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Prediction of the anti-inflammatory mechanisms of curcumin by module-based protein interaction network analysis 被引量:5
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作者 yanxiong gan Shichao Zheng +5 位作者 Jan P.A.Baak Silei Zhao Yongfeng Zheng Nini Luo Wan Liao Chaomei Fu 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2015年第6期590-595,共6页
Curcumin,the medically active component from Curcuma longa(Turmeric),is widely used to treat inflammatory diseases.Protein interaction network(PIN) analysis was used to predict its mechanisms of molecular action.Targe... Curcumin,the medically active component from Curcuma longa(Turmeric),is widely used to treat inflammatory diseases.Protein interaction network(PIN) analysis was used to predict its mechanisms of molecular action.Targets of curcumin were obtained based on ChE MBL and STITCH databases.Protein–protein interactions(PPIs) were extracted from the String database.The PIN of curcumin was constructed by Cytoscape and the function modules identified by gene ontology(GO) enrichment analysis based on molecular complex detection(MCODE).A PIN of curcumin with 482 nodes and 1688 interactions was constructed,which has scale-free,small world and modular properties.Based on analysis of these function modules,the mechanism of curcumin is proposed.Two modules were found to be intimately associated with inflammation.With function modules analysis,the anti-inflammatory effects of curcumin were related to SMAD,ERG and mediation by the TLR family.TLR9 may be a potential target of curcumin to treat inflammation. 展开更多
关键词 CURCUMIN Protein interaction network MODULE ANTI-INFLAMMATORY Molecular mechanism Gene ontology enrichment analysis Molecular complex detection Cytoscape
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