Optimizing the Cardiotoxicity Profile of Osimertinib via Scaffold Hopping: An Integrated Cheminformatics and Molecular Modeling Approach
Osimertinib, a third-generation covalent epidermal growth factor receptor (EGFR) inhibitor widely used to treat EGFR T790M-positive non-small cell lung cancer (NSCLC), is limited by dose-dependent cardiotoxicity driven by human ether-à-go-go-related gene (hERG) channel inhibition. To design safer analogues, we applied an integrated computational workflow combining ADMET filtering, covalent docking, molecular dynamics, and quantum-chemical analysis. Using ADMETopt and admetSAR 2.0, a scaffold-hopping campaign generated 390 analogs, of these 161 compounds exhibited substantially reduced predicted hERG inhibition (<0.70) and were prioritized for structure-based studies. Covalent docking against double mutant L858R/T790M EGFR TK (PDB ID: 5HCX) using Schrödinger CovDock identified 101 analogs with covalent docking scores below −5.0 kcal ⋅ mol[Formula: see text], comparable to or better than Osimertinib (−5.79 kcal ⋅ mol[Formula: see text] and retaining productive orientation toward Cys797. Top analogue compound 252 demonstrated favorable covalent docking (−9.26 kcal ⋅ mol[Formula: see text] and was subjected to a 100-ns molecular dynamics simulation. The complex exhibited lower backbone RMSD, reduced protein fluctuations, and persistent active-site interactions relative to the Osimertinib complex. PCA, DCCM, and FEL analyses confirmed stabilization of EGFR in a single dominant conformational basin, indicative of enhanced dynamic stability. DFT calculations at the B3LYP/6-311G++ ⋆⋆ level showed compound 252 possessed a favorable HOMO–LUMO gap (0.1416 eV), lower LUMO energy, and higher electrophilicity ([Formula: see text] = 0.115 eV), supporting efficient Michael acceptor reactivity. Overall, compound 252 represents a quantitatively validated cardiotoxicity-optimized EGFR inhibitor, demonstrating improved stability, reactivity, and predicted safety. This study establishes a robust computational framework for designing next-generation covalent kinase inhibitors with reduced off-target cardiotoxicity.
Authors
- Harun Patel (ORCID: https://orcid.org/0000-0003-0920-1266)
- Bhatu Patil
- Narendra R. Nagpure (ORCID: https://orcid.org/0009-0003-8399-7618)
- Vaibhav Kadam
- Chandrakant Gawli
- Sampath Chinnam
- Iqrar Ahmad
Institutions
- Shri Vile Parle Kelavani Mandal (IN)
- Visvesvaraya Technological University (IN)
Publication Details
- Journal
- Journal of Computational Biophysics and Chemistry
- Published
- 2026-04-10
- DOI
- https://doi.org/10.1142/s2737416526500754
- Primary Topic
- Lung Cancer Treatments and Mutations
- Type
- article
- Field-Weighted Citation Impact
- 0.00