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药学网络信息在教学中的应用与思考 被引量:4
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作者 郭春红 赵仁永 《齐鲁药事》 2006年第3期188-189,共2页
关键词 网络信息 教学过程 药学 医药生物技术 专业知识 多媒体技术 知识更新 在校期间 计算机 药学网络信息
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药学网络信息在药学理论教学中的应用效果分析 被引量:1
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作者 孙先宇 《学园》 2012年第2期55-55,共1页
药学信息网络化是信息技术发展的产物,在计算机和互联网平台的支撑下,药学理论教学的教学空间大为拓展,教学手段也得到了极大的丰富。本文简要概述了信息技术在促进医学教学中的优势,分析了药学网络信息在药学理论教学中的应用及存... 药学信息网络化是信息技术发展的产物,在计算机和互联网平台的支撑下,药学理论教学的教学空间大为拓展,教学手段也得到了极大的丰富。本文简要概述了信息技术在促进医学教学中的优势,分析了药学网络信息在药学理论教学中的应用及存在的问题,力图为教学中如何正确认识和利用网络信息资源,提升教学效果提供一些借鉴。 展开更多
关键词 信息技术 药学网络信息 药学理论教学 应用效果
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医院药学信息计算机网络系统动态控制管理设计和应用 被引量:7
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作者 许伟彬 梅松 王远超 《中国药房》 CAS CSCD 2001年第3期152-153,共2页
关键词 医院药学信息计算机网络系统 应用 动态控制管理 设计
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微机技术在医院药学信息及药品管理中的应用
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作者 王荣环 《天津医科大学学报》 1998年第4期95-96,共2页
尽管各大医院在使用计算机方面已较为普遍,但主要多应用于收费部门,而在药学信息及药品管理中则应用较少,致使在医院药房工作中仍经常存在一些不足之处。诸如:每次领药盘点都要耗时费力,极易出现差错;对不同厂家的药品价格调整不... 尽管各大医院在使用计算机方面已较为普遍,但主要多应用于收费部门,而在药学信息及药品管理中则应用较少,致使在医院药房工作中仍经常存在一些不足之处。诸如:每次领药盘点都要耗时费力,极易出现差错;对不同厂家的药品价格调整不够及时和统一,而工作人员靠脑力记药... 展开更多
关键词 医院药学 药品管理 微机 药学信息网络
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Network Pharmacology-based Analysis on the Molecular Biological Mechanisms of Xin Hui Tong Formula in Coronary Heart Disease Treatment 被引量:4
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作者 WU Hua-Ying ZHANG Chen +5 位作者 WANG Zhao-Hua ZHANG Shi-Ying LI Jing LI Feng HUANG Hui-Yong LI Liang 《Digital Chinese Medicine》 2019年第2期86-96,共11页
Objective To investigate the potential molecular mechanism of Xin Hui Tong Formula (XHTF) in the treatment of coronary heart disease (CHD) by using network pharmacology and bioinformatics. Methods The targets network ... Objective To investigate the potential molecular mechanism of Xin Hui Tong Formula (XHTF) in the treatment of coronary heart disease (CHD) by using network pharmacology and bioinformatics. Methods The targets network of CHD was constructed through Therapeutic Targets Database (TTD) and Drugbank database;The XHTF pharmacodynamic molecule-targets network and the XHTF pharmacodynamic molecule-CHD targets network were explored by the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP). And the multi-targets mechanism and molecular regulation network of XHTF in the treatment of CHD were explored from multiple perspectives by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) database pathway enrichment analysis. Results A total of 88 CHD targets were screened out through the Therapeutic Targets and the Drugbank database. 393 compounds and corresponding 205 drug targets of XHTF were retrieved from TCMSP. A total of 13 known targets directly related to the development of CHD were retrieved from the disease-related databases: TP53, MAPK14, NFKB1, HSPA5, PLG, PTGS2, ADRB1, NOS2, CYP3A4, GRIA2, CYP2A6, GRIA1, PTGS1. XHTF also contained 118 drug targets that directly interact with CHD targets. GO enrichment analysis showed that the biological processes of 13 direct targets proteins were found to be mainly enriched in response to drug, cellular response to biotic stimulus, long-chain fatty acid metabolic process, fatty acid metabolic process and regulation of blood pressure. KEGG pathway enrichment analysis found that XHTF participated in the CHD pathological process mainly through retrograde endocannabinoid signaling, regulation of lipolysis in adipocytes, cAMP signaling pathway, chemical carcinogenesis and other pathways. Conclusions XHTF plays a role in the treatment of CHD through multiple targets and multiple pathways, and provides a scientific basis for the theory of "virtual standard" in the treatment of CHD. 展开更多
关键词 Xin Hui Tong Formula (XHTF) Coronary heart disease Network pharmacology Network analysis BIOINFORMATICS
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Exploring the Action Mechanism of Yadanzi(Brucea javanica)in the Treatment of Glioblastoma Based on Bioinformatics and Network Pharmacology
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作者 Wenyu Zhao Fuchun Si 《Chinese Medicine and Natural Products》 2022年第2期67-76,共10页
ObjectiveThe aim of the study is to explore the molecular mechanism of Yadanzi(Brucea javanica)in the treatment of glioblastoma(GBM)by using the methods of bioinformatics and network pharmacology.Methods The Tradition... ObjectiveThe aim of the study is to explore the molecular mechanism of Yadanzi(Brucea javanica)in the treatment of glioblastoma(GBM)by using the methods of bioinformatics and network pharmacology.Methods The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and literature retrieval method were applied to obtain the active ingredients of Yadanzi(Brucea javanica),and to predict the relevant targets of the active ingredients.The GBM-related targets were retrieved and screened through the Gene Expression Profling Interactive Analysis(GEPIA)database,and mapped to each other with the targets of the components of Yadanzi(Brucea javanica)to obtain the intersection targets.The GBM differentially expressed gene targets were imported into the String database to obtain the protein interaction relationship,the Cytoscape software was used to draw the protein interaction network,the Cytobba and MCODE plug-ins were used to screen the core genes and important protein interaction modules,and the GEPIA database was applied to make survival analysis of the core genes.The network map of“active ingredients-targets”was constructed through the Cytoscape 3.6.1 software.Gene Ontology(GO)biological function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis for GBM differentially expressed genes were performed through the DAVID database.ResultsThrough TCMSP and literature retrieval,23 potential active ingredients and 129 related targets were obtained from Yadanzi(Brucea javanica).In the GEPIA database,247 GBM differentially expressed genes were screened,including 113 upregulated genes and 134 downregulated genes.After mapping with the targets related to the active ingredients of Yadanzi(Brucea javanica),six intersection targets were obtained,that is,the potential action targets of Yadanzi(Brucea javanica)in treating GBM,including MMP2,HMOX1,BIRC5,EGFR,CCNB2,and TOP2A.Cytoscape software was applied to build an“active ingredient-action target”network.Two active ingredients and five action targets of β-sitosterol(BS)and luteolin were found,and the targets were mainly concentrated in BS.It was found by KEGG pathway enrichment analysis that GBM differentially expressed genes were mainly involved in signaling pathways related to Staphylococcus aureus infection,phagosome formation,tuberculosis and systemic lupus erythematosus and other infectious and autoimmune diseases.It was found by GO enrichment analysis that the GBM differentially expressed genes mainly involved such biological processes(BP)as the processing and presentation of exogenous antigenic peptides and polysaccharide antigens through MHC Il molecules,y-interferon-mediated signaling pathways,extracellular matrix composition,and chemical synapses transmission;it involved cellular components such as cell junctions,axon terminal buttons,extracellular space,vesicle membranes for endocytosis,and MHC Il protein complexes;molecular functions such as calcium-mediated ionic protein binding,MHC Il molecular receptor activity,immunoglobulin binding,and phospholipase inhibitor activity were also involved.Survival analysis was conducted by GEPIA on the top 37 core targets in degree value,and a total of five genes related to GBM prognosis were obtained.Among them,FN1 and MMP2 were highly expressed while GABRD(v-aminobutyric acid A receptor delta subunit),RBFOX1,and SLC6A7 were expressed at a low level in cancer patients.Conclusion The pathogenesis of GBM is closely related to the human immune system,and BS and luteolin may be the main material basis of Yadanzi(Brucea javanica)for the treatment of GBM and the improvement of prognosis.The molecular mechanism may be related to the physical barrier formed by destroying the tumor cell stromal 68 Treatment of Glioblastoma Based on Bioinformatics and Network Pharmacology Zhao,Si.molecules and its involvement in tumor immune response. 展开更多
关键词 Yadanzi(Brucea javanica) GLIOBLASTOMA BIOINFORMATICS network pharmacology action mechanism
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