DOI QR코드

DOI QR Code

한의학 이론 연구를 위한 새로운 방법: 네트워크 약리학을 활용한 약물중심 접근법

A Novel Method to Investigating Korean Medicine Theory : Drug-centered Approach Employing Network Pharmacology

  • 이원융 (가천대학교 한의과대학 생리학교실) ;
  • 김창업 (가천대학교 한의과대학 생리학교실) ;
  • 이충열 (가천대학교 한의과대학 생리학교실)
  • Lee, Won Yung (Department of Physiology, College of Korean Medicine, Gachon University) ;
  • Kim, Chang Eop (Department of Physiology, College of Korean Medicine, Gachon University) ;
  • Lee, Choong Yeol (Department of Physiology, College of Korean Medicine, Gachon University)
  • 투고 : 2021.10.05
  • 심사 : 2021.10.22
  • 발행 : 2021.10.25

초록

The scientific understanding of Korean medicine theory remains largely unknown, since there is a lack of proper methods to investigate its complex and unique characteristics. Here, we introduce a drug-centered approach, a novel method to investigate Korean medicine theory by analyzing the mechanisms of herbal medicines. This method can be effectively conducted by employing network pharmacology that can analyze the systems-level mechanisms of herbal medicines on a large scale. Firstly, we introduce the method of network pharmacology that are applied to analyze the mechanisms of herbal medicines in a step-by-step manner. Then, we show how the drug-centered approach employing network pharmacology can be applied to investigate Korean medicine theory by describing studies that identify the biological correlates of the cold-hot nature of herbs, spleen qi deficiency syndrome, or Sasang constitution. Finally, we discuss the limitations and future directions of the proposed approach in two aspects: The methods of network pharmacology for a drug-centered approach and the process of inferring Korean medicine theory through it. We believe that a drug-centered approach employing network pharmacology will provide an advanced scientific understanding of Korean medicine theory and contribute to its development by generating biologically plausible hypothesis.

키워드

과제정보

본 연구는 보건복지부의 재원으로 한국보건산업진흥원의 보건의료기술 연구개발사업 지원(HF20C0087), 그리고 과학기술정보통신부의 재원으로 한국연구재단의 지원(2017R1C1B5018100)을 받아 수행된 연구임.

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