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ABSTRACT: Background
The increasing global incidence of breast cancer calls for the identification of new therapeutic targets and the assessment of possible neem-derived inhibitors by means of computational modeling and integrated genomic research.Methods
Originally looking at 59,424 genes throughout 42 samples, we investigated gene expression data from The Cancer Genome Atlas-Breast Cancer (TCGA-BRCA) dataset. We chose 286 genes for thorough investigation following strict screening for consistent expression. R's limma package was used in differential expression analysis. The leading candidate's protein modeling was done with Swiss-ADME and Discovery Studio. Molecular docking studies, including 132 neem compounds, were conducted utilizing AutoDock Vina.Results
Among the 286 e
SUBMITTER: Agboola OE
PROVIDER: S-EPMC12111084 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature