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首页> 外文期刊>Evidence-based complementary and alternative medicine: eCAM >Predictive Analyses of Biological Effects of Natural Products: From Plant Extracts to Biomolecular Laboratory and Computer Modeling
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Predictive Analyses of Biological Effects of Natural Products: From Plant Extracts to Biomolecular Laboratory and Computer Modeling

机译:天然产物的生物学效应的预测分析:从植物提取物到生物分子实验室和计算机建模

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Year by year, the characterization of the biological activity of natural products is becoming more competitive and complex, with the involvement in this research area of experts belonging to different scientific fields, including chemistry, biochemistry, molecular biology, immunology and bioinformatics. These fields are becoming of great interest for several high-impact scientific journals, includingeCAM. The available literature in general, and a survey of reviews and original articles recently published, establishes that natural products, including extracts from medicinal plants and essential oils, retain interesting therapeutic activities, including antitumor, antiviral, anti-inflammatory, pro-apoptotic and differentiating properties. In this commentary, we focus attention on interest in networks based on complementary activation and comparative evaluation of different experimental strategies applied to the discovery and characterization of bioactive natural products. A representative flow chart is shown in the paper.
机译:天然产物的生物活性的表征逐年变得越来越竞争和复杂,化学,生物化学,分子生物学,免疫学和生物信息学等不同科学领域的专家参与了这一研究领域。这些领域对于包括eCAM在内的几种高影响力的科学期刊都引起了极大的兴趣。现有的一般文献以及最近发表的评论和原始文章的调查表明,天然产物(包括药用植物和精油的提取物)保留了有趣的治疗活性,包括抗肿瘤,抗病毒,抗炎,促凋亡和分化属性。在这篇评论中,我们将注意力集中在对基于互补激活的网络以及对用于生物活性天然产物的发现和表征的不同实验策略的比较评估的兴趣上。本文显示了代表性流程图。

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