硫酸葡聚糖抑制胃蛋白酶消化DNA的分子机制:硫酸基团与DNA结合的关键作用。

IF 2.4 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jing Zhang, Leshan Ding, Hu Hou, Long Yu, Jing Li, Ping Dong
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引用次数: 0

摘要

硫酸多糖可以抑制体外模拟胃液中DNA的消化,这对调节膳食核酸代谢具有重要意义,但其抑制机制尚不清楚。本研究采用不同硫酸盐基团和分子量的硫酸葡聚糖(DS),探讨了DS对DNA消化的影响。采用生物层干涉法(BLI)、等温滴定量热法(ITC)和分子动力学模拟研究了DS与DNA的分子相互作用。结果表明,分子量和硫酸盐基团含量越高的DS对DNA消化的抑制作用越强。ITC结果表明,DNA和DS的Kd值约为2.53 mM。抑制DNA消化的主要原因是DS的硫酸盐基团与DNA碱基之间形成的氢键阻碍了DNA与胃蛋白酶的结合。这一发现将促进核酸代谢和口服给药的新策略。由Ramaswamy H. Sarma传达。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Insights into the molecular mechanism of dextran sulfate inhibiting DNA digestion by pepsin: a crucial role of sulfate group on the binding to DNA.

Sulfate polysaccharides can inhibit DNA digestion in simulated gastric juice in vitro, which is important for regulating dietary nucleic acids metabolism, but the mechanism of inhibition is unclear. This study used dextran sulfate (DS) with different sulfate groups and molecular weights to explore the effect of DS on DNA digestion. Molecular interactions between DS and DNA were investigated by biolayer interferometry (BLI), isothermal titration calorimetry (ITC) and molecular dynamics simulations. Results indicated that DS with higher molecular weight and sulfate group content showed stronger inhibitory effect of DNA digestion. ITC results showed that the combined Kd value of DNA and DS was about 2.53 mM. The main reason for inhibition of DNA digestion is that the formation of hydrogen bonds between the sulfate group of DS and DNA bases hinders the binding of DNA to pepsin. This finding will facilitate new strategies for nucleic acid metabolism and oral drug delivery.Communicated by Ramaswamy H. Sarma.

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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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