ProteinMPNN/training/test_inference.sh

#!/bin/bash
#SBATCH -p gpu
#SBATCH --mem=32g
#SBATCH --gres=gpu:rtx2080:1
#SBATCH -c 3
#SBATCH --output=example_3_model_w_test.out

source activate mlfold

path_to_PDB="../inputs/PDB_monomers/pdbs/5L33.pdb"

output_dir="../outputs/training_test_output"
if [ ! -d $output_dir ]
then
    mkdir -p $output_dir
fi

chains_to_design="A"


python ../protein_mpnn_run.py \
        --path_to_model_weights "../training/exp_020/model_weights" \
        --model_name "epoch_last" \
        --pdb_path $path_to_PDB \
        --pdb_path_chains "$chains_to_design" \
        --out_folder $output_dir \
        --num_seq_per_target 8 \
        --sampling_temp "0.1" \
        --seed 37 \
        --batch_size 1