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Probing the origins of anticancer activity of chrysin derivatives

dc.contributor.authorApilak Worachartcheewanen_US
dc.contributor.authorChanin Nantasenamaten_US
dc.contributor.authorChartchalerm Isarankura-Na-Ayudhyaen_US
dc.contributor.authorVirapong Prachayasittikulen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-11-23T09:56:57Z
dc.date.available2018-11-23T09:56:57Z
dc.date.issued2015-05-01en_US
dc.description.abstract© 2014 Springer Science+Business Media New York. Abstract Chrysin is a derivative of flavonoid, a natural product commonly found in plants. It has been shown to afford a wide variety of pharmacological activities particularly anticancer properties. In this study, 21 chrysin derivatives with anticancer activities against human gastric adenocarcinoma (SGC-7901) and human colorectal adenocarcinoma (HT-29) cell lines were employed for quantitative structure-activity relationship (QSAR) investigation. Molecular structures were geometrically optimized at the B3LYP/6-311++g(d,p) level and their quantum chemical and molecular properties were obtained from Gaussian 09 and Dragon softwares, respectively. Significant descriptors for modeling the anticancer activities of SGC-7901 (i.e., SIC2, Mor11e, P2p, HTp, and R5e+) and HT-29 (i.e., L/Bw, BIC2, and Mor19p) cell lines were deduced from stepwise multiple linear regression (MLR) method. QSAR models were constructed using MLR and their predictivities were verified via internal (i.e., leave one-out cross-validation; LOO-CV) and external sets. The predictive performance was evaluated from their squared correlation coefficients (R 2 and Q 2) and root mean square error (RMSE). Results indicated good correlation between experimental and predicted anticancer activities as deduced from statistical parameters of internal and external sets as follows: R Tr2=0.8778, RMSETr=0.0854, Q CV2=0.7315, RMSECV=0.1375, Q Ext2=0.7324, and RMSEExt=0.1168 for QSAR models of SGC-7901 while R Tr2=0.8201, RMSETr=0.1293, Q CV2=0.6829, RMSECV=0.1735, Q Ext2=0.8486, and RMSEExt=0.1179 for QSAR models of HT-29. Furthermore, the obtained QSAR models provided pertinent insights on the structure-activity relationship of investigated compounds where molecular properties such as shape, electronegativities and polarizabilities were crucial for anticancer activity. The knowledge gained from the constructed QSAR models could serve as guidelines for the rational design of novel chrysin derivatives with potent anticancer activity.en_US
dc.identifier.citationMedicinal Chemistry Research. Vol.24, No.5 (2015), 1884-1892en_US
dc.identifier.doi10.1007/s00044-014-1260-1en_US
dc.identifier.issn15548120en_US
dc.identifier.issn10542523en_US
dc.identifier.other2-s2.0-84939979403en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/35751
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84939979403&origin=inwarden_US
dc.subjectChemistryen_US
dc.titleProbing the origins of anticancer activity of chrysin derivativesen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84939979403&origin=inwarden_US

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