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Dear authors of AlphaLink2,

Thank you very much for open-sourcing your work on adding more global constraints for protein structure predictions.
There are some global constraints that I can't achieve with designing MSAs, especially for weak interactions and certain angles, where I hope AlphaLink2 will help. I hope my PI will give me good HIV next year.

I added support for precomputed/manually designed MSAs for the Colab notebook and the CLI, while working on the CLI, I also added support for the MMseqs web server, so the sequence databases are not necessary anymore. The last notable quality of live improvement is by making a pickle.gz from the csv directly in run_alphalink.sh. There behaviour does not change when running your commands.

I ran the Colab notebook and got expected results on the multimer that I tested. I added my changes to run_alphalink.sh, before letting it refactor by a LLM and then checking the code again by eye. I did not fully run the prediction, but the model started and did not complain about a missing file and the immediate files also looked as expected.

The only thing, where I am not sure is how I used homomers (e.g. here in your code and commented out here for my MMSeqs and here in my precomputed), as I always expect an MSA part, so homomers are always different MSA/entities(?).

Please let me know if there are some things that you want changed.

Happy holidays and I wish you all the best in the battle of big dinners and festivities at the end of the year!

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