
Polarity:Mixed/Knife-edge
Molecular Dynamics Simulation with GROMACS
November 30, 2024Dr. Robert Kim, Computational Chemist2 min read
MD simulates atomic-level molecular behavior. Essential for drug design, protein engineering, and eventually molecular assemblers.
Setup
# GROMACS workflow # 1. Prepare structure gmx pdb2gmx -f protein.pdb -o structure.gro -water tip3p # 2. Define simulation box gmx editconf -f structure.gro -o box.gro -bt cubic -d 1.0 # 3. Solvate gmx solvate -cp box.gro -cs spc216.gro -o solvated.gro # 4. Add ions (neutralize) gmx grompp -f ions.mdp -c solvated.gro -o ions.tpr gmx genion -s ions.tpr -o system.gro -neutral # 5. Energy minimization gmx grompp -f em.mdp -c system.gro -o em.tpr gmx mdrun -v -deffnm em # 6. Production MD gmx grompp -f md.mdp -c em.gro -o md.tpr gmx mdrun -v -deffnm md -nt 8 # 8 CPU coresClick to examine closely
'AMBER': 'Proteins, nucleic acids (biomolecules)',
Force Fields
FORCE_FIELDS = {
'AMBER': 'Proteins, nucleic acids (biomolecules)',
'CHARMM': 'Proteins, lipids, carbohydrates',
'OPLS': 'Organic molecules, proteins',
'GROMOS': 'Aqueous solutions, proteins',
}
# Force field parameters: bonds, angles, dihedrals, non-bonded
def calculate_forces(atom_positions, force_field):
"""
F = -∇V where V = V_bonded + V_non-bonded
V_bonded = V_bonds + V_angles + V_dihedrals
V_non-bonded = V_electrostatic + V_van_der_Waals
"""
energy = force_field.calculate_potential(atom_positions)
forces = -gradient(energy)
return forces
Click to examine closely
Analysis
import MDAnalysis as mda
# Load trajectory
u = mda.Universe('system.gro', 'md.xtc')
# RMSD (structural stability)
from MDAnalysis.analysis import rms
R = rms.RMSD(u, select='backbone')
R.run()
# RMSF (flexibility per residue)
from MDAnalysis.analysis.rms import RMSF
rmsf = RMSF(u.select_atoms('backbone')).run()
# Hydrogen bonds
from MDAnalysis.analysis.hydrogenbonds import HydrogenBondAnalysis
hbonds = HydrogenBondAnalysis(u).run()
Click to examine closelyApplications
- Protein folding: Predict 3D structure from sequence
- Drug binding: Test small molecules against target
- Membrane dynamics: Lipid bilayer behavior
- Molecular machines: Kinesin, myosin motors
- ⚠️ Molecular assemblers: Future nanotech design
Timescales:
- Vibrations: femtoseconds
- Side chain motion: picoseconds
- Protein folding: microseconds-milliseconds
- Requires massive compute for biologically relevant timescales
Related Chronicles: Molecular Assembler Grey Goo (2056)
Tools: GROMACS, LAMMPS, NAMD