| # 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: | |
| ```text | |
| 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: | |
| ```bash | |
| colabfold_batch input.fasta output \ | |
| --data weight/alphafold \ | |
| --model-type alphafold2_multimer_v3 | |
| ``` | |
| The SCNet adaptation reused weights stored outside this repository at: | |
| ```text | |
| /public/home/scnb9biwet/wuxg/dl_binder_design-main/af2_initial_guess/model_weights/params | |
| ``` | |