NETWORK PHARMACOLOGY AND MOLECULAR DOCKING-BASED PREDICTION OF PHARMACOLOGICAL PROPERTIES OF OSTHOLE

Objectives: In this study, the term called network pharmacology (NP) process which was used to understand underlying mechanism of pharmacological properties Osthole. NP is developed that drug actions and interactions with multiple targets it also capable completely articulating complexity between diseases medications. The research carried out for identification diverse drug-target using discover novel medications difficult conditions such as Parkinson’s, Cancer, Alzheimer’s disease many more. Osthole prediction could be in pharmaceutical background. Methods: To binding affinity corresponding target proteins, analyzed. It determined from pathway by can caused, cancer disease. A PyRx tool carry molecular docking. For research, structures protein phytocompounds were retrieved UniProtKB PubChem. Furthermore, along help BIOVIA discovery studio software, structure analyzed ADMET screening done evaluate properties. Results: ligands PubChem, then where showed 100 potential targets. protein-protein interaction STRING database, these CREBBP, IDO1, MAPK8 have maximum followed Gene functional analysis, is, go function KEGG pathway. docking 4U72 best visualization Discovery Studio, provided 3D 2D visualization. Conclusion: According results obtained docking, proteins effects considered suggestions investigation