Primary Screening of QSAR Descriptors to Determine Biological Activities of Stilbene Derivatives

스틸벤유도체의 생물활성도를 예측하기 위한 QSAR 분자표현자의 검색방법에 관한 연구

  • 김재현 (동덕여자대학교 자연과학대학 보건관리학과) ;
  • 고동수 (동덕여자대학교 자연과학대학 응용화학과) ;
  • 엄애선 (한양대학교 생활과학대학 식품영양학과)
  • Published : 2001.09.01

Abstract

The predictive screening of various molecular descriptors for predicting cyclooxygenase inhibitor, lipooxygenase inhibitor, leucotriene synthesis inhibitor, leucotriene antagonist activities of Stilbene moieties have been investigated for the application of quantitative structure-activity relationships (QSAR). The biological activities for 36 compounds were computed by the PASS program and molecular descriptors are cited from literatures or calculated, to investigate feasibility of screening relevant descriptors and of their applications among biological endpoints. Fairly good correlations varying from 0.7828 to 0.9032 were obtained using 12 descriptors with 29 Stilbene derivatives and 5 diazo-compounds. Our studies reveal that LogKow, electron density(X), electron density (Y),4th-order valence connectivity and water solubility can be usefully employed to predict biological activities of stilbene derivatives with simple regression models.

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