A computational strategy for systematic virtual screening of plasmodium falciparum heme detoxification protein inhibitors from the Drugbank database.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Shrikant Nema, Rini Chaturvedi, Kanika Verma, Anup R Anvikar, Archana Tiwari, Praveen Kumar Bharti
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引用次数: 0

Abstract

Antimalarial drug resistance poses one of the greatest threats to malaria treatment, resulting in increased morbidity and mortality. Heme Detoxification Protein (HDP) is among the essential hemoglobinases of P. falciparum (Pf), a vital molecular target for the treatment of malaria. In this study, we utilized the virtual screening workflow tool of the Schrodinger suite to find the best hits for the PfHDP from the DrugBank library. A total of 14,942 compounds were identified against the PfHDP. The top compounds with the highest docking scores and least energy scores were subjected to molecular simulations for 500 nanosecond to check the stability of the protein-drug complexes. The top three DrugBank compounds were found to be stable over 500 ns, namely DB09298 (silibinin), DB07426 (1-Hydroxy-2-(1,1':3',1''-Terphenyl-3-Yloxy) Ethane-1,1-Diyl] Bis (Phosphonic Acid), and DB07410 [(2-(3-Dibenzofuran-4-yl-Phenyl)-1-Hydroxy-1-Phosphono-Ethyl]-Phosphonic Acid). Overall analysis suggests that the top three compounds, DB09298, DB07426, and DB07410, have good stability for 500 ns. Their scaffolds can be used to design and develop new analogs of the target HDP protein. Silibinin, the anti-cancer drug, was found to be highly stable for the entire simulation period as compared to the other compounds. DB07426 shows its therapeutic effect on bones, especially in the treatment of osteoporosis, and DB07410 has anti-tumor, antibacterial, anti-oxidative, and anti-viral activities. All three compounds can be considered for repurposing as antimalarial drugs to evaluate the binding capacity or inhibition potential of these compounds. Further in-vivo and in-vitro analysis against the PfHDP protein should be conducted.

从药物数据库中系统虚拟筛选恶性疟原虫血红素解毒蛋白抑制剂的计算策略。
抗疟药物耐药性是疟疾治疗面临的最大威胁之一,会导致发病率和死亡率上升。血红素解毒蛋白(HDP)是恶性疟原虫(Pf)的重要血红蛋白酶之一,是治疗疟疾的重要分子靶点。在这项研究中,我们利用 Schrodinger 套装的虚拟筛选工作流程工具,从 DrugBank 库中寻找治疗 PfHDP 的最佳药物。共鉴定出 14942 个与 PfHDP 对抗的化合物。对对接得分最高、能量得分最低的化合物进行了 500 纳秒的分子模拟,以检测蛋白质-药物复合物的稳定性。发现前三个 DrugBank 化合物在 500 纳秒内是稳定的,它们是 DB09298(silibinin)、DB07426(1-羟基-2-(1,1':3',1''-三联苯-3-氧基)乙烷-1,1-二基]双(膦酸)和 DB07410 [(2-(3-Dibenzofuran-4-yl-Phenyl)-1-Hydroxy-1-Phosphono-Ethyl]-Phosphonic Acid]。总体分析表明,前三种化合物 DB09298、DB07426 和 DB07410 在 500 毫微秒内具有良好的稳定性。它们的支架可用于设计和开发目标 HDP 蛋白的新类似物。与其他化合物相比,抗癌药物 Silibinin 在整个模拟期间都非常稳定。DB07426 显示了对骨骼的治疗效果,尤其是在治疗骨质疏松症方面,而 DB07410 则具有抗肿瘤、抗菌、抗氧化和抗病毒活性。这三种化合物都可以考虑重新用作抗疟药物,以评估这些化合物的结合能力或抑制潜力。应针对 PfHDP 蛋白进行进一步的体内和体外分析。
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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