Integrating Multi-Analysis of an In Silico Approach to Investigate Cinnamaldehyde as a Drugs Candidate

نویسندگان

1 Faculty of Pharmacy, Universitas Muhammadiyah Ahmad Dahlan Cirebon, Cirebon, Indonesia

2 School of Pharmacy, Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Yogyakarta, Yogyakarta, 55183, Indonesia

3 School of Pharmacy, Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Yogyakarta, Yogyakarta, 55183, Indonesia

4 Pharmacy Diploma Program, Akademi Farmasi Cendikia Farma Husada, Bandar Lampung, Indonesia

doi
10.48309/ajca.2026.548661.1937
چکیده

Cinnamaldehyde is a natural compound that garnered significant interest as a potential drug candidate. This study aims to investigate the potential of cinnamaldehyde as a candidate for drugs through multi-analysis of in silico methods, such as pharmacokinetics analysis, pharmacology networking, molecular docking, and simulation of molecular dynamics. Through pharmacological networking, a total of 156 proteins were identified as targets for cinnamaldehyde. A careful selection of protein-protein interactions (PPI) and topographical networking led to 10 proteins: STAT3, EGFR, ESR1, SRC, PTGS2, NFKB1, MMP9, ERBB2, CCND1, and TLR4. Further analysis revealed that these proteins are mainly associated with cancer pathways, antiviral responses, and lipid metabolism. Docking score in binding energy value (kcal/mol) showed that cinnamaldehyde outperformed doxycycline as a reference drug, specifically in MMP9. The dynamic simulation analysis indicated that the ligand-protein complexes formed by cinnamaldehyde and doxycycline have similar patterns. The simulation result exhibited some fluctuations in RMSD and radius of gyration during the initial 10 ns. Overall, the ligand-protein complexes displayed stable interaction over a 50 ns simulation. Although limited in an in-silico study, this study concludes that cinnamaldehyde shows potential as an anticancer agent targeting the MMP9 protein.