Identifying multi-component drugs with an integrated natural product database = 천연물 통합 데이터베이스 구축을 통한 복합성분 약물 추론

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Traditional natural products have emerged as a valuable source of drug development due to their suitability to polypharmacology and empirical knowledge about their efficacy and safety. But conventional databases of the traditional natural products have limitations with respect to compatibility and manageability.The objective of this research is to identify multi-component drugs from traditional natural products. For the purpose, we constructed an integrated database of traditional natural products, Material-Efficacy Matrix Database (MEMDB). The database has enhanced compatibility by mapping herbs and molecular components to international identifiers, and improved manageability by structuralizing the functional information of prescriptions and herbs though text-mining methods. Employing the constructed database, we identified multi-component drugs for 12 target phenotypes respectively. Concretely, essential combinations of molecular components were inferred as candidate drugs with an association rule mining method. The results were validated indirectly by evaluating their explanatory power for herbs’ effect on target phenotypes. As a case study, it was shown that the results for diabetes mellitus are consistent with previous studies.
Advisors
Lee, Do-Heonresearcher이도헌
Description
한국과학기술원 : 바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2014
Identifier
568898/325007  / 020123748
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2014.2, [ iv, 41 p. ]

Keywords

natural product; 연관규칙 분석; 텍스트마이닝; 데이터베이스; 전통의학; 천연물; traditional medicine; database; text-mining; association rule mining

URI
http://hdl.handle.net/10203/196330
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=568898&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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