Lung cancer causes over 2.2 million cases and 1.8 million deaths annually, and the survival rate remains dismal despite therapeutic advancements, highlighting the urgent need for novel drugs. Current single-target treatments are often ineffective due to complex cancer mechanisms and rapid resistance, underscoring the necessity for multitargeted drugs which target multiple pathways simultaneously, enhance therapeutic outcomes, reduce resistance, and significantly improve patient survival. Our study has innovative strategies imperative to achieve these goals and revolutionise lung cancer treatment. In this study, we downloaded the Lung Cancer BioAssays from ChEMBL, categorised them in Active and Inactive, and selected the Active to preprocess, followed by preparing with LigPrep for docking and chosen transferase, and hydrolase proteins (EGFR, ALK, TrkA and KRAS) involved in lung cancer pathways and docked them which identified the best candidate among Active BioAssays 5-fluoro-(2R*,3S*)-2,3-bis(4-hydroxyphenyl)pentanenitrile (FEDPN) as a multitargeted drug candidate. We also evaluated the results with MIFs, which identified VAL, GLU, GLY, LEU, LYS, THR, and TYR as the most interacted residues. We also performed the DFT studies followed by 5 ns WaterMap computations to understand FEDPN's stability, precise interactions, and water thermodynamics on the interacting site. Also, we performed a 100 ns MD simulation in the TIP3P water model and analysed deviation, fluctuations within 2 Å, and many intermolecular interactions followed by binding free energy computations and analysis that supported the results. The complete study backed FEDPN's multitargeted potency-however, experimental studies are needed before its use.