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--- |
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license: afl-3.0 |
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--- |
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Here, the tar file contains only the LMDB files of the training dataset and the checkpoints for HuDiff-Ab and HuDiff-Nb. |
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For the code and further details, please visit the [HuDiff GitHub repository](https://github.com/TencentAI4S/HuDiff). |
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Below are simple code templates for utilizing the checkpoint to humanize the sequences. |
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## HuDiff-Ab Humanization |
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There are two ways to humanize an antibody, either by using a complex fasta file containing antigen-antibody sequences or by providing individual heavy and light chain sequences. |
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``` |
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python antibody_scripts/sample_for_anti_cdr.py |
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--ckpt checkpoints/antibody/hudiffab.pt |
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--anti_complex_fasta data/fasta_file/7k9i.fasta |
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``` |
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Keep in mind that you need to replace 7k9i.fasta. |
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## HuDiff-Nb Humanization |
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Using the fasta file of the nanobody, our model can humanize it. If you require a higher degree of humanization, consider increasing the batch size or the number of samplings. |
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``` |
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python nanobody_scripts/sample_for_nano_cdr.py |
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--ckpt checkpoints/nanobody/hudiffnb.pt |
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--nano_complex_fasta data/fasta_file/7x2l.fasta |
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--model finetune_vh |
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--inpaint_sample True |
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``` |
