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pip install omegaconf hydra-core bitarray rdkit-pypi scipy lmdb numba scikit-learndata foldermkdir ./results All Generation Results will be placed in such subdir.make sample_profile -f scripts.mk to sample protein family based MSA. Note that inputs with inconsistent lengths would be automatically aligned.make sample_sequence -f scripts.mk to sample protein family based on single protein sequence.test/ccmpred and follow instructions as their README.results/sample_profile dir after the sampling process1cd test/ccmpred
2docker build -f docker/Dockerfile -t exp/contact_evaluation .
3CUDA_VISIBLE_DEVICES=4,5,6,7 ./scripts/run_evaluate.sh -i <input_dir> -o <output_dir>1@article{gong2025steering,
2 title={Steering Protein Family Design through Profile Bayesian Flow},
3 author={Gong, Jingjing and Pei, Yu and Long, Siyu and Song, Yuxuan and Zhang, Zhe and Huang, Wenhao and Cao, Ziyao and Zhang, Shuyi and Zhou, Hao and Ma, Wei-Ying},
4 journal={arXiv preprint arXiv:2502.07671},
5 year={2025}
6}
7