Comments (2)
Hi Alex,
We usually only do changelog when the updates actually change the result. So far all the changes since v1.5.0 have been focused on making sure ColabFold still runs on Google Colab. Sometimes Colab environment changes (like Python version or jax version or biopython version) and we have to make updates to make sure all still runs without error.
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Thanks for confirming! For my own clarification, this means that if our site currently offers 1.5.2 (via terminal interaction, not Colab) presently, there is no discernible performance or feature gain from installing 1.5.5?
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Related Issues (20)
- [BUG] batch error when colabfold_search --use-templates in local search HOT 5
- `colabfold_search` 1.5.5 names first sequence in `.a3m` file universally 101 HOT 1
- Suggestion: Move .m8 file generation outside of template database to avoid read-only database conflict HOT 3
- colabfold_batch fails with "Could not get MSA/templates list index out of range" on MSA from colabfold_search HOT 2
- Find out the exact version of the remote sequence libraries used to build the msa with colabfold_batch HOT 1
- HHSearch failed: hhsearch: Problem with data file. Is the file empty or is another process reading it?: Invalid argument HOT 1
- Pending. Issue running cell line 331
- Model weights download every time when running colabfold_batch HOT 2
- Jax dependency Issue HOT 12
- Local generation of .m8 file causes wrong template selection in colabfold_batch HOT 4
- pdb100_230517_seq does not exist issue HOT 3
- Cannot find output PDB files HOT 2
- can't reproduce results with same a3m file. HOT 1
- Possible Memory Leak or Excessive RAM Usage Error in batch model of colabfold_batch Locally HOT 3
- Error in using custom mode and pdb file HOT 1
- evoformer embeddings
- No info in output.cvs LazyAF colab AlphaFold2-Multimer HOT 1
- Difference between AF and AF advanced
- Failing to convert tsv to exprofiledb for Uniref30 files in setup_databases.sh HOT 2
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