De novo Antineoplastic Drug Design to Suppress Head, Neck and Oral Cancer using Theoretical Organic and Biochemistry via Comprehensive Molecular Docking and Dynamics
- PMID: 39205589
- PMCID: PMC11495462
- DOI: 10.31557/APJCP.2024.25.8.2905
De novo Antineoplastic Drug Design to Suppress Head, Neck and Oral Cancer using Theoretical Organic and Biochemistry via Comprehensive Molecular Docking and Dynamics
Abstract
Objective: A de novo antineoplastic drug was planned to suppress and modulate the Head, Neck, and Oral Cancer.
Methods: Using the computational software tools including molecular docking, molecular dynamics (MD), and post-molecular dynamics bond contact analyses, it has been shown that the new drug called ''Innovative Head, Neck, and Oral Cancer Suppressor'', or simply abbreviated as "IHNOCS" is very effective in terms of suppressing and co-modulating TGF-β and KRTAP2-3 together.
Result: The drug suppresses the KRTAP2-3 protein activity while also holding onto TGF-β and modulating it to slow down and halt the metastasis.
Conclusion: We have effectively created a novel medication using principles of theoretical chemistry, biochemistry, pharmaceutical chemistry and organic chemistry and organic chemistry to inhibit Head, Neck, and Oral Cancer. This medication should further undergo experimental testing in various stages, including in vitro, in vivo, and human clinical phases. It exhibits significant effectiveness in inhibiting the progression of cancer by simultaneously targeting TGF-β and KRTAP2-3, thereby impeding metastasis and suppressing the disease.
Keywords: De novo in silico Drug Design; Head-Neck-Oral Cancer; KRTAP 2-3; TGF-β Molecular Docking and Dynamics.
Conflict of interest statement
Authors Assistant Professor Soykan AGAR (Ph.D.), Mohaddeseh Mokhtari (Pharmacy Undergraduate Assistant), Muhammed Yanik (Graduate Software System Manager), Barbaros Akkurt (Post-Doc Teaching Fellow, Ph.D.) and Professor Engin Ulukaya (M.D., Ph.D.) declare that there is no conflict of interest for this research paper and its datasets.
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