Ligand-based design approach of potential Bcl-2 inhibitors for cancer chemotherapy
Nilofer Gerald Arakal1, Vaishali Sharma2, Avinash Kumar3
1Department of Pharmaceutical Chemistry, Faculty of Pharmacy, M.S. Ramaiah University of Applied Sciences, Bangalore, India.
Background And Objectives:
Overexpression of prosurvival Bcl-2 family members make tumor cells resistant to conventional cancer therapeutic agents. It is commonly observed feature in many different types of human tumors. Hence, small-molecules as Bcl-2 inhibitors may have a promising therapeutic potential for the treatment of human cancer. The given study focusses on development of novel and small Bcl-2 inhibitors using ligand-based drug design approach.
Methods:
Ligand based pharmacophore was generated using the PHASE tool of Schrödinger and screened ZINC database through ZINCPharmer webserver to identify compounds with similar features. Compounds having good fitness score were selected for molecular docking and binding interactions were compared with drugs in market as well as trials. QSAR model was generated using advanced AutoQSAR tool and validated for prediction of unknown compounds. QSAR prediction of in silico active identified three potential compounds and were subjected to investigate stability by molecular dynamics simulations and MM-PBSA binding energy calculations.
Results:
Study identified three in silico potential molecules with good stability and binding affinity. Further substructure search and pIC50 value prediction has identified six more molecules. Total nine molecules have demonstrated good drug likeness features.
Conclusion:
Final oral rat LD50 calculation of nine molecules has identified three hit molecules i.e., ZINC76760927, ZINC76768675 and ZINC52767796 for further in vitro and in vivo testing as safe and potential Bcl-2 inhibitors.
Insights
Researchers developed novel small-molecule Bcl-2 inhibitors using computational methods. Three promising drug candidates were identified for further testing as potential cancer therapeutics.
Area of Science:
- Computational chemistry and drug discovery
- Oncology and molecular biology
Background:
- Overexpression of Bcl-2 proteins confers resistance to cancer therapies.
- Targeting Bcl-2 offers a promising strategy for cancer treatment.
Purpose of the Study:
- To design novel small-molecule Bcl-2 inhibitors using a ligand-based drug design approach.
- To identify potential therapeutic agents for overcoming cancer drug resistance.
Main Methods:
- Pharmacophore generation and database screening (ZINC)
- Molecular docking and QSAR modeling (AutoQSAR)
- Molecular dynamics simulations and binding energy calculations (MM-PBSA)
Main Results:
- Identification of nine drug-like molecules with favorable properties.
- Three in silico potential molecules showed good stability and binding affinity.
- Three hit molecules (ZINC76760927, ZINC76768675, ZINC52767796) selected based on safety and efficacy predictions.
Conclusions:
- The study successfully identified three novel, safe, and potent Bcl-2 inhibitor candidates.
- These compounds warrant further in vitro and in vivo evaluation for cancer therapy.
- Computational drug design is effective in discovering new therapeutic agents.
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