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Rarefaction on natural compound extracts diversity among genus

机译:对天然化合物的反萃取提取属之间的多样性

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摘要

The aim of our study was to investigate the intrinsic diversity of genus based on chemical composition of natural extracts of Cacalia, Dracocephalum, Jatropha, Saussurea and Senecio. Four rarefaction approaches (richness, Shannon's entropy, Simpson's diversity, and max-entropy) were implemented as an algorithm and run 10,000 times. Our results showed similar patterns of richness in natural compounds according to genus and of Simpson's diversity index while max-entropy has a similar pattern as Shannon's entropy. The analysis of both richness in active compounds and weight of most frequent extracted compound revealed that Dracocephalum genus is most suitable for propagation.
机译:我们研究的目的是根据卡卡利亚,德拉科,麻风树,雪莲和千里光的天然提取物的化学成分研究属的内在多样性。四种稀疏方法(丰富度,香农熵,辛普森分集和最大熵)被实现为一种算法,并运行了10,000次。我们的结果表明,根据属和辛普森多样性指数,天然化合物的富集模式相似,而最大熵与香农熵的模式相似。对活性化合物的丰富度和最常提取的化合物的重量进行分析后发现,Dracocephalum属最适合繁殖。

著录项

  • 来源
    《Journal of computational science》 |2014年第3期|363-367|共5页
  • 作者单位

    Technical University of Cluj-Napoca, 28 Memorandumului, 400144 Cluj-Napoca, Cluj, Romania,University of Agricultural Science and Veterinary Medicine Cluj-Napoca, 3-5 Calea Manastur, 400372 Cluj-Napoca, Romania;

    'Iuliu Hatieganu' University of Medicine and Pharmacy Cluj-Napoca, Department of Medical Informatics and Biostatistics, 6 Louis Pasteur, 400349 Cluj-Napoca, Cluj, Romania;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Biodiversity; Bootstrap; Rarefaction; Compounds richness;

    机译:生物多样性;引导程序稀疏;复合物丰富度;

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