European journal of medicinal chemistry · 2025
Pharmacophore-guided review of EGFR-targeted anticancer drugs with gefitinib as a reference.
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Meenu, Sheikh Khursheed Ahmad, Shaquiquzzaman M, Gupta Shivam, Barkha, Tasneem Sharba, Akhter Mymoona, Anwer Tariq, Kaleem Mohammad, Singh Suruchi, Mumtaz Alam M
Аннотация
The epidermal growth factor receptor (EGFR) stands as a cornerstone therapeutic target in oncology, particularly non-small cell lung cancer (NSCLC), where it drives tumor proliferation amid a saturated field of inhibitors and analyses. This review offers a targeted exploration of the core pharmacophoric traits shaping EGFR inhibitor potency through evolving generations, aiming to guide the creation of advanced agents that sidestep resistance. Drawing from an extensive survey of published pharmacophore frameworks and crystallographic data on approved inhibitors, we spotlight persistent binding motifs and their impact on potency and specificity. Using gefitinib as a foundational scaffold and aligning it with the EGFR structure (PDB: 4WKQ), we map essential engagements-such as hinge-directed hydrogen bonds often via quinazoline cores, hydrophobic nesting in the ATP pocket, and pi-stacking for anchor stability-while tracing refinements like covalent warheads and flexible solvent tails that bolster mutant selectivity. Unlike conventional summaries, our approach fuses structure-activity insights from docking simulations (refined through molecular dynamics) with validated lab assays, focusing on high-confidence candidates boasting sub-nanomolar activity and clean kinase profiles to filter out artifacts. Across more than 50 quinazoline-based and alternative scaffolds, we uncover universal binding drivers alongside tailored tweaks, including triazole add-ons that boost affinity for T790 M and C797S variants by two-fold to five-fold, curbing off-target effects. These patterns expose hidden trends in evasion of polypharmacology and lay groundwork for a versatile pharmacophore template suited to novel scaffold invention. Ultimately, this blended computational-experimental lens equips medicinal chemists with tools to accelerate lead optimization, crafting durable third- and fourth-generation options that adapt to shifting resistance landscapes and elevate EGFR-directed treatments.