Chlordiazepoxide against signalling, receptor and regulatory proteins of breast cancer: a structure-based in-silico approach.
Ahad Amer AlsaiariAmal F GharibMaha Mahfouz BakhuraysahAmani A AlrehailiShatha M AlgethamiHayfa Ali AlsaifNorah Al HarthiMohammed Ageeli HakamiPublished in: Medical oncology (Northwood, London, England) (2024)
Among the most prevalent forms of cancer are breast, lung, colon-rectum, and prostate cancers, and breast cancer is a major global health challenge, contributing to 2.26 million cases with approximately 685,000 deaths worldwide in 2020 alone, typically beginning in the milk ducts or lobules that produce and transport milk during lactation and it is becoming challenging to treat as the tissues are developing resistance, which makes urgent calls for new multitargeted drugs. The multitargeted drug design provides a better solution, simultaneously targeting multiple pathways, even when the drug resists one, it remains effective for others. In this study, we included four crucial proteins that perform signalling, receptor, and regulatory action, namely- NUDIX Hydrolases, Dihydrofolate Reductase, HER2/neu Kinase and EGFR and performed multitargeted molecular docking studies against human-approved drugs using HTVS, SP and extra precise algorithms and filtered the poses with MM\GBSA, suggested a benzodiazepine derivative chlordiazepoxide, used as an anxiolytic agent, can be a multitargeted inhibitor with docking and MM\GBSA score ranging from - 4.628 to - 7.877 and - 18.59 to - 135.86 kcal/mol, respectively, and the most interacted residues were 6ARG, 6GLU, 3TRP, and 3VAL. The QikProp-based ADMET and DFT computations showed the suitability and stability of the drug candidate followed by 100 ns MD simulation in water and MMGBSA on trajectories, resulting in stable performance and many intermolecular interactions to make the complexes stable, which favours that chlordiazepoxide can be a multitargeted breast cancer inhibitor. However, experimental validation is needed before its use.
Keyphrases
- molecular docking
- molecular dynamics simulations
- global health
- small cell lung cancer
- drug induced
- endothelial cells
- prostate cancer
- molecular dynamics
- machine learning
- depressive symptoms
- tyrosine kinase
- transcription factor
- public health
- squamous cell carcinoma
- papillary thyroid
- deep learning
- epidermal growth factor receptor
- human milk
- drug delivery
- magnetic resonance imaging
- squamous cell
- protein protein
- pluripotent stem cells
- image quality
- breast cancer risk
- protein kinase