eunos-1128 / SPEACH_AF

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SPEACH_AF

Sampling Protein Ensembles and Conformational Heterogeneity with Alphafold2

Files

SPEACH_AF_scan (jupyter notebook): will generate modified MSA files (alanine mutagenesis) based on an initial MSA and PDB requires: Bio, numpy, copy

To run multiple copies use the following command (this replaces the modified batch.py file):
Colabfold_batch input output --num-seeds X

Data Directory

Data files associated with SPEACH_AF paper

References

Paper

  • Stein, SPEACH_AF: Sampling protein ensembles and conformational heterogeneity with Alphafold2.
    PLoS Comput Biol (2022) 18(8), e1010483 doi: 10.1371/journal.pcbi.1010483

If using ColabFold and Alphafold do not forget to cite these references and any associated references from using ColabFold

  • Mirdita M, Schütze K, Moriwaki Y, Heo L, Ovchinnikov S and Steinegger M. ColabFold - Making protein folding accessible to all.
    Nat Methods (2022) 19(6), 679-682. doi: 10.1038/s41592-022-01488-1
  • Jumper et al. "Highly accurate protein structure prediction with AlphaFold."
    Nature (2021) 596, 583–589. doi: 10.1038/s41586-021-03819-2

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License:MIT License


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Language:Python 88.7%Language:Jupyter Notebook 11.3%