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Hi, I previously used FragPipe to run some searches with default settings and MSBooster enabled, using Prosit from the public instance of Koina (https://koina.wilhelmlab.org:443/v2/models/) for both retention time and intensity prediction. Running additional searches with the same settings failed however.
The reason seems to be that FragPipe by default uses a maximum peptide length of 50 amino acids whereas the Prosit models only support peptides up to 30 amino acids, but longer peptides were previously not rejected by Koina until pull request #157.
I was now wondering how peptides longer than 30 amino acids were handled before this pull request and whether I should repeat the searches that included such peptides.
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Hi, I previously used FragPipe to run some searches with default settings and MSBooster enabled, using Prosit from the public instance of Koina (https://koina.wilhelmlab.org:443/v2/models/) for both retention time and intensity prediction. Running additional searches with the same settings failed however.
The reason seems to be that FragPipe by default uses a maximum peptide length of 50 amino acids whereas the Prosit models only support peptides up to 30 amino acids, but longer peptides were previously not rejected by Koina until pull request #157.
I was now wondering how peptides longer than 30 amino acids were handled before this pull request and whether I should repeat the searches that included such peptides.
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