Welcome to the upgraded BRAC University Institutional Repository. We are currently organizing collections after a recent system upgrade. Homepage category counters may temporarily show lower numbers while syncing, but over 27,000 repository items remain safe and accessible. Please use the search bar to find theses, scholarly outputs, and institutional documents.

Target specificity of different phytochemicals in preventing the binding of OxLDL To LOX-1: An in silico approach

Citation

Abstract

With an estimated 17.9 million deaths each year, cardiovascular disease (CVD), particularly myocardial infarction (MI), is the leading cause of death globally. Most MIs are caused by thrombi that form over ruptured atherosclerotic plaques obstructing coronary arteries. Despite the outstanding benefits of lipid-lowering medications, 50% to 70% of patients who achieve their lipid lowering targets still have a high CVD risk. LOX-1 (lectin-type oxLDL [oxidized lowdensity lipoprotein] receptor 1), a membrane receptor of oxLDL, has lately emerged as a viable target for CVD treatments. Various studies suggest that LOX-1 is involved in all the main steps in the pathogenesis of atherosclerosis. The aim of this research is to study the target specificity of various phytochemicals for the LOX-1 receptor and to assess their therapeutic potentialities depending on the stability of ligand-protein complexes. This study utilizes various tools and software to carry out pharmacokinetic analysis, molecular docking and molecular dynamics simulation to determine the drug likeness of the ligands, the strength of the binding affinity, hydrogen bonding and hydrophobic interactions and the various measures of dynamics simulation to predict the stability of the complexes. Among the initial 40 compounds chosen, 10 best compounds were picked based upon their drug-likeness, toxicity, absorption and clearance. Upon conducting the molecular docking simulation for these compounds alongside the statins, it was derived that the compounds generally showed a higher binding affinity compared to the statins. Upon completing the molecular dynamic simulation (MDS) for these complexes, it was derived that most of the compounds chosen showed promising results in terms of binding versatility and free binding energy.

LC Subject Headings

Description

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology 2022.
Catalogued from PDF version of thesis.
Includes bibliographical references (pages 41-47).

Publisher Link

Type

Thesis