Egbuna Chukwuebuka, Patrick-Iwuanyanwu Kingsley C, Onyeike Eugene N, Khan Johra, Alshehri Bader
Africa Centre of Excellence in Public Health and Toxicological Research (ACE-PUTOR), University of Port-Harcourt, Port Harcourt, Rivers State, Nigeria.
Department of Biochemistry, Faculty of Science, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria.
J Biomol Struct Dyn. 2022;40(22):12248-12259. doi: 10.1080/07391102.2021.1969286. Epub 2021 Sep 6.
Over 30-35% of patients down with AML are caused by mutations of FLT3-ITD and FLT3-TKD which keeps the protein activated while it activates other signaling proteins downstream that are involved in cell proliferation, differentiation, and survival. As drug targets, many inhibitors are already in clinical practice. Unfortunately, the average overall survival rate for patients on medication suffering from AML is 5 years despite the huge efforts in this field. To perform docking simulation and ADMET studies on selected phytochemicals against FLT3 protein receptor for drug discovery against FLT3 induced AML, molecular docking simulation was performed using human FLT3 protein target (PDB ID: 6JQR) and 313 phytochemicals with standard anticancer drugs (Sorafenib and Gilteritinib in addition to other anticancer drugs). The crystal structure of the protein was downloaded from the protein data bank and prepared using Biovia Discovery Studio. The chemical structures of the phytochemicals were downloaded from the NCBI PubChem database and prepared using Open Babel and VConf softwares. Molecular docking was performed using PyRx on Autodock Vina. The ADMET properties of the best performing compounds were calculated using SwissADME and pkCMS web servers. The results obtained showed that glabridin, ellipticine and derivatives (elliptinium and 9-methoxyellipticine), mezerein, ursolic acid, formononetin, cycloartocarpesin, hypericin, silymarin, and indirubin are the best performing compounds better than sorafenib and gilteritinib based on their binding affinities. The top-performing compounds which had better binding and ADMET properties than sorafenib and gilteritinib could serve as scaffolds or leads for new drug discovery against FLT3 induced AML.Communicated by Ramaswamy H. Sarma.
超过30%-35%的急性髓系白血病(AML)患者是由FLT3-ITD和FLT3-TKD突变引起的,这些突变使该蛋白保持激活状态,同时激活下游其他参与细胞增殖、分化和存活的信号蛋白。作为药物靶点,许多抑制剂已应用于临床实践。不幸的是,尽管该领域付出了巨大努力,但接受药物治疗的AML患者的平均总生存率仅为5年。为了针对FLT3蛋白受体对选定的植物化学物质进行对接模拟和ADMET研究,以发现针对FLT3诱导的AML的药物,使用人FLT3蛋白靶点(PDB ID:6JQR)和313种植物化学物质以及标准抗癌药物(索拉非尼和吉列替尼以及其他抗癌药物)进行了分子对接模拟。该蛋白的晶体结构从蛋白质数据库下载,并使用Biovia Discovery Studio进行制备。植物化学物质的化学结构从NCBI PubChem数据库下载,并使用Open Babel和VConf软件进行制备。使用PyRx在Autodock Vina上进行分子对接。使用SwissADME和pkCMS网络服务器计算表现最佳的化合物的ADMET性质。所得结果表明,光甘草定、玫瑰树碱及其衍生物(椭圆玫瑰树碱和9-甲氧基玫瑰树碱)、美泽瑞因、熊果酸、芒柄花素、环桂木黄酮、金丝桃素、水飞蓟宾和靛玉红是表现最佳的化合物,基于它们的结合亲和力,比索拉非尼和吉列替尼更好。与索拉非尼和吉列替尼相比,具有更好结合和ADMET性质的表现最佳的化合物可作为针对FLT3诱导的AML的新药发现的支架或先导化合物。由拉马斯瓦米·H·萨尔马传达。