Journal: Frontiers in Pharmacology

Article Title: Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods

doi: 10.3389/fphar.2024.1500865

Figure Lengend Snippet: Molecular clustering diagram. The diagram shows three clusters of small molecules: the first cluster is green representing Sitogluside, the second cluster is brown representing Kaempferol, and the third cluster is gray representing Nuciferin.

Article Snippet: Sitogluside was obtained from TargetMol.

Techniques:

Journal: Frontiers in Pharmacology

Article Title: Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods

doi: 10.3389/fphar.2024.1500865

Figure Lengend Snippet: The Venn diagram illustrates the shared intersection genes between lotus leaf small molecules and obesity disease. (A) The number of shared intersection genes between Sitogluside and obesity disease is 13. (B) The number of shared genes between Kaempferol and obesity disease is 48. (C) The number of shared intersection genes between Nuciferin and obesity disease is 39.

Article Snippet: Sitogluside was obtained from TargetMol.

Techniques:

Journal: Frontiers in Pharmacology

Article Title: Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods

doi: 10.3389/fphar.2024.1500865

Figure Lengend Snippet: The diagram illustrates protein interactions involved in lotus leaf treatment of obesity. (A) Top 10 gene interactions of Sitogluside. (B) Top 10 gene interactions of Kaempferol. (C) Top 10 gene interactions of Nuciferin.

Article Snippet: Sitogluside was obtained from TargetMol.

Techniques:

Journal: Frontiers in Pharmacology

Article Title: Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods

doi: 10.3389/fphar.2024.1500865

Figure Lengend Snippet: The results presented are based on the GO (A) and KEGG (B) pathway enrichment analyses of intersection genes between Sitogluside and obesity.

Article Snippet: Sitogluside was obtained from TargetMol.

Techniques:

Journal: Frontiers in Pharmacology

Article Title: Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods

doi: 10.3389/fphar.2024.1500865

Figure Lengend Snippet: Compound_name and docking energy results.

Article Snippet: Sitogluside was obtained from TargetMol.

Techniques:

Journal: Frontiers in Pharmacology

Article Title: Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods

doi: 10.3389/fphar.2024.1500865

Figure Lengend Snippet: Docking results of PPARG with two active compounds from lotus Leaf. (A) Interaction between sitogluside and PPARG. (B) Interaction between cycloartenol and PPARG.

Article Snippet: Sitogluside was obtained from TargetMol.

Techniques:

Journal: Frontiers in Pharmacology

Article Title: Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods

doi: 10.3389/fphar.2024.1500865

Figure Lengend Snippet: Secondary structure analysis of the protein in three systems. (A) Apo (B) Sitogluside (C) Cycloartenol.

Article Snippet: Sitogluside was obtained from TargetMol.

Techniques:

Journal: Frontiers in Pharmacology

Article Title: Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods

doi: 10.3389/fphar.2024.1500865

Figure Lengend Snippet: PCA analysis of the three systems. (A) Apo. (B) Sitogluside (C) Cycloartenol. Covariance matrix analysis of three systems. (D) Apo. (E) Sitogluside (F) Cycloartenol.

Article Snippet: Sitogluside was obtained from TargetMol.

Techniques:

Journal: Frontiers in Pharmacology

Article Title: Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods

doi: 10.3389/fphar.2024.1500865

Figure Lengend Snippet: The result of MM-PBSA.

Article Snippet: Sitogluside was obtained from TargetMol.

Techniques:

Journal: Frontiers in Pharmacology

Article Title: Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods

doi: 10.3389/fphar.2024.1500865

Figure Lengend Snippet: MM-PBSA energy contribution and hydrogen bonds. (A) Sitogluside (B) Cycloartenol.

Article Snippet: Sitogluside was obtained from TargetMol.

Techniques:

Journal: Frontiers in Pharmacology

Article Title: Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods

doi: 10.3389/fphar.2024.1500865

Figure Lengend Snippet: Effects of Sitogluside on Lipid Accumulation and Triglyceride Levels in 3T3-L1 Cells. (A–C) Representative microscopy images of 3T3-L1 cells stained with Oil Red O showing lipid accumulation at Sitogluside concentrations of 0 µM (A) , 5 µM (B) , and 10 µM (C) . (D) Graph illustrating the percentage of lipid accumulation in 3T3-L1 cells at different concentrations of Sitogluside. A clear dose-dependent decrease in lipid accumulation is observed. (E) Optical density (OD) at 490 nm of extracted dye from Oil Red O staining, demonstrating decreased lipid content with increasing concentrations of Sitogluside. (F) Triglyceride (TG) concentration measured in µmol/L, showing a significant reduction in triglyceride levels as the concentration of Sitogluside increases.

Article Snippet: Sitogluside was obtained from TargetMol.

Techniques: Microscopy, Staining, Concentration Assay

Journal: Bioengineered

Article Title: An extraction from Trametes robiniophila Murr. ( Huaier ) inhibits non-small cell lung cancer proliferation via targeting to epidermal growth factor receptor

doi: 10.1080/21655979.2022.2066757

Figure Lengend Snippet: Virtual verification of Huaier targets by molecular docking. (a) Maestro 2D interactions between EGFR and gefitinib, adenosine, daucosterol, ergosterol, ergosta-7,22-dien-3β-ol and 3β-hydroxystigmast-5,22-dien-7-one. Residues in green spheres are hydrophobic, blue spheres are polar, red spheres are negatively charged, purple spheres are charged and light yellow spheres are glycine. The purple arrows and their directions represent hydrogen bonds between the ligand and the protein. The green line represents the π-π stacking arrangement seen between the aromatic core. (b) We conducted kinase activity assays to validate Huaier ’s inhibition on EGFR kinase activity. Staurosporine, an effective PKC inhibitor, was chosen as positive control. (c) Cells were conducted by CETSAs, and the protein expression of EGFR was detected by western blot analysis. The line chart showed the relative expression level of EGFR.

Article Snippet: Gefitinib and Daucosterol were both purchased from MCE (HY-50895; HY-N0410).

Techniques: Activity Assay, Inhibition, Positive Control, Expressing, Western Blot