2026-10-30T01:52:00Zhttps://bayburt-rdlopen.rawdatalibrary.net/oai/request

oai:bayburt-rdlopen.rawdatalibrary.net:bayburt/124232026-10-29T19:42:27Zopenairecom_bayburt_10000col_bayburt_10001com_bayburt_10007col_bayburt_10218

Structure'activity relationships and quantitative structure'activity relationships modeling of some 3-(aryl)-N-(aryl)-1,2,4-Oxadiazol-5-Amine derivatives as anti-proliferative agentsBelaidi, SalahKerassa, AichaLanez, TouhamiCinar, Mehmet1,2,4-Oxadiazole-5-AmineAnti-Proliferative ActivityMLRQSAR ModelQuantitative 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.American Scientific Publishers2015Articlehttps://rdlopen.rawdatalibrary.net/r/bayburt/12423https://doi.org/10.1166/jctn.2015.39991546-1955enJournal of Computational and Theoretical Nanoscienceinfo:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/articlehttps://bayburt-rdlopen.rawdatalibrary.net/tr/items/bayburt/12423