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
Kim, Sang-Jin (Department of Cosmetic Science, Daejeon Health Sciences College) Myung, Pyung-Keun (College of Pharmacy, Chungnam National University) Sung, Nack-Do (Division of Applied Biology and Chemistry, College of Agriculture and Life Science, Chungnam National University)
저널정보
대한약학회 Archives of pharmacal research : a publication of the Pharmaceutical Society of Korea Archives of pharmacal research : a publication of the Pharmaceutical Society of Korea 제31권 제12호
발행연도
2008.1
수록면
1,540 - 1,546 (7page)

이용수

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

이 논문의 연구 히스토리 (3)

초록· 키워드

오류제보하기
To predict a new materials of superior melanogenesis inhibitory activities (MIA), the comparative molecular field analysis (CoMFA) models on MIA of alkyl-3,4-dihydroxybenzoates and N-alkyl-3,4-dihydroxybenzamides analogues against mouse melanoma cell were derived and discussed quantitatively. The optimized CoMFA model II from the field fit alignment demonstrated better predictability of molecular structure with the non-cross validated conventional coefficient ($r^2{_{ncv.}}$=0.984) and cross-validated coefficient ($r^2{_{cv.}}$ or q=0.706) than that from atom based fit alignment. Also, the relative contribution of the optimized CoMFA model II showed the steric (63.8%), electrostatic (18.4%), and hydrophobic (ClogP) field (17.8%), respectively. The results indicated that the esters (alkyl-3,4-dihydroxybenzoates) are more active inhibitors than the amides (N-alkyl-3,4-dihydroxybenzamides). Furthermore, the optimized CoMFA model II is proven to be a useful approach to design a highly active melanogenesis inhibitor molecules, and enables to predict $R_1$=n-dodecy and $R_2$=n-heptyloxy substituted compound of alkyl-3,4-dihydroxybenzoates as the most active compounds (Pred. $pI_{50}$=5.87).

목차

등록된 정보가 없습니다.

참고문헌 (0)

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