000			a
999			_c15528 _d15528
003			OSt
005			20211122093127.0
008			211122b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_914701 _aXiao, Wen-ping
245			_aNetwork Pharmacology-based on the Active Components and Molecular Mechanisms of Andrographis paniculata (Burm. f.) Wall. ex Nees in Treating Inflammation
250			_aVol.55(3), Jul-Sep
260			_aBanagalore _bAssociation of Pharmaceutical Teachers of India (APTI) _c2021
300			_a765-773p.
520			_aBackground: Andrographis paniculata (Burm. f.) Wall. ex Nees (AP) is a medicinal plant traditionally used as anti-inflammation and anti-bacteria. The role of AP in inflammation has been evaluated in several studies. But, the exact mechanism is unclear. In the present study, network pharmacology was used to explore the anti-inflammation constituents of AP and its anti-inflammation mechanism. Materials and Methods: The chemical components of AP. were screened by TCMSP database, in combination with literature. The effective compounds were filtrated by drug likeness and pharmacokinetic characteristics (ADMET). The target genes of effective compounds were predicted by Swisspredict database. The anti-inflammation genes were found in databases, and antiinflammation related target genes were screened by comparison. The functions of target genes and related pathways were analyzed and screened by database, the Component- Target-Pathways network of anti-inflammation effect of AP was established by using Cytoscape software. AutoDock was used to verify the molecular docking between the molecule and the target. Results: The research showed that the anti-inflammatory effective ingredients in AP were moslosooflavone, rographidine F_qt, rographin, 14-deoxy- 11-oxo-andrographolide, mono-O-methylwightin. The mechanisms were involved in PI3k- Akt signaling pathway, Neuroactive ligand-receptor interaction, Measles and so on. The top 3 targets were PIK3CG, PIK3CA and PIK3CD and they were all enriched in PI3k- Akt signaling pathway. Molecular docking showed that the five components had high binding activity with the screened target proteins, which provided further verification for subsequent network analysis. Conclusion: The anti-inflammatory activity mechanism of AP was characterized by multiple components, multiple targets and multiple pathways. The results of network pharmacology can provide certain scientific basis for subsequent experimental research.
650		0	_94639 _aPHARMACEUTICS
700			_914702 _a Zhang, Wan-ju
773	0		_tIndian journal of pharmaceutical education and research _dBengluru Association of Pharmaceutical Teachers of India (APTI) _x0019-5464
856			_uhttps://www.ijper.org/sites/default/files/IndJPhaEdRes-55-3-765.pdf _yClick here
942			_2ddc _cAR