为研究树胶癌细胞中内源性结合锰的核酸的动态核极化提供了剩余偶极偶联的无张量计算的新机会

A. Heidari, R. Gobato
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引用次数: 9

摘要

在本研究中,为研究树胶癌细胞中内源性结合锰的核酸的动态核极化,探索了剩余偶极偶联的无张量计算的新机会。用于研究树胶癌细胞中内源性结合锰的核酸动态核极化的剩余偶极耦合的无张量计算最初起源于分析化学,以评估基于内部化学键中振动模式的不同激励的化合物。由于无张量计算残差偶极偶联用于研究树胶癌细胞中与内源性锰结合的核酸动态核极化,能够检测出无张量计算残差偶极偶联用于研究树胶癌细胞中与内源性锰结合的核酸动态核极化的分子内键信号,也可以提供生物样品内的生化条件。在细胞、组织甚至器官等分子复杂的生物系统中,研究树胶癌细胞中内源性结合锰的核酸动态核极化的剩余偶极偶联的无张量计算携带了系统中存在的物质的内在细节和信息,从而可以获得生物状态,从而容易准确地获得组织的详细特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New opportunities for tensor–free calculations of residual dipolar couplings for the study of dynamic nuclear polarization of nucleic acids with endogenously bound manganese in gum cancer cells
In the current study, new opportunities for tensor–free calculations of residual dipolar couplings for the study of dynamic nuclear polarization of nucleic acids with endogenously bound manganese in gum cancer cells are investigated. Tensor–free calculations of residual dipolar couplings for the study of dynamic nuclear polarization of nucleic acids with endogenously bound manganese in gum cancer cells originates initially from analytical chemistry to evaluate chemical compounds based on varied excitation of vibrational modes in the internal chemical bonds. Since tensor–free calculations of residual dipolar couplings for the study of dynamic nuclear polarization of nucleic acids with endogenously bound manganese in gum cancer cells is able to detect tensor–free calculations of residual dipolar couplings for the study of dynamic nuclear polarization of nucleic acids with endogenously bound manganese in gum cancer cells signals from the bonds within molecules, it can also provide the biochemical conditions within biological samples. Within a molecularly complicated biological system, like a cell, tissue or even an organ, tensor–free calculations of residual dipolar couplings for the study of dynamic nuclear polarization of nucleic acids with endogenously bound manganese in gum cancer cells carries intrinsic details and information of the materials present in the system, thus the biological status can also be acquired based on which the detailed features of the tissue are easily and accurately obtained.
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