Hi Thomas,

I am not sure what is happening but if you could provide the dataset files
for the two search results I can investigate.   PeptideProphet does
calculate different models for the different crosslink types.

Thanks,
-David

On Thu, Sep 12, 2019 at 8:59 AM Thomas Gossenreiter <
[email protected]> wrote:

> Hi,
>
> I have used Kojak 1.6.1 in the TPP pipeline and got some strange results
> (very similar ms2 spectra from one peptide with similar Kojak scores got
> very different probabilities when running peptide prophet). I have plotted
> the Kojak score vs. the peptide prophet probability for target and decoy
> hits and there is hardly any correlation between the kojak score and the
> probability.
>
> I have repeated the search Kojak version that comes along with TPP (1.5.5)
> using the same settings except for the top_count parameter. I think this
> looks how it should, except for the cross-links which are scored very well
> by Kojak but get a bad peptide prophet probability. Is this the case when
> one peptide has a very good Kojak sub score and the other one a very bad
> score?
>
> Does version 1.6.1 work for you or do you have any idea what is happening
> here? I attached a ppt file with the figures.
>
> I also got a general questions: Is peptide prophet calculating FDRs
> separately for cross-linked, loop-linked and normal peptides?
>
> Kind regards,
> Thomas
>
>
>
>
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