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Molecular volumes of amino acids and small peptides: Counting atoms versus topological indices.

机译:氨基酸和小肽的分子体积:原子计数与拓扑指数的比较。

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摘要

In the recent years, an interest in obtaining accurate data in molecular volumes for biomolecules has increased. The development of a new innovative QSAR method to predict molecular volumes for amino acids and small peptides has been carried out; since QSAR studies express the biological activity of compounds as amino acids, peptides and proteins. Existing data of partial molar volumes' amino acids and small peptides were used to correlate the new data.; Based on the simplest level of the structure of a molecule, the new method has high accuracy. A comparison with the latter QSPR method based on topological indexes to this method shows a big discrepancy.; This method is the beginning of new studies for larger peptides and proteins. It also can be suggested to be used for molecules which structure contains the same type of atoms of an amino acid.
机译:近年来,对于获得生物分子的分子体积的准确数据的兴趣增加了。已经开发了一种新的创新QSAR方法来预测氨基酸和小肽的分子体积。由于QSAR研究将化合物的生物活性表示为氨基酸,肽和蛋白质。使用部分摩尔体积的氨基酸和小肽的现有数据来关联新数据。基于分子结构的最简单层次,该新方法具有很高的准确性。与后者基于拓扑指标的QSPR方法相比,该方法存在很大差异。这种方法是对更大的肽和蛋白质进行新研究的开始。还可以建议将其用于结构包含相同类型氨基酸原子的分子。

著录项

  • 作者

    Lerma, Maricarmen.;

  • 作者单位

    The University of Texas at El Paso.;

  • 授予单位 The University of Texas at El Paso.;
  • 学科 Chemistry Biochemistry.
  • 学位 M.S.
  • 年度 2006
  • 页码 43 p.
  • 总页数 43
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物化学;
  • 关键词

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