中药网络药理学药效成分筛选与靶标预测的研究进展
摘要
药效成分筛选与靶标预测是中药网络药理学研究的核心内容之一,本文就现阶段常用的网络药理学分析服务器、中药化学成分数据库、靶标预测技术等数据平台的使用方法、细节要点进行对比分析,并对其在中药网络药理学研究中的应用现状进行综述,以供研究人员参考。
引文
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[13]程肖蕊,周文霞,张永祥.网络药理学实验研究相关技术[J].中国药理学与毒理学杂志,2012,26(2):131-137.
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[19]欧阳子博. Herb BioMap2. 0数据库平台构建与挖掘[D].北京:清华大学,2014.
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[22]霍晓乾,谷宇,张燕玲.基于网络药理学的大黄利胆片的作用机制研究[J].中国中药杂志,2018,43(13):2770-2776.
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[25] Perlman L,Gottlieb A,Atias N,et al. Combining drug and gene similarity measures for drug-target elucidation[J].J Comput Biol,2011,18(2):133-145.
[26]霍梦琪,张燕玲,郑世超,等.基于共表达蛋白相互作用网络探讨川芎嗪治疗冠心病的机制[J]北京中医药大学学报,2016,39(12):989-997.
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[31] Luo H,Chen J,Shi L M,et al. DRAR-CPI:a server foridentifying drug repositioning potential and adverse drugreactions via the chemical-protein interactome[J]. Nucleic Acids Res,2011,39:W492-W498.
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[35]黄勇,陈晨,张志毅,等. Autodock Vina与Discovery Studio在虚拟筛选耐药蛋白抑制剂中的比较[J].生物信息学,2012,10(4):248-253.
[36] Zhao S,Li S. Network-based relating pharmacological and genomic spaces for drug target identification[J]. PLoS One,2010,5(7):e11764.
[37] Liu Z,Guo F,Wang Y,et al. BATMAN-TCM:a bioinformatics analysis tool for molecular mechanism of traditional Chinese medicine[J]. Sci Rep,2016,6:21146.
[38] Wang L,Ma C,Wipf P,et al. Target Hunter:An in silico target identification tool for predicting therapeutic potential of small organic molecules based on chemogenomic database[J].AAPS J,2013,15(2):395-406.
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