Herbal Formula Science (대한한의학방제학회지)

The Korean Medicine Society for the Herbal Formula Study (대한한의학방제학회)
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Comparison of network pharmacology based analysis on White Ginseng and Red Ginseng

인삼(人蔘)과 홍삼(紅蔘)의 네트워크 약리학적 분석 결과 비교

  • Park, Sohyun (School of Korean Medicine, Pusan National University) ;
  • Lee, Byoungho (Inju Hospital of Korean Medicine) ;
  • Jin, Myungho (College of Korean Medicine, Dong-Eui University) ;
  • Cho, Suin (School of Korean Medicine, Pusan National University)
  • 박소현 (부산대학교 한의학전문대학원) ;
  • 이병호 (인주한방병원) ;
  • 진명호 (동의대학교 한의과대학) ;
  • 조수인 (부산대학교 한의학전문대학원)
  • Received : 2020.05.20
  • Accepted : 2020.08.18
  • Published : 2020.08.31
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Abstract

Objectives : Network pharmacology analysis is commonly used to investigate the synergies and potential mechanisms of multiple compounds by analyzing complex, multi-layered networks. We used TCMSP and BATMAN-TCM databases to compare results of network pharmacological analysis between White Ginseng(WG) and Red Ginseng(RG). Methods : WG and RG were compared with components and their target molecules using TCMSP database, and compound-target-pathway/disease networks were compared using BATMAN-TCM database. Results : Through TCMSP, 104 kinds of target molecules were derived from WG and 38 kinds were derived from RG. Using the BATMAN-TCM database, target pathways and diseases were screened, and more target pathways and diseases were screened compared to RG due to the high composition of WG ingredients. Analysis of component-target-pathway/disease network using network analysis tools provided by BATMAN-TCM showed that WG formed more networks than RG. Conclusions : Network pharmacology analysis can be effectively performed using various databases used in system biology research, and although the materials that have been reported in the past can be used efficiently for research on diseases related to targets, the results are unreliable if prior studies are focused on limited or narrow research areas.

Keywords

References

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