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Design, docking, MD simulation and in-silco ADMET prediction studies of novel indole-based benzamides targeting estrogen receptor alfa positive for effective breast cancer therapy

Bhagyashri Warude, Sandip Narayan Wagh, Vivekanda A. Chatpalliwar, Merve Yıldırım, İsmail Çeli̇k, Mithun Rudrapal, Johra Khan, Sampath Chinnam, Aniket Garud, Vishnu S. Neharkar

2023Pharmacia12 citationsDOIOpen Access PDF

Abstract

Breast cancer is one of the most common malignancies in women, afflicting millions of lives each year. Our current study suggests that the development of the most promising 7-substituted -1-(4-(piperidine-1-yl methoxy)benzyl)-1H-indole-3-carboxamide derivatives results in potent anticancer agents through in-silico investigations. The molecular docking was performed against estrogen receptor alpha (ER-α) positive (PDB ID: 3UUD) of breast cancer cells to anticipate the binding modes of the designed compounds and the likely mode of action. The interactions between the ligands and amino acid residues were thoroughly elucidated. The stability of the docked protein-ligand complexes was further confirmed by 100 ns molecular simulations methods. From in-silico studies, indole-based benzamides exhibited satisfactory physicochemical, drug-likeness and toxicity properties. To conclude, the most promising substituted benzamide analogs on the indole ring could serve as a possible modulator against ER-α positive breast cancer.

Topics & Concepts

Indole testIn silicoChemistryBenzamideEstrogen receptorDocking (animal)Protein Data Bank (RCSB PDB)Breast cancerPiperidineEstrogen receptor alphaStereochemistryPharmacologyComputational biologyBiochemistryCancerBiologyMedicineInternal medicineGeneNursingComputational Drug Discovery MethodsSynthesis and biological activityEstrogen and related hormone effects
Design, docking, MD simulation and in-silco ADMET prediction studies of novel indole-based benzamides targeting estrogen receptor alfa positive for effective breast cancer therapy | Litcius