MS2PIP: a tool for MS/MS peak intensity prediction
نویسندگان
چکیده
منابع مشابه
MS2PIP: a tool for MS/MS peak intensity prediction
MOTIVATION Tandem mass spectrometry provides the means to match mass spectrometry signal observations with the chemical entities that generated them. The technology produces signal spectra that contain information about the chemical dissociation pattern of a peptide that was forced to fragment using methods like collision-induced dissociation. The ability to predict these MS(2) signals and to u...
متن کاملData and text mining MS2PIP: a tool for MS/MS peak intensity prediction
Motivation: Tandem mass spectrometry provides the means to match mass spectrometry signal observations with the chemical entities that generated them. The technology produces signal spectra that contain information about the chemical dissociation pattern of a peptide that was forced to fragment using methods like collision induced dissociation. The ability to predict these MS signals and to und...
متن کاملMS2PIP prediction server: compute and visualize MS2 peak intensity predictions for CID and HCD fragmentation
We present an MS(2) peak intensity prediction server that computes MS(2) charge 2+ and 3+ spectra from peptide sequences for the most common fragment ions. The server integrates the Unimod public domain post-translational modification database for modified peptides. The prediction model is an improvement of the previously published MS(2)PIP model for Orbitrap-LTQ CID spectra. Predicted MS(2) sp...
متن کاملMSPIP: a tool for MS/MS peak intensity prediction
Motivation: Tandem mass spectrometry provides the means to match mass spectrometry signal observations with the chemical entities that generated them. The technology produces signal spectra that contain information about the chemical dissociation pattern of a peptide that was forced to fragment using methods like collision-induced dissociation. The ability to predict these MS signals and to und...
متن کاملImproved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting
Mass spectrometry (MS) is a key technique for the analysis and identification of proteins. A prediction of spectrum peak intensities from pre computed molecular features would pave the way to a better understanding of spectrometry data and improved spectrum evaluation. The goal is to model the relationship between peptides and peptide peak heights in MALDI-TOF mass spectra, only using the pepti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2013
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btt544