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.
Highlights
Enteromorpha prolifera, one of the most common green algae, is widely distributed along the intertidal zone of coastal areas[1]
Shi et al.[13] reported a polysaccharide from E. prolifera (Zhejiang, China), which was composed of rhamnose (67.8%), glucose (18.6%), xylose (7.7%), galactose (4.0%), and mannose (1.4%)
Rhamnose was the major component of the polysaccharides in E. prolifera
Summary
Enteromorpha prolifera, one of the most common green algae, is widely distributed along the intertidal zone of coastal areas[1]. Polysaccharides from E. prolifera (PE) possess a wide range of pharmacological properties which can be evidenced by their antitumor, antioxidant, and anticoagulant activities[4,5]. Among these activities, the anticoagulant property is becoming a hot topic in natural products research. The molecular weight and sulfate esters are the most important parameters for determining anticoagulant activities[6]. The ANN was developed to predict molecular weights of sulfated polysaccharides that exhibited potent anticoagulant activity
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