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Molecular Dynamics Simulation

Program Overview

Bioinformatics

Structure of the target protein; 3D structure, active site, activity regulation, isoforms, annotation score, sequence length. 

Introduction to MD simulations

  1. Mathematical concepts of coordinate systems, series expansion, vectors, matrix notations, and complex numbers.
  2. Potential energy and potential energy surface.
  3. Difference between statistical average and true average
  4. Basic statistical analysis to analyze MD trajectories.

Force Fields

  • Bonded and nonbonded interactions.
  • Periodic boundary conditions.
  • Minimum image convention.
  • Solvent effects.

MD simulation processing

  • Running MD.
  • Macroscopic variables.
  • Monitoring equilibrium.
  • MD analysis.

Running MD simulations and Data analysis

  • Visualization using VMD 3 MD algorithms and solvent effects
  • Setting up an MD simulation using NAMD.
  • MD simulation processing.

MD simulation data analysis

  • Analysis of MD simulations
  • Data interpretation and presentation.

Drug binding interactions

  • Enthalpic interactions.
  • Entopic Interactions.

Predicting drug binding affinities

  • End points methods.
  • Alchemical modification methods.
  • Path sampling methods.

MM-PBSA analysis

  • Running the Amber MM-PBSA analysis using Amber tools.

Metadynamics and the free energy surface

  • The sampling problem.
  • Theory behind metadynamics.

Running Metadynamics

  • Running Metadynamics using Gromacs.
  • Registration
  • Be contacted to confirm the participation
  • Scheduling for the program sessions
  • Supplied with the technical support to download the software required for the program