In the present study, the bioactive secondary metabolites from W. trilobata were explored to identify their inhibitory potential against the anti-apoptotic Bcl-2 protein associated with cancer cell survival and resistance by employing the in silico computational methods like—molecular docking, molecular dynamics simulation, and ADMET analysis). The gene discussed is BCL2; the disease is cancer.