weight/README.md

CombFold weights

CombFold itself has no trainable weights. Pair and group structures are predicted with pretrained AlphaFold-Multimer through ColabFold.

For a self-contained offline package, place the five official Multimer v3 files in:

weight/alphafold/params/params_model_1_multimer_v3.npz
weight/alphafold/params/params_model_2_multimer_v3.npz
weight/alphafold/params/params_model_3_multimer_v3.npz
weight/alphafold/params/params_model_4_multimer_v3.npz
weight/alphafold/params/params_model_5_multimer_v3.npz
weight/alphafold/params/download_complexes_multimer_v3_finished.txt

Pass the directory above params to ColabFold:

colabfold_batch input.fasta output \
  --data weight/alphafold \
  --model-type alphafold2_multimer_v3

The SCNet adaptation reused weights stored outside this repository at:

/public/home/scnb9biwet/wuxg/dl_binder_design-main/af2_initial_guess/model_weights/params