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朝鲜蓟活性成分及其药理活性研究进展
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作者 余武 陈林 刘宏伟 《农产品加工》 2024年第19期98-101,共4页
朝鲜蓟是地中海地区传统的药食两用植物,富含膳食纤维、蛋白质、矿物质等营养成分,以及多酚类、黄酮类及萜类化合物等活性成分,具有抗氧化、助消化、降血脂和抗菌等药理活性。临床试验表明,朝鲜蓟提取液对消化系统、肝脏及心血管系统等... 朝鲜蓟是地中海地区传统的药食两用植物,富含膳食纤维、蛋白质、矿物质等营养成分,以及多酚类、黄酮类及萜类化合物等活性成分,具有抗氧化、助消化、降血脂和抗菌等药理活性。临床试验表明,朝鲜蓟提取液对消化系统、肝脏及心血管系统等具有保护作用。对朝鲜蓟活性成分及其药理活性研究进展进行综述,以期为促进朝鲜蓟的综合利用及深入的临床研究提供参考。 展开更多
关键词 朝鲜蓟 活性成分 药理活性
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Synthesis of ribozyme against vascular endothelial growth factor_(165) and its biological activity in vitro 被引量:1
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作者 Zhong-PingGu Yun-JieWang +2 位作者 yuwu Jin-GeLi Nong-AnChen 《World Journal of Gastroenterology》 SCIE CAS CSCD 2004年第10期1495-1498,共4页
AIM: To investigate the designation, synthesis and biological activity of against vascular endothelial growth factor165 (VEGF165) ribozyme.METHODS: The ribozyme against VEGF165 was designed with computer. The transcri... AIM: To investigate the designation, synthesis and biological activity of against vascular endothelial growth factor165 (VEGF165) ribozyme.METHODS: The ribozyme against VEGF165 was designed with computer. The transcriptional vector was constructed which included the anti-VEGF165 ribozyme and 5', 3' selfsplicing ribozymes. The hammerhead ribozyme and substrate VEGF165 mRNA were synthesized through transcription in vitro.The cleavage activity of the ribozyme on target RNA was observed in a cell-free system.PESULTS: The anti-VEGF165 ribozyme was released properly from the transcription of pGEMRz212 cleaved by 5' and 3' self-splicing ribozymes which retained its catalytic activity,and the cleavage efficiency of ribozyme reached 90.7%.CONCLUSION: The anti-VEGF165 ribozyme designed with computer can cleave VEGF165 mRNA effectively. 展开更多
关键词 RNA构成酶 血管内皮生长因子 生物学活性 合成机制
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Capturing 2D van der Waals magnets with high probability for experimental demonstration from materials science literature
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作者 Haiyang Song Yinghe Zhao +6 位作者 Eleanor Turner yuwu Yuan Li Menghao Wu Guang Feng Huiqiao Li Tianyou Zhai 《InfoMat》 SCIE CSCD 2023年第4期39-47,共9页
2D van der Waals(vdW)magnets have opened intriguing prospects for next-generation spintronic nanodevices.Machine learning techniques and density functional theory calculations enable the discovery of 2D vdW magnets to... 2D van der Waals(vdW)magnets have opened intriguing prospects for next-generation spintronic nanodevices.Machine learning techniques and density functional theory calculations enable the discovery of 2D vdW magnets to be accelerated;however,current computational frameworks based on these state-ofthe-art approaches cannot offer probability analysis on whether a 2D vdW magnet can be experimentally demonstrated.Herein,a new framework can be established to overcome this challenge.Via the framework,2D vdW magnets with high probability for experimental demonstration are captured from materials science literature.The key to the successful establishment is the introduction of the theory of mutual information.Historical validation of predictions substantiates the high reliability of the framework.For example,half of the 302D vdW magnets discovered in the literature published prior to 2017 have been experimentally demonstrated in the subsequent years.This framework has the potential to become a revolutionary force for progressing experimental discovery of 2D vdW magnets. 展开更多
关键词 2D vdW magnets mutual information neural networks
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