메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
김상균 (한국한의학연구원 미병연구단) 이승호 (한국한의학연구원 미병연구단) 김안나 (한국한의학연구원 미병연구단)
저널정보
대한본초학회 대한본초학회지(본초분과학회지) 대한본초학회지 제31권 제5호
발행연도
2016.1
수록면
55 - 62 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Objective : TM-MC was constructed to provide information on the chemical compounds of medicinal plant materials which were listed in Korean, Chinese, and Japanese pharmacopoeias. The aim of this study was to compare of the chemical compounds of TM-MC with those of domestic pharmacopoeias.Methods : First of all, TM-MC was updated on medicinal materials and chemical compounds which were extracted from articles up to the PubMed identifier of 26 millions. After searching for medicinal plant materials with information on their major compounds in Korean pharmacopoeias, we identified that the information on medicinal materials and chemical compounds were also existed in TM-MC. Then, we figured out how much the compounds have been studied by counting the number of articles for those compounds in TM-MC.Results : Information on 9 medicinal materials and about 1,700 compounds was newly added to TM-MC after manually curating 645 articles. Korean pharmacopoeias contained a total of 91compounds from 53 medicinal plant materials, while TM-MC provided information on the 89 compounds from the 53 medicinal materials in Korean pharmacopoeias. The compounds stated in Korean pharmacopoeias has been much studied by comparison with other compounds of each medicinal material in TM-MC.Conclusion : Most of chemical compounds stated in Korean pharmacopoeias were also listed in TM-MC, excluding two compounds. Thus, we concluded that information in TM-MC is mostly consistent with that of Korean pharmacopoeias. In the future, we will periodically update TM-MC with articles added to the MEDLINE.

목차

등록된 정보가 없습니다.

참고문헌 (16)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0