Hi David,

The samples have been digested with a cocktail of enzymes, therefore
non specific and no enzymatic rules. That's what I thought too that I
would have to turn off NTT and NMC for these type of data. I run them
by specifying "nonspecific" both for Out2XML or Mascot2XML as well as
for xinteract -nE. But although I could see a lot of nice spectrum,
most of them were not validated or discarded. Will try the NTT or NMC
off. I just wanted to have some input about how someone should
validate such type of dataset as usual one have some enzyme
specificity.

Thanks David.

Alex

On Mar 26, 7:58 pm, David Shteynberg <[email protected]>
wrote:
> Hi Alex,
>
> Is the search non-specific or there the correct peptides are not
> expected to conform to any enzymatic rules?  If it is the latter you
> should disable the NTT and NMC models in the TPP, since correct
> peptides are not any more likely to have certain ends than the
> incorrect peptides.  If it is the former then you should specify the
> enzyme when you run InteractParser and that way the NTT and NMC info
> will be recorded in the interact.pep.xml file despite the search being
> nonspecific.  Does that make sense?
>
> -David
>
>
>
> On Fri, Mar 26, 2010 at 6:12 AM, Alex <[email protected]> wrote:
> > Hi All,
>
> > I'd like to have some opinions on how to validate a dataset with
> > no_enzyme specificty using PeptideProphet ?
>
> > Until now it looks like it's difficult to get a model working. I
> > converted to pepxml using -Enonspecific from Mascot or Sequest by it
> > looks like the model has difficulty. I'm wondering who has experience
> > with nonspecific samples and validation. Should I turn off some
> > standard features like -OFNM ???
>
> > Thanks for any help.
>
> > Alex
>
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