Date of Completion
7-2021
Document Type
Thesis
Degree Name
Bachelor of Science in Biochemistry
Keywords
Computer Simulation, Phytochemicals
Abstract
Dipeptidyl peptidase (DPP)-IV is a cell-surface aminopeptidase that is responsible for the half-life of GIP and GLP-1 which affect blood glucose levels. Inhibition of DPP-IV may prolong the life of the said proteins resulting in a decrease in blood glucose. Secondary metabolites exhibit biological processes that may inhibit diseases such as Type 2 Diabetes Mellitus – a condition characterized by abnormally high blood glucose levels. Thirty phytochemicals including alkaloids, flavonoids, phenolics, and terpenoids were docked against DPP-IV to examine its inhibitory properties. DPP-IV-ligand complex docking was carried out using AutoDock Vina program in UCSF Chimera Software. Binding affinity, number of amino acid interactions, and bond distance were utilized to determine potential DPP-IV inhibitors. Results revealed that tiliroside had the highest binding affinity among the 30 phytochemicals, andrographolide reported the highest number of interactions in the active site of DPP-IV, and kaempferol exhibited the shortest bond distance.
First Advisor
Tabitha L. Amora
APA Citation
Calibo, C., Fontanilla, J. D., & Bartolome, J. B. (2021). In silico docking analysis of selected phytochemicals with dipeptidyl peptidase (DPP)-IV. [Bachelor's thesis, De La Salle Medical and Health Sciences Institute]. GreenPrints. https://greenprints.dlshsi.edu.ph/bch/91/
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