Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Eksakta : Berkala Ilmiah Bidang MIPA

Identification of Active Compounds of Leaf Extract and Seed Oil of Moringa oleifera in TrkB Receptor as Neuroprotective by Molecular Docking Muhamad Sadam Safutra; Fadilah; Wawaimuli Arozal; Agian Jeffilano Barinda
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 02 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss02/442

Abstract

The functional ability of the brain will decline progressively during aging which usually involves changes in plasticity. BDNF is one of the neurotrophins that regulates plasticity via TrkB receptors. So the potential of Moringa oleifera leaf and seed oil extracts was identified as neuroprotective on the interaction of TrkB receptors with molecular docking. The active compounds of Moringa oleifera leaf extract and seed oil were obtained from literature studies. Drug-likeness and ADMETox analysis were carried out using the SwissAdme and the AdmetSAR webserver. The molecular docking was carried out using the Pyrx Vina application and visualization is done using the Discovery Studio Biovia application. The docking results showed the best compounds namely luteolin, stigmasterol, and moringin as a marker compound and showed the interaction of hydrogen and hydrophobic bonds at the active site of the prediction results. So it can be concluded that compounds in the leaves and seed oil of Moringa oleifera, namely luteolin, stigmasterol, and moringin are predicted as ingredients that can activate TrkB receptors in the aging process.
Identification of Potential Biomarkers for Hypertensive Nephropathy by Bioinformatics Analysis Fajarido, Ariski; Fadilah, Fadilah; Wawaimuli Arozal
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 04 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss04/537

Abstract

Hypertensive nephropathy (HN) is a common complication of chronic hypertension that leads to kidney damage. This study aimed to identify potential biomarkers and key pathways associated with HN using bioinformatics tools. Gene data related to HN were retrieved from GeneCards and the Comparative Toxicogenomics Database (CTD), resulting in 89 genes from GeneCards and 10,898 genes from CTD. A Venn diagram revealed 58 overlapping genes, which were then analyzed using Protein-Protein Interaction (PPI) networks and the CytoHubba plugin in Cytoscape. The Maximal Clique Centrality (MCC) algorithm identified 10 hub genes, including ACE, AGT, ACE2, AGTR1, and AGTR2, integral to the renin- angiotensin-aldosterone system (RAAS). Functional enrichment analysis using Gene Ontology (GO) and KEGG pathways revealed that the most significant biological process was regulating systemic arterial blood pressure by the Renin-Angiotensin system, with the renin-angiotensin system pathway being the most highly enriched. Further visualization using ShinyGo highlighted the involvement of key genes in the RAAS pathway. These findings provide valuable insights into the molecular mechanisms underlying HN and suggest that bioinformatics approaches can aid in the identification of specific biomarkers for early diagnosis, non-invasive monitoring, and targeted treatments for HN in the future.