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2015 ; 5
(6
): 590-5
Nephropedia Template TP
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Prediction of the anti-inflammatory mechanisms of curcumin by module-based
protein interaction network analysis
#MMPMID26713275
Gan Y
; Zheng S
; Baak JP
; Zhao S
; Zheng Y
; Luo N
; Liao W
; Fu C
Acta Pharm Sin B
2015[Nov]; 5
(6
): 590-5
PMID26713275
show ga
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 ChEMBL 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.