{"title":"Quantitative Structure-Cytotoxicity Relationships of Sesquiterpene Lactones derived from partial charge (Q)-based fractional Accessible Surface Area Descriptors (Q_frASAs)","authors":"T. Schmidt, J. Heilmann","doi":"10.1002/1521-3838(200208)21:3<276::AID-QSAR276>3.0.CO;2-S","DOIUrl":null,"url":null,"abstract":"In continuation of a previous QSAR study on the cytotoxicity of 20 sesquiterpene lactones (STLs) of the helenanolide type towards a mouse tumor cell line where a very strong correlation of activity with only two indicator variables encoding the nature of the present alpha ,beta -unsatd. carbonyl structure elements (cyclopentenone and alpha -methylene-gamma -lactone structure) was found, it was the major goal of this study to establish a QSAR model for a set of STLs with wider structural variability. Cytotoxicity towards the human KB cervix carcinoma cell line was exptl. detd. for a set of 40 STLs representing five different structural groups 2 germacranolides, 6 guaianolides, 23 pseudoguaianolides, 8 eudesmanolides and 1 carabranolide (cyclopropane type xanthanolide) and the resulting IC50 values were submitted to a QSAR study using the mol. modeling program MOE. As major result it could be shown that variance in STL cytotoxicity data can be explained to a high degree by electronic and surface properties. QSAR models of considerable internal and external predictivity could be obtained by PCR and PLS anal. of a descriptor set representing fractional accessible mol. surface areas (Q_frASAs). This set of descriptors is calcd. by partitioning the mol. surface accessible to a spheric probe of radius 1.4 .ANG. into fractions attributable to atoms within 14 charge intervals from -0.3 to 0.3 e. The applicability of such Q_frASA descriptors is validated by anal. of several sets of literature data, yielding QSAR models of good statistical quality. It is therefore assumed that Q_frASA descriptors may be of wider applicability in QSAR and QSPR.","PeriodicalId":20818,"journal":{"name":"Quantitative Structure-activity Relationships","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Structure-activity Relationships","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/1521-3838(200208)21:3<276::AID-QSAR276>3.0.CO;2-S","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 34
Abstract
In continuation of a previous QSAR study on the cytotoxicity of 20 sesquiterpene lactones (STLs) of the helenanolide type towards a mouse tumor cell line where a very strong correlation of activity with only two indicator variables encoding the nature of the present alpha ,beta -unsatd. carbonyl structure elements (cyclopentenone and alpha -methylene-gamma -lactone structure) was found, it was the major goal of this study to establish a QSAR model for a set of STLs with wider structural variability. Cytotoxicity towards the human KB cervix carcinoma cell line was exptl. detd. for a set of 40 STLs representing five different structural groups 2 germacranolides, 6 guaianolides, 23 pseudoguaianolides, 8 eudesmanolides and 1 carabranolide (cyclopropane type xanthanolide) and the resulting IC50 values were submitted to a QSAR study using the mol. modeling program MOE. As major result it could be shown that variance in STL cytotoxicity data can be explained to a high degree by electronic and surface properties. QSAR models of considerable internal and external predictivity could be obtained by PCR and PLS anal. of a descriptor set representing fractional accessible mol. surface areas (Q_frASAs). This set of descriptors is calcd. by partitioning the mol. surface accessible to a spheric probe of radius 1.4 .ANG. into fractions attributable to atoms within 14 charge intervals from -0.3 to 0.3 e. The applicability of such Q_frASA descriptors is validated by anal. of several sets of literature data, yielding QSAR models of good statistical quality. It is therefore assumed that Q_frASA descriptors may be of wider applicability in QSAR and QSPR.