A Potential Anticancer Mechanism of Finger Root (Boesenbergia rotunda) Extracts against a Breast Cancer Cell Line

Computational Insights into the Interaction of Pinostrobin with Bcl-2 Family Proteins: A Molecular Docking Analysis

BACKGROUND

Cancer research has emphasized the Bcl-2 family of proteins because of their interaction in apoptosis process, a critical mechanism that regulates cellular survival and death. Recently small molecules from diverse sources have gained much attention in anticancer research due to their promising inhibitory action against Bcl-2 and Bcl-XL that are pointedly known as the members of anti-apoptotic Bcl-2 family of proteins. Pinostrobin (PN) is a natural flavonoid with diverse pharmacological potential emerged as a molecule of interest as anticancer agent. The present study aims to screen the interaction of PN with anti-apoptotic protagonists Bcl-2 and Bcl- XL at the molecular level through docking studies.

METHOD

The molecular docking was performed using the Schrodinger software. The docking score of PN with the Bcl-2 (4IEH) and Bcl-XL (3ZK6) and their molecular interactions was examined and analysed.

RESULTS

The result of the molecular docking analysis showed that PN and the anti-apoptotic proteins 4IEH and 3ZK6 had significant interactions and docking energy scores (ΔG) were found to be -5.112 kcal/mol and -7.822 kcal/mol respectively. The small molecule PN illustrated effective interaction with the active site amino acids of the Bcl-2 and Bcl-XL proteins and has been associated through traditional hydrogen bond with 4IEH. Further, it was observed that PN and anti-apoptotic Bcl-2 proteins interaction was stabilized by other non-covalent interactions, such as π-alkyl or π-π interactions and van der Waals forces.

CONCLUSIONS

This was the first study to reveal the inhibitory action of PN against anti-apoptotic Bcl-2 and Bcl-XL proteins at the molecular level. The findings of this study concludes that PN ability to inhibit anti-apoptotic proteins, Bcl-2 and Bcl-XL could be useful to induce intracellular apoptosis in tumorous cells.

Revealing Propolis Potential Activity on Inhibiting Estrogen Receptor and Heat Shock Protein 90 Overexpressed in Breast Cancer by Bioinformatics Approaches

Breast cancer is the most commonly diagnosed cancer globally, with the highest incidence of breast cancer occurring in Asian countries including Indonesia. Among the types of breast cancer, the estrogen receptor (ER)-positive subtype which is prominent with estrogen receptor alpha (ERα) and heat shock protein 90 (HSP90) overexpression genes becomes the most prevalent than the others, approximately 75% of all breast cancer cases. ERα and HSP90 play a role in breast cancer activities including breast tumor growth, invasion, and metastasis mechanism. Propolis, a natural bee product, has been explored for its anticancer activity. However, there is lack of studies that evaluated the potential inhibitor from propolis compounds to the ERα and HSP90 proteins. Therefore, this article focuses on examining the correlation between ERα and HSP90's role in breast cancer and investigating the potential of 93 unique propolis compositions in inhibiting these genes in breast cancer using in silico approaches. This study revealed the positive correlation between ERα and HSP90 genes in breast cancer disease development. Furthermore, we also found novel potential bioactive compounds of propolis against breast cancer through binding with ERα and HSP90; they were 3',4',7-trihydroxyisoflavone and baicalein-7-O-β-D glucopyranoside, respectively. Further research on these compounds is needed to elucidate deeper mechanisms and activity in the real biological system to develop new breast cancer drug treatments.

Revealing curcumin therapeutic targets on SRC, PPARG, MAPK8 and HSP90 as liver cirrhosis therapy based on comprehensive bioinformatic study

Cirrhosis naturally progresses through three stages: compensated, decompensated, and late decompensated, which carry an elevated risk of death. Although curcumin's anti-cirrhosis effects have been studied, underlying mechanism in preventing cirrhosis progression and the correlation between curcumin's action with upregulated genes remains insufficiently explored. In this study, we employed network pharmacology approach to construct a drug-target-disease network through bioinformatics and validate the findings with molecular docking and dynamic simulation. The curcumin-targeted liver cirrhosis network encompassed 54 nodes with 282 edges in protein-protein interactions (PPI) network. By utilizing network centrality analysis, we identified eight crucial genes. KEGG enrichment pathway revealed that these crucial genes are involved in pathway of cancer, endocrine resistance, estrogen signaling, chemical carcinogenesis-receptor activation, lipid metabolism, and atherosclerosis. Notably, these eight genes predominantly participate in cancer-related pathways. Further investigation revealed upregulation of four genes and downregulation of four others in hepatocellular carcinoma patients. These upregulated genes-MAPK8, SRC, PPARG, and HSP90AA1-strongly correlated with reduced survival probability in liver hepatocellular carcinoma patients with survival times approximately under 4000 days (∼11 years). Molecular docking and molecular dynamic results exhibited curcumin's superior binding affinities and stability compared to native ligands of MAPK8, SRC, PPARG, and HSP90AA1 within 50 ns simulations. Moreover, MM-GBSA analysis showed stronger binding energy of curcumin to MAPK8, SRC, and HSP90AA1 than native ligand. In conclusion, this study provides valuable insights into curcumin's potential mechanisms in preventing liver cirrhosis progression, specifically in HCC. These findings offer a theoretical basis for further pharmacological research into anti-HCC effect of curcumin.Communicated by Ramaswamy H. Sarma.