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Exploring quantitative structure–activity relationship (QSAR) models for some biologically active catechol structures using PC-LS-SVM and PC-ANFIS

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Exploring predictive QSAR models for dopamine catechol structures could be used in designing more potent ligands. In this study, efforts were taken to find out the most important molecular features responsible for the biological activity of catechol structures. All 2D descriptors of Dragon including constitutional, topological, molecular walk counts, BCUT descriptors, Galvez topological, 2D autocorrelations, functional groups, atom-centred fragments, empirical descriptors and properties were calculated for the structures. Two non-linear modelling methods (PC-LS-SVM and PC-ANFIS) were used and compared in this QSAR study. The results revealed the more predictive ability of PC-LS-SVM in the QSAR analysis of the compounds with catechol substructure. The roles of topological properties and number of hydrogen bond donors group as molecular features responsible for the activity of the compounds were discussed. The obtained QSAR models can be used in future studies of drug development for human dopamine D2 receptor.

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This manuscript was a report of research project (1579) performed at Shahid Sadoughi university of Medical Sciences,Yazd, Iran. The authors would like to aknowledge council of research at Shiraz University of Medical Sciences for support. The authors would like to thank Nazanin Bagherzadeh for her kind contribution in language editing of the manuscript.

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Correspondence to Amirhossein Sakhteman.

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Khoshneviszadeh, M., Sakhteman, A. Exploring quantitative structure–activity relationship (QSAR) models for some biologically active catechol structures using PC-LS-SVM and PC-ANFIS. Appl Biol Chem 59, 433–441 (2016).

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