Oyebamiji AKMutiu OAAmao FAOyawoye OMOyedepo TAAdeleke BBSemire B2022-07-272022-07-27202110.1016/j.dib.2020.1067032352-3409https://nerd.ethesis.ng/handle/123456789/399Data in BriefIn this work, ten molecular compounds were optimised using density functional theory (DFT) method via Spartan 14. The obtained descriptors were used to develop quantitative structural activities relationship (QSAR) model using Gretl and Matlab software and the similarity between predicted IC50 and observed IC50 was investigated. Also, docking study revealed the non-bonding interactions between the studied compounds and the receptor. The molecular interactions between the observed ligands and brain cancer protein (PDB ID: 1q7f) were investigated. Adsorption, distribution, metabolism, excretion and toxicity (ADMET) properties were also investigated.enTriazoleGlioblastomaInhibitorsDFTQSARDockingADMETArticle