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» Computational Quantification of Peptides from LC-MS Data
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BMCBI
2007
131views more  BMCBI 2007»
13 years 5 months ago
Prediction of peptides observable by mass spectrometry applied at the experimental set level
Background: When proteins are subjected to proteolytic digestion and analyzed by mass spectrometry using a method such as 2D LC MS/MS, only a portion of the proteotypic peptides a...
William S. Sanders, Susan M. Bridges, Fiona M. McC...
HAIS
2008
Springer
13 years 6 months ago
Clustering Likelihood Curves: Finding Deviations from Single Clusters
For systematic analyses of quantitative mass spectrometry data a method was developed in order to reveal peptides within a protein, that show differences in comparison with the rem...
Claudia Hundertmark, Frank Klawonn
BMCBI
2007
127views more  BMCBI 2007»
13 years 5 months ago
The EIPeptiDi tool: enhancing peptide discovery in ICAT-based LC MS/MS experiments
Background: Isotope-coded affinity tags (ICAT) is a method for quantitative proteomics based on differential isotopic labeling, sample digestion and mass spectrometry (MS). The me...
Mario Cannataro, Giovanni Cuda, Marco Gaspari, Ser...
BMCBI
2010
109views more  BMCBI 2010»
13 years 5 months ago
Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model
Background: The binding of peptide fragments of extracellular peptides to class II MHC is a crucial event in the adaptive immune response. Each MHC allotype generally binds a dist...
Andrew J. Bordner, Hans D. Mittelmann
BMCBI
2006
172views more  BMCBI 2006»
13 years 5 months ago
A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data
Background: Tandem mass spectrometry (MS/MS) is a powerful tool for protein identification. Although great efforts have been made in scoring the correlation between tandem mass sp...
Zhuo Zhang, Shiwei Sun, Xiaopeng Zhu, Suhua Chang,...