Year: 2025
Type: article
Abstract: Diabetes Mellitus is a worldwide chronic metabolic disorder characterized by pancreatic cell damage, or insulin resistance, and relative insulin insufficiency. Diabetes is also known as the third killer in humans after cancer and heart attack. This project seeks to tackle the prevalent global health challenge of diabetes mellitus through the application of in silico methods, a promising avenue in drug discovery and development. Our primary objective is to identify therapeutic targets for diabetes treatment, with a specific focus on Peroxisome Proliferators Activated Receptor Gamma (PPAR-γ) and Glycogen Phosphorylase (GP). Utilizing in silico techniques, we aim to explore the interaction of these targets with potential therapeutic agents to develop more potent treatments. Our project is centered on investigating the therapeutic potential of Organo Sulfur Compounds and understanding their interaction mechanisms with receptors using in silico techniques. The overarching aim is to expedite the discovery of novel, efficient, and safe treatments for diabetes mellitus. Computational tools like PyRx, SwissADME, Biovia Discovery Studio, ADMET SAR were used to check the binding and drug forming abilities of ligands under study. It is a faster and more accurate process as compared to the actual experimental trial and error method. Databases like PubChem, PDB and NCBI were also used. In addition to these the other software that were used are SwissADME, Marwin Sketch and OSIRIS data explorer.
Authors: Dhanwantari Desai, Aditya Pillai, Abhishek Mohite, Mitali Patole, Rajesh Jorgewad
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409731562