Belaidi S.Kerassa A.Lanez T.Cinar M.20.04.20192019-04-2020.04.20192019-04-2020151546-1955https://dx.doi.org/10.1166/jctn.2015.3999https://hdl.handle.net/20.500.12403/765Quantitative structure activity relationship studies were performed on a series of 3-(aryl)-N-(aryl)- 1,2,4-oxadiazol-5-amines as anti-proliferative agents, multiple linear regression analysis was performed to derive quantitative structure activity relationship models which were further evaluated internally for the prediction of activity. The developed models were cross-validated by the 'leave one out' technique as well as by the calculation of statistical parameters. The best QSAR model i.e., model-2 (R2 = 0 906, Fischer's test value F = 12066) has acceptable statistical quality and predictive potential as indicated by the value of cross validated squared correlation coefficient (q2 = 0 907). The present investigation indicates the importance of the quantum chemical descriptors, constitutional descriptors and hydrophobicity to study the anti-proliferative activity. © 2015 American Scientific Publishers All rights reserved.eninfo:eu-repo/semantics/closedAccess1,2,4-Oxadiazole-5-AmineAnti-Proliferative ActivityMLRQSAR ModelLinear regressionMolecular graphicsQuantum chemistryRegression analysisStructures (built objects)1,2,4-Oxadiazole-5-AmineAnti-proliferative activitiesMLRMultiple linear regression analysisQSAR modelQuantitative structure activity relationshipQuantitative structure activity relationship studiesSquared correlation coefficientsComputational chemistry1,2,4-Oxadiazole-5-AmineAnti-Proliferative ActivityMLRQSAR ModelLinear regressionMolecular graphicsQuantum chemistryRegression analysisStructures (built objects)1,2,4-Oxadiazole-5-AmineAnti-proliferative activitiesMLRMultiple linear regression analysisQSAR modelQuantitative structure activity relationshipQuantitative structure activity relationship studiesSquared correlation coefficientsComputational chemistryArticle1292127213310.1166/jctn.2015.39992-s2.0-84946078657Q4WOS:000365412900020Q2