Course Overview
Molecular Dynamics (MD) simulation is a powerful computational technique that predicts the time-dependent behavior of molecular systems by generating atomic trajectories through numerical integration of Newton's laws of motion. It allows researchers to study the dynamic properties, conformational changes, and fluctuations of biological macromolecules, including proteins and nucleic acids, providing crucial insights into their structural and functional behavior.
This course offers a comprehensive, hands-on introduction to MD simulations with a focus on biological systems and drug discovery applications. Participants will learn to prepare protein structures, perform energy minimization, and execute simulations using ensembles such as NVT and NPT. The course emphasizes practical experience in analyzing protein stability, drug-target interactions, and protein-protein interaction networks. Tools such as GROMACS are used to provide participants with realistic and reproducible simulation workflows.
Course Overview
The program begins with pre-processing of protein structures, including the removal of unnecessary elements, followed by topology construction, solvation, and addition of ions to mimic physiological conditions. Participants then perform energy minimization to stabilize structures before simulation. The course covers equilibration phases under NVT and NPT ensembles, ensuring proper temperature and pressure stabilization, and concludes with running full MD simulations. Practical visualization and analysis using tools like GRACE help participants interpret simulation results and extract meaningful insights for computational drug design. This course not only strengthens computational skills but also provides a solid understanding of MD simulations as a tool for drug discovery, structural biology, and molecular interaction studies.
What You'll Learn
- • Preparation of protein structures for MD simulations
- • Energy minimization and structure relaxation
- • Visualization and analysis of minimized structures
- • Equilibration under NVT and NPT ensembles
- • Execution of molecular dynamics simulations
- • Understanding protein-protein and protein-ligand interactions
- • Practical workflows using GROMACS for biological macromolecules
Who Should Enroll
This course is designed for biologists, beginner to intermediate bioinformaticians, and data analysts who want to gain practical skills in molecular dynamics simulations. A basic understanding of molecular biology and logical reasoning for computational work is recommended. No prior experience in MD simulations or GROMACS is required.
