Molecular docking and pharmacology study to explore bio-active compounds and underlying mechanisms of Caesalpinia bonducella on polycystic ovarian syndrome. (2022)
- Record Type:
- Journal Article
- Title:
- Molecular docking and pharmacology study to explore bio-active compounds and underlying mechanisms of Caesalpinia bonducella on polycystic ovarian syndrome. (2022)
- Main Title:
- Molecular docking and pharmacology study to explore bio-active compounds and underlying mechanisms of Caesalpinia bonducella on polycystic ovarian syndrome
- Authors:
- Hossain, Md Arju
Sharfaraz, Ashik
Hasan, Md Imran
Somadder, Pratul Dipta
Haque, Md Akramul
Sarker, Md Rifat
Alam, Md Monjurul
Wasaf Hasan, Ali Mohamod
Sohel, Md
Rahman, Md Habibur - Abstract:
- Abstract: Polycystic ovarian syndrome (PCOS) was effectively treated with Caesalpinia bonducella (CB) although its active components and molecular mechanisms remain undetermined. Through network pharmacology and molecular docking technology, the ultimate goal of this study was to investigate the active ingredients and functions of CB against PCOS. A literature review and PhytochemDB database were used to identify the compounds in CB which were then subjected to an ADMET (Absorption, Distribution, Metabolism, Elimination and Toxicity) assessment. Then, the identified common genes were used for network construction through Enrichr and STRING database and docking were performed in AutoDock software. During ADMET screening, only 19 compounds showed excellent potential biological activity out of 51 active ingredients of CB. Furthermore, we have identified 137 and 1976 genes for target compounds and PCOS, respectively by using several public databases. The findings of gene-compounds network analysis revealed that the active ingredients and target genes of CB against PCOS comprised of 5 phytochemicals and 42 overlapping genes, among these flavone and IL-6 being the top active ingredient and hub proteins, respectively. From the pathway enrichment analysis, cytokine-mediated, IL-17, and TLR signaling pathways were the most significant. PPI and molecular docking analysis indicated that CAT -9.3 kcal/mol, TNF (−8.4 kcal/mol) and IL-6 (−8.3 kcal/mol) proteins were the potentialAbstract: Polycystic ovarian syndrome (PCOS) was effectively treated with Caesalpinia bonducella (CB) although its active components and molecular mechanisms remain undetermined. Through network pharmacology and molecular docking technology, the ultimate goal of this study was to investigate the active ingredients and functions of CB against PCOS. A literature review and PhytochemDB database were used to identify the compounds in CB which were then subjected to an ADMET (Absorption, Distribution, Metabolism, Elimination and Toxicity) assessment. Then, the identified common genes were used for network construction through Enrichr and STRING database and docking were performed in AutoDock software. During ADMET screening, only 19 compounds showed excellent potential biological activity out of 51 active ingredients of CB. Furthermore, we have identified 137 and 1976 genes for target compounds and PCOS, respectively by using several public databases. The findings of gene-compounds network analysis revealed that the active ingredients and target genes of CB against PCOS comprised of 5 phytochemicals and 42 overlapping genes, among these flavone and IL-6 being the top active ingredient and hub proteins, respectively. From the pathway enrichment analysis, cytokine-mediated, IL-17, and TLR signaling pathways were the most significant. PPI and molecular docking analysis indicated that CAT -9.3 kcal/mol, TNF (−8.4 kcal/mol) and IL-6 (−8.3 kcal/mol) proteins were the potential biomarkers of PCOS pathogenesis compared to control drug (clomifene citrate). Applying network pharmacology and molecular docking, the active components and molecular mechanisms of CB against PCOS were initially studied. Our study provides scientific evidence that may support the therapeutic impacts of CB and need to be further validation of active compounds in treatment of PCOS. … (more)
- Is Part Of:
- Informatics in medicine unlocked. Volume 33(2022)
- Journal:
- Informatics in medicine unlocked
- Issue:
- Volume 33(2022)
- Issue Display:
- Volume 33, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 33
- Issue:
- 2022
- Issue Sort Value:
- 2022-0033-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022
- Subjects:
- Polycystic ovarian syndrome -- Caesalpinia bonducella -- ADMET -- Flavone -- IL-6 -- Active ingredients
PCOS: Polycystic ovarian syndrome -- CB: Caesalpinia bonducella -- ADMET: Absorption, Distri-bution, Metabolism, Elimination and Toxicology -- STRING: Search Tool for the Retrieval of Interacting Genes/Proteins -- PPI: Protein-protein interaction -- Cat: Catalase -- IL-6: Interleukin-6 -- TNF: Tumor necrosis factor -- TLR: Toll like receptor -- LDL-C: Low-density lipoprotein cholesterol -- TG: Triglycerides -- HIF-1: Hypoxia-inducible factor-1 -- MAPK: Mitogen activated protein kinase -- OCPs: Oral contraceptives -- VTE: Venous thromboembolis -- LH: Luteinizing hormone -- FSH: Follicle stimulating hormone -- CTD: Thecomparative toxicogenomics database -- IVF: In vitro fertilization -- GO: Gene ontology -- KEGG: Kyoto Encyclopedia of Genes and Genomes -- DEGs: Differential Expressed Genes -- BP: Biological Process -- CMV: Cytomegalovirus -- ETA: Immunological therapy of etanercept
Medical informatics -- Periodicals
610.285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/23529148/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.imu.2022.101073 ↗
- Languages:
- English
- ISSNs:
- 2352-9148
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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- 24055.xml