Software:ProteinProphet
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| ==More info== | ==More info== | ||
| Since MS/MS spectra are produced by peptides, and not proteins, there is a need for an additional statistical model for validation of the identifications at the protein level. We developed a model that has as input the list of peptides assigned to MS/MS spectra and corresponding probabilities that those peptide assignments are correct. Different peptide identifications corresponding to the same protein are combined together to estimate the probability that their corresponding protein is present in the sample. This protein grouping information is then employed to adjust the individual peptide probabilities, thus making the approach more discriminative. We also address the problem that we call degeneracy, which occurs when one peptide corresponds to several different proteins. | Since MS/MS spectra are produced by peptides, and not proteins, there is a need for an additional statistical model for validation of the identifications at the protein level. We developed a model that has as input the list of peptides assigned to MS/MS spectra and corresponding probabilities that those peptide assignments are correct. Different peptide identifications corresponding to the same protein are combined together to estimate the probability that their corresponding protein is present in the sample. This protein grouping information is then employed to adjust the individual peptide probabilities, thus making the approach more discriminative. We also address the problem that we call degeneracy, which occurs when one peptide corresponds to several different proteins. | ||
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| + | ==Usage== | ||
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| + | ==Caution for large datasets== | ||
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| + | ==protXML output format== | ||
| ==Reference== | ==Reference== | ||
| Nesvizhskii AI, Keller A, Kolker E, Aebersold R. (2003) "A statistical model for identifying proteins by tandem mass spectrometry." Anal Chem 75:4646-58 | Nesvizhskii AI, Keller A, Kolker E, Aebersold R. (2003) "A statistical model for identifying proteins by tandem mass spectrometry." Anal Chem 75:4646-58 | ||
| [http://tools.proteomecenter.org/publications/Nesvizhskii.AnalChem.03.pdf download PDF] | [http://tools.proteomecenter.org/publications/Nesvizhskii.AnalChem.03.pdf download PDF] | ||
Revision as of 21:10, 12 December 2008
Contents |
Getting the software
This software is included in the current TPP distribution.
In a nutshell
ProteinProphet is a tool for generating probablities for protein identifications based on MS/MS data. ProteinProphet makes use of results from PeptideProphet, which produces validation results for peptide sequence identifications. This software was originally developed at the SPC, part of the ISB. ProteinProphet is an integral part of the Trans-Proteomic Pipeline software distribution.
More info
Since MS/MS spectra are produced by peptides, and not proteins, there is a need for an additional statistical model for validation of the identifications at the protein level. We developed a model that has as input the list of peptides assigned to MS/MS spectra and corresponding probabilities that those peptide assignments are correct. Different peptide identifications corresponding to the same protein are combined together to estimate the probability that their corresponding protein is present in the sample. This protein grouping information is then employed to adjust the individual peptide probabilities, thus making the approach more discriminative. We also address the problem that we call degeneracy, which occurs when one peptide corresponds to several different proteins.
Usage
Caution for large datasets
protXML output format
Reference
Nesvizhskii AI, Keller A, Kolker E, Aebersold R. (2003) "A statistical model for identifying proteins by tandem mass spectrometry." Anal Chem 75:4646-58 download PDF
