Retrieving predictions

Oktoberfest relies on retrieving predictions from a Koina server that hosts specific models for peptide property prediction. Users can use any publicly available community server or host their own server.

Connecting to a community server

Currently supported intensity models

Intensity models

Description

Prosit_2019_intensity

Developed for HCD tryptic peptides only. We recommend using the Prosit_2020_intensity_HCD model instead, since it showed slightly superior performance on tryptic peptides as well.

Prosit_2020_intensity_HCD

Developed for HCD tryptic and non-tryptic peptides. Supported modifications are oxidation and carbamidomethylation. Latest version we recommend to use for HCD.

Prosit_2020_intensity_CID

Developed for CID tryptic and non-tryptic peptides. Supported modifications are oxidation and carbamidomethylation. Latest version we recommend to use for CID.

Prosit_2020_intensity_TMT

Developed for HCD and CID, tryptic and non-tryptic peptides. Latest version we commend for TMT labeled peptides in general.

Prosit_2023_intensity_timsTOF

Developed for timsTOF, tryptic and non-tryptic peptides. Latest version we commend to use for timsTOF.

Prosit_2023_intensity_XL_CMS2

Developed for HCD cleavable cross-linked peptides (DSSO, DSBU). Supports oxidation and carbamidomethylation.

Prosit_2024_intensity_XL_NMS2

Developed for HCD non-cleavable cross-linked peptides (DSS, BS3). Supports oxidation and carbamidomethylation.

AlphaPept_ms2_generic

Developed for generic data support, including TMT, timsTOF and various instrument types.

ms2pip_2021_HCD

Developed for HCD tryptic and non-tryptic peptides.

iRT models

Description

Prosit_2019_irt

While developed for tryptic peptides only, we did not observe a drop in prediction performance for non-tryptic peptides.

Prosit_2020_irt_TMT

Developed for TMT labeled peptides.

AlphaPept_rt_generic

Developed for for generic data support, including TMT, timsTOF and various instrument types.

Once support for additional models is implemented in Oktoberfest, they will be added here.

Hosting and adding your own models

In case you are planning to host your own private or public instance of Koina or want us to host your model, please refer to the official Koina documentation.