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jkwang93 avatar jkwang93 commented on June 24, 2024

sorry it was my mistake~

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alexarnimueller avatar alexarnimueller commented on June 24, 2024

Hey jkwang93
Thanks for your interest and great you could fix it.
Good luck with your work

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jkwang93 avatar jkwang93 commented on June 24, 2024

Hello Alex,

Here are some questions I hope you can answer.
I use RNN training, which will overfit and generate more polypeptides that are repeated with the training set. And random, the generated peptides are not repeated, and have good diversity (use clustaW to test pairwise) and activity; there is even helice, which has a higher activity ratio. So I am very confused, what are the advantages of so many subsequent AI-based AMP designs compared to random and helice? Or where are the shortcomings of random and helice?

Thank you very much~

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alexarnimueller avatar alexarnimueller commented on June 24, 2024

did you have a look at the documentation of modlamp.org ? it explains the different classes of sequences that can be constructed

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jkwang93 avatar jkwang93 commented on June 24, 2024

Thank you, I have read the document here, is it convenient for you to provide an email address (my email: [email protected]), so that our communication is more convenient.
Thank you so much.

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