Publication:
Insights into antioxidant activity of 1-adamantylthiopyridine analogs using multiple linear regression

dc.contributor.authorApilak Worachartcheewanen_US
dc.contributor.authorChanin Nantasenamaten_US
dc.contributor.authorWiwat Owasirikulen_US
dc.contributor.authorTeerawat Monnoren_US
dc.contributor.authorOrapan Naruepantawarten_US
dc.contributor.authorSayamon Janyapaisarnen_US
dc.contributor.authorSupaluk Prachayasittikulen_US
dc.contributor.authorVirapong Prachayasittikulen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-11-09T02:06:29Z
dc.date.available2018-11-09T02:06:29Z
dc.date.issued2014-02-12en_US
dc.description.abstractA data set of 1-adamantylthiopyridine analogs (1-19) with antioxidant activity, comprising of 2,2-diphenyl-1-picrylhydrazyl (DPPH) and superoxide dismutase (SOD) activities, was used for constructing quantitative structure-activity relationship (QSAR) models. Molecular structures were geometrically optimized at B3LYP/6-31g(d) level and subjected for further molecular descriptor calculation using Dragon software. Multiple linear regression (MLR) was employed for the development of QSAR models using 3 significant descriptors (i.e. Mor29e, F04[N-N] and GATS5v) for predicting the DPPH activity and 2 essential descriptors (i.e. EEig06r and Mor06v) for predicting the SOD activity. Such molecular descriptors accounted for the effects and positions of substituent groups (R) on the 1-adamantylthiopyridine ring. The results showed that high atomic electronegativity of polar substituent group (R = CO2H) afforded high DPPH activity, while substituent with high atomic van der Waals volumes such as R = Br gave high SOD activity. Leave-one-out cross-validation (LOO-CV) and external test set were used for model validation. Correlation coefficient (QCV) and root mean squared error (RMSECV) of the LOO-CV set for predicting DPPH activity were 0.5784 and 8.3440, respectively, while QExtand RMSEExtof external test set corresponded to 0.7353 and 4.2721, respectively. Furthermore, QCVand RMSECVvalues of the LOO-CV set for predicting SOD activity were 0.7549 and 5.6380, respectively. The QSAR model's equation was then used in predicting the SOD activity of tested compounds and these were subsequently verified experimentally. It was observed that the experimental activity was more potent than the predicted activity. Structure-activity relationships of significant descriptors governing antioxidant activity are also discussed. The QSAR models investigated herein are anticipated to be useful in the rational design and development of novel compounds with antioxidant activity. © 2013 Published by Elsevier Masson SAS. All rights reserved.en_US
dc.identifier.citationEuropean Journal of Medicinal Chemistry. Vol.73, (2014), 258-264en_US
dc.identifier.doi10.1016/j.ejmech.2013.11.038en_US
dc.identifier.issn17683254en_US
dc.identifier.issn02235234en_US
dc.identifier.other2-s2.0-84891843756en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/33634
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84891843756&origin=inwarden_US
dc.subjectChemistryen_US
dc.subjectPharmacology, Toxicology and Pharmaceuticsen_US
dc.titleInsights into antioxidant activity of 1-adamantylthiopyridine analogs using multiple linear regressionen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84891843756&origin=inwarden_US

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