AMBER
A suite of biomolecular simulation programs, with GPU support and low memory requirements. It provides interface for most quantum chemistry softwares, making it suitable for hybrid QM/QC simulations.
Installed versions
AMBER 22 (default, recommended)
AMBER manual can be downloaded from here: https://ambermd.org/doc12/Amber22.pdf
Submitting an AMBER calculation
This ‘source’ command is needed once per session:
module load amber
This commands is equivalent to:
module load amber/22
Preparing the system for simulation
A minimum set of the AMBER calculatation requires for example initial PDB file (water5.pdb), perparation input (tleap.in) and minimization protocol (minim.in).
An example water5.pdb input:
HETATM 1 O WAT A 1 0.000 0.000 0.000 1.00 0.00 O
HETATM 2 H1 WAT A 1 0.957 0.000 0.000 1.00 0.00 H
HETATM 3 H2 WAT A 1 -0.239 0.927 0.000 1.00 0.00 H
HETATM 4 O WAT A 2 3.000 0.000 0.000 1.00 0.00 O
HETATM 5 H1 WAT A 2 3.957 0.000 0.000 1.00 0.00 H
HETATM 6 H2 WAT A 2 2.761 0.927 0.000 1.00 0.00 H
HETATM 7 O WAT A 3 0.000 3.000 0.000 1.00 0.00 O
HETATM 8 H1 WAT A 3 0.957 3.000 0.000 1.00 0.00 H
HETATM 9 H2 WAT A 3 -0.239 3.927 0.000 1.00 0.00 H
HETATM 10 O WAT A 4 3.000 3.000 0.000 1.00 0.00 O
HETATM 11 H1 WAT A 4 3.957 3.000 0.000 1.00 0.00 H
HETATM 12 H2 WAT A 4 2.761 3.927 0.000 1.00 0.00 H
HETATM 13 O WAT A 5 1.500 1.500 2.000 1.00 0.00 O
HETATM 14 H1 WAT A 5 2.457 1.500 2.000 1.00 0.00 H
HETATM 15 H2 WAT A 5 1.261 2.427 2.000 1.00 0.00 H
END
An example tleap.in input:
# Load the TIP3P water model
source leaprc.water.tip3p
# Load the water molecules from the PDB file
m = loadpdb water5.pdb
# Create a periodic box (10×10×10 Å) around the system
solvatebox m TIP3PBOX 10.0
# Save the system to .prmtop and .inpcrd files
saveamberparm m water5.prmtop water5.inpcrd
# Exit LEaP
quit
An example minim.in input:
Minimize 5-water cluster in periodic box
&cntrl
imin=1, ! Minimize
maxcyc=500,
ncyc=250,
ntb=1, ! Constant volume, periodic boundary
cut=8.0, ! Nonbonded cutoff
ntpr=50, ! Print every 50 steps
/
This prepares a geometry minimization of randomly placed TIP3P water molecules in a 10×10×10 ų cubic simulation box.
tleap -f tleap.in
sander -O -i minim.in -o minim.out -p water5.prmtop -c water5.inpcrd -r min.rst -ref water5.inpcrd
To avoid running AMBER on the head node, example job script for a regular AMBER SLURM job (subAMBER.sh) is provided:
#!/bin/bash
#SBATCH -J AMBER # Job name
#SBATCH -t 24:00:00 # Max runtime
#SBATCH -p cpu # Request CPU partition
#SBATCH -t 24:00:00 # Max runtime
#SBATCH -p cpu # Request CPU partition
#SBATCH --ntasks=8 # Use 8 CPUs total
# Load AMBER module if needed (uncomment and adjust if applicable)
module purge
module load PrgEnv-gnu/8.3.3
module load gcc/12.2.0
module load cray-mpich/8.1.24
module load cray-libsci/23.09.1.1
module load amber/22
# Run Sander with 8 CPU
srun sander.MPI -O -i minim.in -o minim.out -p water5.prmtop -c water5.inpcrd -r min.rst -ref water5.inpcrd
To submit subAMBER.sh:
sbatch subAMBER.sh
AMBER for Converting Force Fields
To use Amber on Komondor, load the required module and activate the Amber environment:
module load amber
source /opt/software/packages/amber/22/amber.sh
This sets the environment variables so that Amber executables (e.g. tleap, antechamber) are available system-wide.
Amber includes a dedicated Python environment with installed modules such as parmed, pytraj, and others. To use Amber’s Python interpreter:
/opt/software/packages/amber/22/miniconda/bin/python
This environment ensures that ParmEd scripts work out of the box. To activate ParmEd in a Python script:
import parmed as pmd
Further information can be found in the ParmEd documentation and the Amber manual:
ParmEd GROMACS conversion: https://parmed.github.io/ParmEd/html/gromacs.html#setting-up-gromacs
Amber22 Manual: https://ambermd.org/doc12/Amber22.pdf
Citing Amber 2022
D.A. Case, H.M. Aktulga, K. Belfon, I.Y. Ben-Shalom, J.T. Berryman, S.R. Brozell, D.S. Cerutti, T.E. Cheatham, III, G.A. Cisneros, V.W.D. Cruzeiro, T.A. Darden, R.E. Duke, G. Giambasu, M.K. Gilson, H. Gohlke, A.W. Goetz, R. Harris, S. Izadi, S.A. Izmailov, K. Kasavajhala, M.C. Kaymak, E. King, A. Kovalenko, T. Kurtzman, T.S. Lee, S. LeGrand, P. Li, C. Lin, J. Liu, T. Luchko, R. Luo, M. Machado, V. Man, M. Manathunga, K.M. Merz, Y. Miao, O. Mikhailovskii, G. Monard, H. Nguyen, K.A. O’Hearn, A. Onufriev, F. Pan, S. Pantano, R. Qi, A. Rahnamoun, D.R. Roe, A. Roitberg, C. Sagui, S. Schott-Verdugo, A. Shajan, J. Shen, C.L. Simmerling, N.R. Skrynnikov, J. Smith, J. Swails, R.C. Walker, J. Wang, J. Wang, H. Wei, R.M. Wolf, X. Wu, Y. Xiong, Y. Xue, D.M. York, S. Zhao, and P.A. Kollman (2022), Amber 2022, University of California, San Francisco.
Last update by Milán SZŐRI: 2025-11-25