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8.86 kB
| cat << 'EOF' | |
| ____ _ _ _ _ _ _ ____ _ _____ ____ _ _ ____ _ _ ____ _ ____ _ _ | |
| ____ __ ____ _ ____ _ __ __ _ | |
| / ___| _ _ _ __ / _| _ \ ___ ___| | __ | __ ) ___| |_ __ _ \ \ / /__ _ __ ___(_) ___ _ __ | |
| \___ \| | | | '__| |_| | | |/ _ \ / __| |/ / | _ \ / _ \ __/ _` | \ \ / / _ \ '__/ __| |/ _ \| '_ \ | |
| ___) | |_| | | | _| |_| | (_) | (__| < | |_) | __/ || (_| | \ V / __/ | \__ \ | (_) | | | | | |
| |____/ \__,_|_| |_| |____/ \___/ \___|_|\_\ |____/ \___|\__\__,_| \_/ \___|_| |___/_|\___/|_| |_| | |
| ____ _ _ _ _ _ _ ____ _ _____ ____ _ _ ____ _ _ ____ _ ____ _ _ | |
| EOF | |
| # This script is used to run SurfDock on test samples | |
| source ~/miniforge3/bin/activate SurfDock | |
| path=$(readlink -f "$0") | |
| SurfDockdir="$(dirname "$(dirname "$(dirname "$(dirname "$path")")")")" | |
| SurfDockdir=${SurfDockdir} | |
| echo SurfDockdir : ${SurfDockdir} | |
| temp="$(dirname "${SurfDockdir}")" | |
| model_temp=${SurfDockdir} | |
| #------------------------------------------------------------------------------------------------# | |
| #------------------------------------ Step0 : Setup Params --------------------------------------# | |
| #------------------------------------------------------------------------------------------------# | |
| echo '------------------------------------ Step1 : Setup Params --------------------------------------' | |
| export precomputed_arrays="${temp}/precomputed/precomputed_arrays" | |
| gpu_string="0" | |
| echo "Using GPU devices: ${gpu_string}" | |
| IFS=',' read -ra gpu_array <<< "$gpu_string" | |
| NUM_GPUS=${#gpu_array[@]} | |
| export CUDA_VISIBLE_DEVICES=${gpu_string} | |
| main_process_port=2951${gpu_array[-1]} | |
| n_jobs=30 | |
| project_name='SurfDock_eval_samples_skip_target_processed' | |
| ## Please set the path to the input data | |
| data_dir=${SurfDockdir}/model/data/Screen_sample_dirs/test_samples | |
| esmbedding_dir=${temp}/Eval_result/processed_data/${project_name}/test_samples_esmbedding | |
| # Set default value for target_have_processed if not already set | |
| target_have_processed=${target_have_processed:-true} | |
| ## Please set the path to save the surface file and pocket file | |
| surface_out_dir=${temp}/Eval_result/processed_data/${project_name}/test_samples_8A_surface | |
| ## Please set the path to the output csv file | |
| out_csv_dir=${temp}/Eval_result/processed_data/${project_name}/input_csv_files/ | |
| out_csv_file=${out_csv_dir}/test_samples.csv | |
| # project_name='SurfDock_Screen_samples/repeat5' | |
| docking_out_dir=${temp}/Eval_result/docking_result/${project_name} | |
| mkdir -p $surface_out_dir | |
| if [ "$target_have_processed" = true ]; then | |
| echo "Target structure has been processed, skipping this step." | |
| else | |
| echo "Processing target structure with OpenBabel..." | |
| export BABEL_LIBDIR=~/miniforge3/envs/SurfDock/lib/openbabel/3.1.0 | |
| command=` | |
| python ${SurfDockdir}/model/comp_surface/protein_process/openbabel_reduce_openbabel.py \ | |
| --data_path ${data_dir} \ | |
| --save_path ${surface_out_dir} \ | |
| --n_jobs ${n_jobs} \ | |
| ` | |
| state=$command | |
| fi | |
| #------------------------------------------------------------------------------------------------# | |
| #----------------------------- Step1 : Compute Target Surface -----------------------------------# | |
| #------------------------------------------------------------------------------------------------# | |
| echo '----------------------------- Step1 : Compute Target Surface -----------------------------------' | |
| mkdir -p $surface_out_dir | |
| cd $surface_out_dir | |
| command=` | |
| python ${SurfDockdir}/model/comp_surface/prepare_target/computeTargetMesh_test_samples.py \ | |
| --data_dir ${data_dir} \ | |
| --out_dir ${surface_out_dir} \ | |
| --n_jobs ${n_jobs} \ | |
| ` | |
| state=$command | |
| #------------------------------------------------------------------------------------------------# | |
| #-------------------------------- Step2 : Get Input CSV File -----------------------------------# | |
| #------------------------------------------------------------------------------------------------# | |
| echo '-------------------------------- Step2 : Get Input CSV File -----------------------------------' | |
| command=` python \ | |
| ${SurfDockdir}/model/inference_utils/construct_csv_input.py \ | |
| --data_dir ${data_dir} \ | |
| --surface_out_dir ${surface_out_dir} \ | |
| --output_csv_file ${out_csv_file} \ | |
| ` | |
| state=$command | |
| #------------------------------------------------------------------------------------------------# | |
| #-------------------------------- Step3 : Get Pocket ESM Embedding ----------------------------# | |
| #------------------------------------------------------------------------------------------------# | |
| echo '-------------------------------- Step3 : Get Pocket ESM Embedding ----------------------------' | |
| esm_dir=${SurfDockdir}/model/esm | |
| sequence_out_file="${esmbedding_dir}/test_samples.fasta" | |
| protein_pocket_csv=${out_csv_file} | |
| full_protein_esm_embedding_dir="${esmbedding_dir}/esm_embedding_output" | |
| pocket_emb_save_dir="${esmbedding_dir}/esm_embedding_pocket_output" | |
| pocket_emb_save_to_single_file="${esmbedding_dir}/esm_embedding_pocket_output_for_train/esm2_3billion_pdbbind_embeddings.pt" | |
| # get faste sequence | |
| command=`python ${SurfDockdir}/model/datasets/esm_embedding_preparation.py \ | |
| --out_file ${sequence_out_file} \ | |
| --protein_ligand_csv ${protein_pocket_csv}` | |
| state=$command | |
| # esm embedding preprateion | |
| command=`python ${esm_dir}/scripts/extract.py \ | |
| "esm2_t33_650M_UR50D" \ | |
| ${sequence_out_file} \ | |
| ${full_protein_esm_embedding_dir} \ | |
| --repr_layers 33 \ | |
| --include "per_tok" \ | |
| --truncation_seq_length 4096` | |
| state=$command | |
| # map pocket esm embedding | |
| command=`python ${SurfDockdir}/model/datasets/get_pocket_embedding.py \ | |
| --protein_pocket_csv ${protein_pocket_csv} \ | |
| --embeddings_dir ${full_protein_esm_embedding_dir} \ | |
| --pocket_emb_save_dir ${pocket_emb_save_dir}` | |
| state=$command | |
| # save pocket esm embedding to single file | |
| command=`python ${SurfDockdir}/model/datasets/esm_pocket_embeddings_to_pt.py \ | |
| --esm_embeddings_path ${pocket_emb_save_dir} \ | |
| --output_path ${pocket_emb_save_to_single_file}` | |
| state=$command | |
| #------------------------------------------------------------------------------------------------# | |
| #------------------------ Step4 : Start Sampling Ligand Confromers ----------------------------# | |
| #------------------------------------------------------------------------------------------------# | |
| echo '------------------------ Step3 : Start Sampling Ligand Confromers ----------------------------' | |
| diffusion_model_dir=${model_temp}/weight/docking | |
| confidence_model_base_dir=${model_temp}/weight/posepredict | |
| protein_embedding=${pocket_emb_save_to_single_file} | |
| test_data_csv=${out_csv_file} | |
| mdn_dist_threshold_test=3.0 | |
| version=6 | |
| dist_arrays=(3) | |
| for i in ${dist_arrays[@]} | |
| do | |
| mdn_dist_threshold_test=${i} | |
| command=`accelerate launch \ | |
| --multi_gpu \ | |
| --main_process_port ${main_process_port} \ | |
| --num_processes ${NUM_GPUS} \ | |
| ${SurfDockdir}/scripts/inference_accelerate.py \ | |
| --data_csv ${test_data_csv} \ | |
| --model_dir ${diffusion_model_dir} \ | |
| --ckpt best_ema_inference_epoch_model.pt \ | |
| --confidence_model_dir ${confidence_model_base_dir} \ | |
| --confidence_ckpt best_model.pt \ | |
| --save_docking_result \ | |
| --mdn_dist_threshold_test ${mdn_dist_threshold_test} \ | |
| --esm_embeddings_path ${protein_embedding} \ | |
| --run_name ${confidence_model_base_dir}_test_dist_${mdn_dist_threshold_test} \ | |
| --project ${project_name} \ | |
| --out_dir ${docking_out_dir} \ | |
| --batch_size 40 \ | |
| --batch_size_molecule 1 \ | |
| --samples_per_complex 40 \ | |
| --save_docking_result_number 40 \ | |
| --head_index 0 \ | |
| --tail_index 10000 \ | |
| --inference_mode evaluate \ | |
| --wandb_dir ${temp}/docking_result/test_workdir` | |
| state=$command | |
| done | |
| cat << 'EOF' | |
| ____ _ _ _ _ _ _ ____ _ _____ ____ _ _ ____ _ _ ____ _ ____ _ _ | |
| ____ __ ____ _ ____ _ _ ____ _ | |
| / ___| _ _ _ __ / _| _ \ ___ ___| | __ / ___| __ _ _ __ ___ _ __ | (_)_ __ __ _ | _ \ ___ _ __ ___| | | |
| \___ \| | | | '__| |_| | | |/ _ \ / __| |/ / \___ \ / _` | '_ ` _ \| '_ \| | | '_ \ / _` | | | | |/ _ \| '_ \ / _ \ | | |
| ___) | |_| | | | _| |_| | (_) | (__| < ___) | (_| | | | | | | |_) | | | | | | (_| | | |_| | (_) | | | | __/_| | |
| |____/ \__,_|_| |_| |____/ \___/ \___|_|\_\ |____/ \__,_|_| |_| |_| .__/|_|_|_| |_|\__, | |____/ \___/|_| |_|\___(_) | |
| |_| |___/ | |
| ____ _ _ _ _ _ _ ____ _ _____ ____ _ _ ____ _ _ ____ _ ____ _ _ | |
| EOF | |