目的建立基于骨质疏松症遗传相关基因的蛋白质相互作用网络,发现其中其中包含的分子复合物和未经研究或研究较少的与骨质疏松症相关的蛋白质。方法基于OMIM数据库中与骨质疏松症发生相关的177个遗传基因,应用Cytoscape软件及其插件Agile...目的建立基于骨质疏松症遗传相关基因的蛋白质相互作用网络,发现其中其中包含的分子复合物和未经研究或研究较少的与骨质疏松症相关的蛋白质。方法基于OMIM数据库中与骨质疏松症发生相关的177个遗传基因,应用Cytoscape软件及其插件Agilent Literature Search,进行PUBMED文献的文本数据挖掘,建立骨质疏松症的蛋白质相互作用网络;应用MCOMD算法,探测网络中的分子复合物,并对分子复合物包含的蛋白质进行GO分析,分析包括分子功能、生物学通路、细胞组分。结果骨质疏松症的蛋白质相互作用网络包含863个节点(蛋白质)、2925条边(相互作用关系)、4个高度关联的分子复合物。这些分子复合物内的18个蛋白质与骨质疏松症的关系未经研究或研究较少。结论基于OMIM数据库,可建立骨质疏松症的蛋白质相互作用网络,发现未经研究或研究较少的骨质疏松症关联蛋白质。展开更多
The interaction between drug molecules and target proteins is the basis of pharmacological action.The pharmacodynamic mechanism of Chinese medicinal plants for chronic kidney disease(CKD) was studied by molecular dock...The interaction between drug molecules and target proteins is the basis of pharmacological action.The pharmacodynamic mechanism of Chinese medicinal plants for chronic kidney disease(CKD) was studied by molecular docking and complex network analysis.It was found that the interaction network of components-proteins of Chinese medicinal plants is different from the interaction network of components-proteins of drugs.The action mechanism of Chinese medicinal plants is different from that of drugs.We also found the interaction network of components-proteins of tonifying herbs is different from the interaction network of components-proteins of evil expelling herbs using complex network research approach.It illuminates the ancient classification theory of Chinese medicinal plants.This computational approach could identify the pivotal components of Chinese medicinal plants and their key target proteins rapidly.The results provide data for development of multi-component Chinese medicine.展开更多
文摘目的建立基于骨质疏松症遗传相关基因的蛋白质相互作用网络,发现其中其中包含的分子复合物和未经研究或研究较少的与骨质疏松症相关的蛋白质。方法基于OMIM数据库中与骨质疏松症发生相关的177个遗传基因,应用Cytoscape软件及其插件Agilent Literature Search,进行PUBMED文献的文本数据挖掘,建立骨质疏松症的蛋白质相互作用网络;应用MCOMD算法,探测网络中的分子复合物,并对分子复合物包含的蛋白质进行GO分析,分析包括分子功能、生物学通路、细胞组分。结果骨质疏松症的蛋白质相互作用网络包含863个节点(蛋白质)、2925条边(相互作用关系)、4个高度关联的分子复合物。这些分子复合物内的18个蛋白质与骨质疏松症的关系未经研究或研究较少。结论基于OMIM数据库,可建立骨质疏松症的蛋白质相互作用网络,发现未经研究或研究较少的骨质疏松症关联蛋白质。
基金supported by the Natural Science Foundation of Guangdong Province (9151063201000050)Foundation of Administration of Traditional Chinese Medicine of Guangdong Province (2008334)Major Program of Science and Technique Project of Guangdong Province (2009A030100006)
文摘The interaction between drug molecules and target proteins is the basis of pharmacological action.The pharmacodynamic mechanism of Chinese medicinal plants for chronic kidney disease(CKD) was studied by molecular docking and complex network analysis.It was found that the interaction network of components-proteins of Chinese medicinal plants is different from the interaction network of components-proteins of drugs.The action mechanism of Chinese medicinal plants is different from that of drugs.We also found the interaction network of components-proteins of tonifying herbs is different from the interaction network of components-proteins of evil expelling herbs using complex network research approach.It illuminates the ancient classification theory of Chinese medicinal plants.This computational approach could identify the pivotal components of Chinese medicinal plants and their key target proteins rapidly.The results provide data for development of multi-component Chinese medicine.
