水下生物传感器制造的计算机生物化学与分子技术:天然化学物质种群的研究

A. Zamyatnin
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引用次数: 0

摘要

本工作致力于利用计算机研究数百种天然神经肽和一些相关物质的天然化学物质群体的共同化学特征,特别是特定的化学基团以及这些配体在水下条件下与传感器结构的相互作用。分析了神经肽的氨基酸残基含量。提出了一种将内源性寡肽按结构家族分类的新方法。与蛋白质相比,寡肽含有更多的正电荷和环自由基。我们研究了这些分子的空间构型,这可以深入了解具有相似功能性质的分子中功能重要自由基相互排列的共同特征。每个分子都有几百种构象。通过比较它们的势能和固定化学自由基之间的距离,可以找到与受体或生物传感器相互作用的结构,并描述与生物实验数据一致的结构-功能关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer biochemistry and molecular technology of the underwater biosensor creation: study of the natural chemical substance population
This work is devoted to the computer study of common chemical features of the natural chemical substance population of several hundred natural neuropeptides and some related substances, in particular specific chemical groups and the interaction of these ligands with sensor structures under underwater conditions. The amino acid residue content of neuropeptides is analyzed. A new method for grouping endogenous oligopeptides into structural families is suggested. Compared to proteins, it is shown that the oligopeptides contain a greater number of positively charged and cyclic radicals. We study the spatial configuration of these molecules, which could give insight into the common features of the mutual arrangement of functionally important radicals in molecules with similar functional properties. Several hundred conformations were found for each molecule. The comparison of their potential energy and distances between fixed chemical radicals permitted to find such structures, which were responsible for the interaction with receptors or biosensors, and to describe the structure-function relationship that was agree with biological experimental data.
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