After 5 of those trajectories have been created, use get_rw_scores.py to score the frames of each trajectory using RWPlus
avg_struct.sh can then create a single averaged structure from each top-scoring-frames trajectory, run SCWRL4 on it to optimize sidechains, then energy minimize.
Dependencies: RWPlus, SCWRL4, Gromacs Python libraries: OpenMM, MDTraj
SCWRL4 license and install instructions available at: http://dunbrack.fccc.edu/SCWRL3.php/
The calRWplus executable is available at: https://zhanggroup.org/RW/
A direct link to install the calRWplus executable and required *dat files for 64-bit Linux systems: https://zhanggroup.org/RW/calRWplus.tar.gz
Details on installing Gromacs are available at: https://manual.gromacs.org/documentation/current/install-guide/index.html
Note: Gromacs is only used for its supporting tools, not actual running of MD simulations.
OpenMM is a python library that can be installed with conda:
conda install -c conda-forge openmm
MDTraj is also a python library that can be installed with conda:
conda install -c conda-forge mdtraj