On the estimation of false positives in peptide identifications using decoy search strategy
نویسندگان
چکیده
منابع مشابه
Statistical validation of peptide identifications in large-scale proteomics using the target-decoy database search strategy and flexible mixture modeling.
Reliable statistical validation of peptide and protein identifications is a top priority in large-scale mass spectrometry based proteomics. PeptideProphet is one of the computational tools commonly used for assessing the statistical confidence in peptide assignments to tandem mass spectra obtained using database search programs such as SEQUEST, MASCOT, or X! TANDEM. We present two flexible meth...
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Using decoy databases to compute the confidence of peptide identifications has become the standard procedure for mass spectrometry driven proteomics. While decoy databases have numerous advantages, they double the run time and are not applicable to all peptide identification problems such as error-tolerant or de novo searches or the large-scale identification of cross-linked peptides. Instead, ...
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15 صفحه اولFusion proteins could generate false positives in peptide phage display.
Fusion proteins are frequently used in the functional characterization of newly discovered proteins and to identify interacting partners. In our study of hPTP1E, a cytosolic protein tyrosine phosphatase, we used glutathione S-transferase (GST)-fusion protein of the second PDZ domain to identify interacting peptide motifs by peptide phage display. A consensus motif G X X V W L G was identified a...
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ژورنال
عنوان ژورنال: PROTEOMICS
سال: 2009
ISSN: 1615-9853,1615-9861
DOI: 10.1002/pmic.200800330