Sood Ashita, Kulharia Mahesh
Centre for Computational Biology and Bioinformatics, Central University of Himachal Pradesh, Dadroli, India.
In Silico Pharmacol. 2024 Dec 9;13(1):1. doi: 10.1007/s40203-024-00290-5. eCollection 2025.
Silicosis is a chronic occupational lung disease characterized by persistent inflammation driven by the activation of the cGAS-STING pathway, leading to the downstream activation of IRF3. To develop a natural compound library of COCONUT database for this investigation, Lipinski's rule of five was used and we explored the potential of these compounds to disrupt the IRF3-STING interaction, thereby mitigating the inflammatory response. Molecular docking and molecular dynamics (MD) simulations were employed to assess the binding stability and interaction dynamics of these compounds with IRF3. The stable RMSD values indicate that the protein-ligand complexes maintained structural integrity throughout the simulation period. The compounds also demonstrated drug-like characteristics, a promising safety profile, and formed stable complexes with the target protein. Further, decomposition of binding free energy highlighted the key contributions of IRF3 residues VAL295, ASP308, PRO324, and ARG338 interacting with the selected compounds, potentially inhibiting the IRF3-STING interaction. The origin of the selected compounds was determined using ClassyFire, classifying compound CNP0310627 as a burfenolide and compound CNP0200121 as a psoralen. Both classes are recognized for their anti-inflammatory properties, reinforcing the therapeutic potential of these compounds in reducing inflammation associated with silicosis. Our findings suggest that these compounds could serve as promising candidates for further investigation in the development of anti-inflammatory therapeutic molecules in the cGAS-STING-IRF3 signaling pathway. However, to fully assess the therapeutic potential of these compounds, further in vitro and in vivo studies are required to validate their efficacy and safety in modulating the STING-IRF3 pathway.
The online version contains supplementary material available at 10.1007/s40203-024-00290-5.
矽肺是一种慢性职业性肺病,其特征是由cGAS-STING通路激活驱动的持续性炎症,导致IRF3的下游激活。为了开发用于本研究的COCONUT数据库天然化合物库,我们使用了Lipinski的五规则,并探索了这些化合物破坏IRF3-STING相互作用的潜力,从而减轻炎症反应。采用分子对接和分子动力学(MD)模拟来评估这些化合物与IRF3的结合稳定性和相互作用动力学。稳定的RMSD值表明蛋白质-配体复合物在整个模拟期间保持结构完整性。这些化合物还表现出类药物特性、良好的安全性,并与靶蛋白形成稳定的复合物。此外,结合自由能的分解突出了IRF3残基VAL295、ASP308、PRO324和ARG338与所选化合物相互作用的关键贡献,可能抑制IRF3-STING相互作用。使用ClassyFire确定所选化合物的来源,将化合物CNP0310627分类为布非诺内酯,将化合物CNP0200121分类为补骨脂素。这两类化合物均因其抗炎特性而受到认可,增强了这些化合物在减轻与矽肺相关炎症方面的治疗潜力。我们的研究结果表明,这些化合物有望成为进一步研究cGAS-STING-IRF3信号通路中抗炎治疗分子的候选物。然而,为了全面评估这些化合物的治疗潜力,需要进一步的体外和体内研究来验证它们在调节STING-IRF3通路方面的疗效和安全性。
在线版本包含可在10.1007/s40203-024-00290-5获取的补充材料。