Hi,
Just wanted to add to this:
" and may therefore not align all that well with your particular study focusing on a single known protein"
I have been using PeptideShaker so far mostly with studies of a model protein considering many PTMs. The protein score is always doubtful since (as expected) it can't estimate accurately a protein FDR distribution.
For the peptides and PTM annottations it's mixed. Peptides are still usually classified (max) as doubtful but with 100 confidence.
For PTMs it can have full classification of "Confident", but in some scenarios even if the MSMS scan is well annottated, it can give low confidence values.
My guess in this particular scenario, is that many of the other MSMS events were so superior with respect to absolute intensities, even this good MSMS that I would happily accept through manual annotation is still considered "bad".
All in all, Kelvin, I think it can work for you as long as you make sure to rely more on manual checks on the MSMS annottations than the statistic filtering when you are working with a single protein. In my humble experience, the annottation and visualization of PeptideShaker is vastly superior from many other tools I have tested, SPECIALLY when you know specific reporter ions or losses from the PTM that you are looking for since it can annottate them (although they are not used for scoring? Am I correct to assume this, Harald?).
Cheers and good luck!
Sincerely,
JC