, Tanmoy Mondal, Venu Venkatarame Gowda Saralamma, Md Imtaiyaz Hassan, Chang Joong Kim, Marianela Patzi Churqui, Kristina Nyström, Ketan Thombare, Mohammad Hassan Baig, Jae-June Dong
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引用次数: 0

Abstract

Nuclear export protein 1, also known as XPO1, plays a crucial role in cellular homeostasis and assists in the nucleocytoplasmic transfer of ribonucleic acids (RNAs) and proteins. In addition, this nuclear export receptor is essential for the export of a variety of cargo molecules, such as proteins implicated in the immune response, tumor suppression, and cell cycle regulation. XPO1 has emerged as a promising target to disrupt the life cycles of multiple viruses and treat cancers. In our current work, we used a computational approach consisting of pharmacophore-assisted virtual screening complemented by molecular docking, molecular dynamics, and solvation-based free-energy studies to identify new inhibitors of the XPO1 protein. The identified compounds displayed highly stable RMSD plots, hydrogen bonding interactions, and relatively good binding affinities in both docking and free energy studies. These molecules were validated in vitro against SARS-CoV-2 and cancer cell lines. The study identified novel inhibitors of the XPO1 protein with both antiviral and anticancer activities.

探索新型冠状病毒出口蛋白-1抑制剂及抗癌治疗。
核输出蛋白1,也被称为XPO1,在细胞内稳态中起着至关重要的作用,并协助核糖核酸(rna)和蛋白质的核质转移。此外,这种核输出受体对于多种货物分子的输出至关重要,例如涉及免疫反应、肿瘤抑制和细胞周期调节的蛋白质。XPO1已成为破坏多种病毒生命周期和治疗癌症的有希望的靶标。在我们目前的工作中,我们使用了一种计算方法,包括药物载体辅助的虚拟筛选,辅以分子对接、分子动力学和基于溶剂的自由能研究,以确定XPO1蛋白的新抑制剂。所鉴定的化合物在对接和自由能研究中均表现出高度稳定的RMSD图、氢键相互作用和相对良好的结合亲和力。这些分子在体外对SARS-CoV-2和癌细胞系进行了验证。该研究发现了具有抗病毒和抗癌活性的新型XPO1蛋白抑制剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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