| KEYWORD |
Molecular Insights into the GLP-1 Receptor-Ligand Interaction for Enhanced Drug Discovery in Type 2 Diabetes
keywords COMPLEX SYSTEMS, COMPUTATIONAL BIOLOGY, DIABETES, DRUG DISCOVERY, PERSONALIZED MEDICINE
Reference persons ALFREDO BENSO, GIANFRANCO MICHELE MARIA POLITANO
Research Groups DAUIN - GR-19 - SYSTEM BIOLOGY GROUP - SYSBIO
Thesis type RESEARCH / EXPERIMENTAL
Description G protein-coupled receptors (GPCRs) represent a pivotal class of transmembrane proteins that regulate essential cellular processes and serve as prominent targets for drug discovery. Among these, the GLP-1 receptor stands out due to its central role in glucose homeostasis and its potential as a therapeutic target for type 2 diabetes. As the field of computational biology advances, molecular dynamics simulations have emerged as a powerful tool for investigating the dynamic behavior and interactions of biological molecules at the atomic level. This proposal outlines a comprehensive study aimed at leveraging molecular dynamics simulations to deepen our understanding of the GLP-1 receptor-ligand interaction. By elucidating the structural dynamics, binding mechanisms, and energetic contributions within this complex, this research strives to contribute valuable insights to the field of receptor-ligand interactions and drug discovery. Through a systematic analysis of simulation data, this study seeks to uncover critical information that could guide the design of novel therapeutic agents and enhance our knowledge of GPCR-mediated signalling pathways.
Deadline 12/10/2024
PROPONI LA TUA CANDIDATURA