Computational investigation of indenol derivatives as multitarget inhibitors of EGFR, VEGFR2, CDK6 and COX-2 for potential colorectal cancer therapy

The design of multifunctional inhibitors targeting key kinases and inflammatory enzymes represents a promising strategy in cancer therapy. In this study, a series of indenol derivatives were explored through in silico molecular docking and ADMET analysis to assess their potential as multitarget anticancer and anti-inflammatory agents. Molecular docking was performed against four relevant targets VEGFR2 (PDB ID: 3VHE ), CDK6 (PDB ID: 5L2I ), EGFR (PDB ID: 1M17 ), and COX-2 (PDB ID: 5IKR ). All compounds exhibited favorable binding energies and conserved orientations within the active sites, stabilized by hydrogen bonding, π–π stacking, and hydrophobic interactions. In VEGFR2, indenol derivatives 2, 4 , and 6 formed strong hydrogen bonds with ASP998, TYR927, and HIS1004, while in CDK6, compounds 3, 6–8 engaged the hinge region via ASP163 and PHE164, comparable to standard ATP-competitive inhibitors. Furthermore, the molecules 1–5 also showed significant affinity toward COX-2, forming hydrogen bonds with TYR385, SER530 and GLN203. ADMET profiling using ADMETlab 2.0 was deliberate in this study and revealed that all molecules 1–10 complied with Lipinski's and GSK rules, displaying molecular weights below 500 g/mol, logP values between 1.6 and 2.9, and TPSA under 140 Å 2 . Concerning the compounds 2–5 exhibited the most favorable profiles, combining high BBB permeability (logBB 0.4–0.7), moderate clearance (9–12 mL/min/kg), and low toxicity risks. These findings suggest that hydroxyl and carbonyl substituents enhance binding affinity and pharmacokinetic balance, highlighting the indenol scaffold as a valuable template for designing multitarget inhibitors with potential anticancer, anti-inflammatory, and CNS activities.

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Publication Details

Journal
Results in Chemistry
Published
2025-11-29
DOI
https://doi.org/10.1016/j.rechem.2025.102929
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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article

Computational investigation of indenol derivatives as multitarget inhibitors of EGFR, VEGFR2, CDK6 and COX-2 for potential colorectal cancer therapy

Mohamed Amine Ben Abdallah, Sonia Taktouk, Maha Ameur, Rania Omrani et al.
1 citations
Results in Chemistry
Computational Drug Discovery Methods
1.50
article

Computational investigation of indenol derivatives as multitarget inhibitors of EGFR, VEGFR2, CDK6 and COX-2 for potential colorectal cancer therapy

Mohamed Amine Ben Abdallah, Sonia Taktouk, Maha Ameur, Rania Omrani, Lamia Troudi
article en
1 citations

Abstract

The design of multifunctional inhibitors targeting key kinases and inflammatory enzymes represents a promising strategy in cancer therapy. In this study, a series of indenol derivatives were explored through in silico molecular docking and ADMET analysis to assess their potential as multitarget anticancer and anti-inflammatory agents. Molecular docking was performed against four relevant targets VEGFR2 (PDB ID: 3VHE ), CDK6 (PDB ID: 5L2I ), EGFR (PDB ID: 1M17 ), and COX-2 (PDB ID: 5IKR ). All compounds exhibited favorable binding energies and conserved orientations within the active sites, stabilized by hydrogen bonding, π–π stacking, and hydrophobic interactions. In VEGFR2, indenol derivatives 2, 4 , and 6 formed strong hydrogen bonds with ASP998, TYR927, and HIS1004, while in CDK6, compounds 3, 6–8 engaged the hinge region via ASP163 and PHE164, comparable to standard ATP-competitive inhibitors. Furthermore, the molecules 1–5 also showed significant affinity toward COX-2, forming hydrogen bonds with TYR385, SER530 and GLN203. ADMET profiling using ADMETlab 2.0 was deliberate in this study and revealed that all molecules 1–10 complied with Lipinski's and GSK rules, displaying molecular weights below 500 g/mol, logP values between 1.6 and 2.9, and TPSA under 140 Å 2 . Concerning the compounds 2–5 exhibited the most favorable profiles, combining high BBB permeability (logBB 0.4–0.7), moderate clearance (9–12 mL/min/kg), and low toxicity risks. These findings suggest that hydroxyl and carbonyl substituents enhance binding affinity and pharmacokinetic balance, highlighting the indenol scaffold as a valuable template for designing multitarget inhibitors with potential anticancer, anti-inflammatory, and CNS activities.

Results in ChemistryVol. 19
Tunis University (TN), University of Sfax (TN), Merck Canada Inc. (Canada) (CA), Tunis El Manar University (TN)
Openalex Percentile: Top 12%
Computational Drug Discovery Methods
1.50
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