Prioritization of bioactive compounds envisaging yohimbine as a multi targeted anticancer agent: insight from molecular docking and molecular dynamics simulation.
Nasimudeen R JabirMd Tabish RehmanMohamed F AlAjmiBakrudeen Ali AhmedShams TabrezPublished in: Journal of biomolecular structure & dynamics (2022)
Recently, multi-targeted drugs have attracted much attention in cancer therapy where several therapeutic proteins are targeted by a single agent. Using the published scientific literature, we selected sixteen well-known anticancer targets and seven potential phytobioactive chemicals to find a multitargeted compound by screening through molecular docking. The feasible protein-ligand interaction was further predicted by protein-ligand interaction analysis and molecular dynamic simulation. The phytochemical yohimbine exhibited the lowest docking score in the range of -8.3 to -10.0 kcal/mol over other ligands with all the studied protein targets. Molecular interaction data also revealed the feasible binding of yohimbine with all targets. Moreover, the molecular simulation data also confirmed the stability of protein-ligand complexes with three most scored targets viz. ERK2, PARP1 and PIK3α. Based on our results, yohimbine seems to be the most potent compound out of those selected compounds and can be considered as effective lead molecule against the studied target proteins.Communicated by Ramaswamy H. Sarma.
Keyphrases
- molecular docking
- molecular dynamics simulations
- cancer therapy
- protein protein
- binding protein
- systematic review
- drug delivery
- amino acid
- small molecule
- electronic health record
- signaling pathway
- cell proliferation
- randomized controlled trial
- dna damage
- machine learning
- deep learning
- transcription factor
- human health