Simple MSA
Project description
MSA by ML researchers for ML researchers --️ in pytorch/cuda ❤️
pip install sseqs
wget https://foldify.org/uniref_bfd_mgy_cf.xbit
from sseqs import msa
msa("HPETLVKVKDAEDQLGARVGYIELDLNSGKILE...", "msa.a3m")
No need for $5h/h 1000GB RAM server. Developed on/for desktop with rtx4090+128GB RAM for $0.3/h on vast.ai.
limitations
- no protein pairing
- sequence length < 1000 (working on 2048)
- 128gb RAM (working on 64GB w/ compression)
- server.py supporting Boltz2 MSA-server (adding soon)
- no <16GB approximate version (yet)
- no evals (working on runs'n'poses + antibody)
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