Skariyachan Sinosh, Vijayan Swathi, Sebastian Denoj, Naracham Veettil Vinod, Rajeswari Narayanappa, Kaitheri Edathil Rachana
Department of Microbiology, St. Pius X College, Rajapuram, Kasaragod, Kerala, 671532, India.
Department of Life Sciences (Zoology) and Computational Biology, St. Pius X College Rajapuram, Kasaragod, Kerala, 671532, India.
Biochem Biophys Res Commun. 2025 Jun 20;776:152239. doi: 10.1016/j.bbrc.2025.152239.
Marburg virus (MARV) and Chandipura virus (CHPV), belonging to the families filoviridae and rhabdoviridae, respectively, are RNA viruses producing a hemorrhagic fever and severe encephalitis with a high mortality rate. The present study computationally explores the antiviral potential of bioactive molecules from Glycyrrhiza glabra (Licorice root) against the glycoprotein (GP) of MARV and nucleoprotein (NP) of CHPV. The 3D structures of GP and NP are not available in their native forms, and these structures were computationally modelled and validated for their structural and stereochemical properties. Licorice compounds with satisfactory pharmacokinetics such as drug likeness and ADMET, were docked against these targets, and comparison was made with the docking results of the reference antiviral drug, favipiravir and the target VP35 by using their binding affinities. Apigenin possessed the highest binding affinity with GP and NP at -6.3 and -7.1 kcal/mol, respectively, with greater binding affinities compared to favipiravir and VP35 at -4.2 kcal/mol. Additional stability of apigenin-protein complexes was investigated by MD simulations, including RMSD, RMSF, H-bonds, PCA, FEL, and DCCM analyses. These revealed a stable conformational stability and interaction formation in apigenin-protein complexes, however, apigenin-GP complex was found more stable than apigenin-NP. Binding free energy calculations, conducted using MM/GBSA and MM/PBSA, also estimated ΔG values of -679.65 kcal/mol and -92.30 kcal/mol for apigenin-GP and apigenin-NP complexes. This in silico model highlights apigenin from Glycyrrhiza glabra as a potential dual targeting antiviral therapeutic against both CHPV and MARV, and finds significant applications in further in vitro and in vivo validation.
马尔堡病毒(MARV)和钱迪普拉病毒(CHPV)分别属于丝状病毒科和弹状病毒科,是能引发出血热和严重脑炎且死亡率很高的RNA病毒。本研究通过计算机模拟探索了光果甘草(甘草根)中的生物活性分子对马尔堡病毒糖蛋白(GP)和钱迪普拉病毒核蛋白(NP)的抗病毒潜力。GP和NP的三维结构尚无天然形式,因此对这些结构进行了计算机模拟建模,并针对其结构和立体化学性质进行了验证。将具有令人满意的药代动力学性质(如类药性和ADMET)的甘草化合物与这些靶点进行对接,并通过参考抗病毒药物法匹拉韦和靶点VP35的结合亲和力对对接结果进行比较。芹菜素与GP和NP的结合亲和力最高,分别为-6.3和-7.1千卡/摩尔,与法匹拉韦和VP35的-4.2千卡/摩尔相比,具有更高的结合亲和力。通过分子动力学模拟研究了芹菜素-蛋白质复合物的额外稳定性,包括均方根偏差(RMSD)、均方根波动(RMSF)、氢键、主成分分析(PCA)、自由能景观(FEL)和动态相关矩阵(DCCM)分析。这些结果表明芹菜素-蛋白质复合物具有稳定的构象稳定性和相互作用形成,然而,发现芹菜素-GP复合物比芹菜素-NP更稳定。使用MM/GBSA和MM/PBSA进行的结合自由能计算还估计了芹菜素-GP和芹菜素-NP复合物的ΔG值分别为-679.65千卡/摩尔和-92.30千卡/摩尔。这个计算机模拟模型突出了光果甘草中的芹菜素作为一种针对钱迪普拉病毒和马尔堡病毒的潜在双靶点抗病毒治疗药物,并在进一步的体外和体内验证中具有重要应用。