Network Pharmacology Integrated Molecular Docking and Dynamics to Elucidate Saffron Compounds Targeting Human COX-2 Protein

Structure-based screening of FDA-approved drugs and molecular dynamics simulation to identify potential leukocyte antigen related protein (PTP-LAR) inhibitors

Leukocyte antigen related protein (LAR), a member of the PTP family, has become a potential target for exploring therapeutic interventions for various complex diseases, including neurodegenerative diseases. The reuse of FDA-approved drugs offers a promising approach for rapidly identifying potential LAR inhibitors. In this study, we conducted a structure-based virtual screening of FDA-approved drugs from ZINC database and selected candidate compounds based on their binding affinity and interactions with LAR. Our research revealed that the candidate compound ZINC6716957 exhibited excellent binding affinity to the binding pocket of LAR, formed interactions with key residues at the active site, and demonstrated low toxicity. To further understand the binding dynamics and interaction mechanisms, the 100-ns molecular dynamics simulations were performed. Post-dynamics analyses (RMSD, RMSF, SASA, hydrogen bond, binding free energy and free energy landscape) indicated that the compound ZINC6716957 stabilized the structure of LAR and the residues (Tyr1355, Arg1431, Lys1433, Arg1528, Tyr1563 and Thr1567) played a vital role in stabilizing the conformational changes of protein. In conclusion, the identified compound ZINC6716957 possessed robust inhibitory activity on LAR and merited extensive research, potentially unleashing its significant therapeutic potential in the treatment of complex diseases, particularly neurodegenerative disorders.

Screening of Active Substances Regulating Alzheimer's Disease in Ginger and Visualization of the Effectiveness on 6-Gingerol Pathway Targets

Ginger has been reported to potentially treat Alzheimer's disease (AD), but the specific compounds responsible for this biological function and their mechanisms are still unknown. In this study, a combination of network pharmacology, molecular docking, and dynamic simulation technology was used to screen active substances that regulate AD and explore their mechanisms. The TCMSP, GeneCards, OMIM, and DisGeNET databases were utilized to obtain 95 cross-targets related to ginger's active ingredients and AD as key targets. A functional enrichment analysis revealed that the pathways in which ginger's active substances may be involved in regulating AD include response to exogenous stimuli, response to oxidative stress, response to toxic substances, and lipid metabolism, among others. Furthermore, a drug-active ingredient-key target interaction network diagram was constructed, highlighting that 6-Gingerol is associated with 16 key targets. Additionally, a protein-protein interaction (PPI) network was mapped for the key targets, and HUB genes (ALB, ACTB, GAPDH, CASP3, and CAT) were identified. Based on the results of network pharmacology and cell experiments, 6-Gingerol was selected as the active ingredient for further investigation. Molecular docking was performed between 6-Gingerol and its 16 key targets, and the top three proteins with the strongest binding affinities (ACHE, MMP2, and PTGS2) were chosen for molecular dynamics analysis together with the CASP3 protein as the HUB gene. The findings indicate that 6-Gingerol exhibits strong binding ability to these disease targets, suggesting its potential role in regulating AD at the molecular level, as well as in abnormal cholinesterase metabolism and cell apoptosis, among other related regulatory pathways. These results provide a solid theoretical foundation for future in vitro experiments using actual cells and animal experiments to further investigate the application of 6-Gingerol.