...
首页> 外文期刊>International Journal of Swarm Intelligence and Evolutionary Computation >Bioinformatics and Artificial Intelligence Approaches for Unraveling Evolutionary Mechanisms in Taxonomic Groups of Neurohypophysial Hormones Family
【24h】

Bioinformatics and Artificial Intelligence Approaches for Unraveling Evolutionary Mechanisms in Taxonomic Groups of Neurohypophysial Hormones Family

机译:生物信息学和人工智能揭示神经素荷尔蒙族家族分类群进化机制的方法

获取原文
           

摘要

Together Oxytocin and Vasopressin set the neurohypophysial hormones that form a family of structurally and functionally related peptide hormones. However, the biological function of these proteins may vary depending on their taxonomic classification. In our study, using a broad of bioinformatics and machine learning techniques, we described the role of sets of coevolved amino acids in determining the taxonomic classes of neurohypophysial hormone sequences. Withal, it would be possible to correlate that certain taxonomic classes can still be classified from the presence of specific amino acids from these coevolved sets, bringing more light around how molecular evolution can describe the structure and function.
机译:催产素和血管加压素一起设定形成一个结构上和功能相关的肽激素的家族的神经酸性荷尔蒙。 然而,这些蛋白质的生物学功能可能因其分类分类分类而变化。 在我们的研究中,使用广泛的生物信息学和机器学习技术,我们描述了辅助氨基酸组在确定神经肝脏序列序列的分类类别中的作用。 搭载,有可能相关的是,某些分类类别仍然可以从这些辅助组的特定氨基酸的存在中分类,从而使分子进化如何描述结构和功能的更多光。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号