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利用人工神经网络从浒苔中定向制备抗凝活性硫酸多糖。

Directional preparation of anticoagulant-active sulfated polysaccharides from Enteromorpha prolifera using artificial neural networks.

机构信息

College of Food Science and Engineering, Ocean University of China, Qingdao, 266003, PR China.

College of Marine Science and Biological Engineering, Qingdao University of Science & Technology, Qingdao, 266042, PR China.

出版信息

Sci Rep. 2018 Feb 15;8(1):3062. doi: 10.1038/s41598-018-21556-x.

Abstract

The sulfated polysaccharides from Enteromorpha prolifera (PE) are a potential source of anticoagulant agents. In this study, the PE was degraded by specific degradase and five hydrolysis products with different molecular weights were prepared. The product of 206 kDa is a kind of high rhamnose-containing polysaccharide with sulfate ester (34.29%). It could effectively prolong the activated partial thromboplastin time (APTT), which indicated inhibition of the intrinsic coagulation pathway. The artificial neural network (ANN) was built to realize the directional preparation of anticoagulant-active polysaccharides. Based on monitoring glucose concentration on-line, a visualization system of enzymatic hydrolysis was developed to simplify the operation of ANN. The model could be further applied to predict molecular weights of polysaccharides that possess diverse biological activities.

摘要

石莼(Enteromorpha prolifera,PE)中的硫酸多糖是一种有潜力的抗凝剂来源。在这项研究中,PE 被特定的降解酶降解,制备了五种不同分子量的水解产物。分子量为 206kDa 的产物是一种高岩藻糖含量的多糖,硫酸酯基含量为 34.29%。它可以有效延长活化部分凝血活酶时间(APTT),表明它抑制了内源性凝血途径。构建人工神经网络(ANN)以实现抗凝活性多糖的定向制备。通过在线监测葡萄糖浓度,开发了一种酶解可视化系统,简化了 ANN 的操作。该模型还可以进一步应用于预测具有不同生物活性的多糖的分子量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b69b/5814554/7e64f1c45866/41598_2018_21556_Fig1_HTML.jpg

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