Glioblastoma (GBM) is a WHO Grade IV tumor with poor visibility, a high risk of comorbidity, and limited treatment options. Resurfacing from second-rate glioma was originally classi ed as either mandatory or optional. Recent interest in personalized medicine has motivated research toward biomarker strati cation-based individualized illness therapy. GBM biomarkers have been investigated for their potential utility in prognostic strati cation, driving the development of targeted therapy, and customizing therapeutic treatment. Due to the availability of a speci c EGFRvIII mutational variation with a clear function in glioma-genesis, recent research suggests that EGFR has the potential to be a prognostic factor in GBM, while others have shown no clinical link between EGFR and survival. The pre-existing pharmaceutical lapatinib (PubChem ID: 208908) with a higher a nity score is used for Structure-based Virtual Screening. As a result, the current study revealed a newly screened chemical (PubChem CID: 59671768) with a higher a nity than the previously known molecule. When the two compounds are compared, the former has the lowest re-rank score. The time-resolved features of a virtually screened chemical and an established compound were investigated using Molecular Dynamics Simulation. Both compounds are equivalent, according to the ADMET study. This report implies that the virtual screened chemical could be a promising Glioblastoma therapy.

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