Hossain Alomgir, Joti Faria Tasnin, Hossain Md Shohag, Al-Noman Abdullah, Thowing Chomong, Mursona Mehjabin, Islam Md Robiul, Rahman Md Ekhtiar, Matin Mohammad Nurul, Haque Md Azizul
Computational Biosciences and Chemistry Research Organization, Rajshahi 6205, Bangladesh.
Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh.
Pharmaceuticals (Basel). 2025 Apr 13;18(4):566. doi: 10.3390/ph18040566.
: Dengue virus (DENV) is the fatal pathogenic arthropod-borne virus (arboviruses) that belongs to the family, which transmits to humans through mosquito bites from infected and mosquitoes or maternal-fetal transmission. Despite antigenic differences, the four serotypes of DENV (DENV-1 to DENV-4) share 65-78% of their genome. Non-structural (NS) proteins amongst serotypes show analogous functions. Among NS proteins, NS3 and NS5 are frequently used as targets for antiviral drugs due to their multifunctional roles. : To identify potential inhibitors of DENV, we created a phytochemical library of 898 compounds derived from 17 medicinal plants recognized for their medicinal and antiviral properties. The phytochemicals library has been docked against the target proteins. Phytochemicals with a docking score greater than -8.0 kcal/mol were selected for further evaluation using a machine learning approach. Further, molecular dynamics (MD) simulations were conducted to evaluate the root mean square deviation, root mean square fluctuation, solvent-accessible surface area, radius of gyration, and hydrogen bond count of the compounds. : From the docking results, Silibinin, Rubiadin, and Ellagic acid showed binding affinities of -8.5, -8.3, and -8.2 kcal/mol, respectively, for NS3, and NSC 640467, Bisandrographolide A, and Andrographidin A showed binding affinities of -9.3, -10.1, and -9.3 kcal/mol, respectively, for NS5 target proteins. These compounds exhibited strong interactions with target proteins. MD simulation results confirmed the stable formation of protein-ligand complexes. Further, absorption, distribution, metabolism, excretion, and toxicity (ADMET) and bioactivity predictions confirmed their pharmacological safety. : Despite global public health concerns, DENV still lacks specific drug treatments. Our identified new drug candidates might help for developing effective antiviral inhibitors against the DENV. However, further confirmation is needed through in vivo and in vitro research.
登革病毒(DENV)是一种致命的致病性节肢动物传播病毒(虫媒病毒),属于黄病毒科,通过受感染的伊蚊叮咬或母婴传播感染人类。尽管存在抗原差异,但登革病毒的四种血清型(DENV - 1至DENV - 4)的基因组有65 - 78%是相同的。血清型之间的非结构(NS)蛋白具有类似的功能。在NS蛋白中,NS3和NS5因其多功能作用,常被用作抗病毒药物的靶点。
为了鉴定登革病毒的潜在抑制剂,我们创建了一个包含898种化合物的植物化学文库,这些化合物来自17种以其药用和抗病毒特性而闻名的药用植物。该植物化学文库已与靶蛋白进行对接。对接分数大于 - 8.0千卡/摩尔的植物化学物质被选择使用机器学习方法进行进一步评估。此外,进行了分子动力学(MD)模拟,以评估化合物 的均方根偏差、均方根波动、溶剂可及表面积、回转半径和氢键数量。
从对接结果来看,水飞蓟宾、玉红苷和鞣花酸对NS3的结合亲和力分别为 - 8.5、 - 8.3和 - 8.2千卡/摩尔,而NSC 640467、双穿心莲内酯A和穿心莲定A对NS5靶蛋白的结合亲和力分别为 - 9.3、 - 10.1和 - 9.3千卡/摩尔。这些化合物与靶蛋白表现出强烈的相互作用。MD模拟结果证实了蛋白质 - 配体复合物的稳定形成。此外,吸收、分布、代谢、排泄和毒性(ADMET)以及生物活性预测证实了它们的药理安全性。
尽管全球都在关注公共卫生问题,但登革病毒仍然缺乏特异性药物治疗。我们鉴定出的新候选药物可能有助于开发针对登革病毒的有效抗病毒抑制剂。然而,还需要通过体内和体外研究进行进一步确认。