PHYSICOCHEMICAL AND PHARMACOKINETIC ANALYSIS AND DOCKING OF DRUG REPOSITIONING AGAINST SARS-COV-2: AN IN SILICO STUDY

Q4 Pharmacology, Toxicology and Pharmaceutics
Jackson A. Pereira, Eduardo D. Costa
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Abstract

Studies on the development of effective and cost-effective oral drugs are the new priority of the pharmaceutical industry for the prevention and treatment of COVID-19. This work was based on the computational analysis of physicochemical parameters, pharmacokinetic and toxicological measurements, molecular docking and in silico measurement of the antiviral activity of 12 repositionable drugs. The Molinspiration platform (physical-chemical parameters), pkCSM® (absorption, distribution, metabolism and excretion), OSIRIS Property Explorer® (toxicological measurements), Seam® (Docking with the RdRp protein) and AVCpred server® (antiviral activity) were used. Considering the 12 selected repositionable drugs, molecular anchoring data with the RdRp protein, only the drug tilorone had lower binding energy than the control used in this study (Molnupiravir). Ledipasvir, daclatasvir and piperaquine showed the best percentage of antiviral inhibition considering the control pattern. ADMETox data showed that piperaquine has a high toxicological potential for mutagenesis, tumorigenesis and irritant effects. The findings of this study indicate that ledipasvir and daclatasvir showed greatest potential for inhibition RdRp and action against COVID-19.
针对 SARS-COV-2 的药物重新定位的理化和药代动力学分析及对接:一项硅学研究
研究开发有效且具有成本效益的口服药物是制药业预防和治疗 COVID-19 的新重点。这项工作基于对 12 种可重新定位的药物的理化参数、药代动力学和毒理学测量、分子对接和抗病毒活性硅学测量的计算分析。使用了 Molinspiration 平台(物理化学参数)、pkCSM®(吸收、分布、代谢和排泄)、OSIRIS Property Explorer®(毒理学测量)、Seam®(与 RdRp 蛋白对接)和 AVCpred server®(抗病毒活性)。考虑到所选的 12 种可重新定位的药物与 RdRp 蛋白的分子锚定数据,只有药物替罗酮的结合能低于本研究中使用的对照组(莫能吡拉韦)。考虑到对照模式,来替帕韦、达卡他韦和哌拉喹的抗病毒抑制率最高。ADMETox 数据显示,哌喹具有较高的诱变、致瘤和刺激毒性。本研究结果表明,ledipasvir 和 daclatasvir 对 RdRp 的抑制和对 COVID-19 的作用潜力最大。
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
INDIAN DRUGS
INDIAN DRUGS Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science
CiteScore
0.30
自引率
0.00%
发文量
98
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