胡椒中植物化学物质的ADME预测

S. Samajdar
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引用次数: 1

摘要

现代药理学技术可以与植物相辅相成,因此传统药用植物分析多年来在全球范围内兴起。随着计算机科学的发展,网络分析和筛选等计算机方法被广泛用于了解传统药用植物作用的药理学基础。在这种方法中,网络药理学、计算机筛选和药代动力学筛选可以增加候选药物中活性物质的数量,并揭示治疗植物的作用方式。应用计算机ADME工具SwissADME对长叶姜进行药理学和生药学分析是当前的研究热点。这些研究结果可以被研究人员用来研究体外和体内研究,以揭示传统草药的药理学基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In silico ADME prediction of Phytochemicals present in Piper longum
Modern pharmacological techniques can be complemented by plants, therefore conventional medicinal plant analysis has risen globally over the years. As computer science advanced, in silico methods such as network analysis and screening were widely used to provide insight on the pharmacological underpinnings of the actions of traditional medicinal plants. In this method, network pharmacology, in silico screening, and pharmacokinetic screening can increase the number of active substances among the candidates and reveal the therapeutic plant's mode of action. The application of the insilico ADME tool SwissADME for the pharmacological and pharmacognostic profiling of Piper longum Lam is the current focus. The findings of these investigations can be used by researchers to look into in vitro and in vivo studies to uncover the pharmacological underpinnings of conventional medicinal herbs.
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