In recent years machine learning has made extensive progress in modeling many aspects of mass spectrometry data. We brought together proteomics data generators, repository …
S Tiwary, R Levy, P Gutenbrunner, F Salinas Soto… - Nature …, 2019 - nature.com
Peptide fragmentation spectra are routinely predicted in the interpretation of mass- spectrometry-based proteomics data. However, the generation of fragment ions has not …
BACKGROUND For many years, basic and clinical researchers have taken advantage of the analytical sensitivity and specificity afforded by mass spectrometry in the measurement of …
MA Kuzyk, D Smith, J Yang, TJ Cross… - Molecular & Cellular …, 2009 - ASBMB
Mass spectrometry-based multiple reaction monitoring (MRM) quantitation of proteins can dramatically impact the discovery and quantitation of biomarkers via rapid, targeted …
CE Parker, CH Borchers - Molecular oncology, 2014 - Elsevier
In its early years, mass spectrometry (MS)-based proteomics focused on the cataloging of proteins found in different species or different tissues. By 2005, proteomics was being used …
S Gallien, E Duriez, B Domon - Journal of Mass Spectrometry, 2011 - Wiley Online Library
Selected reaction monitoring (SRM) performed on triple quadrupole mass spectrometers has been the reference quantitative technique to analyze small molecules for several …
Protein biomarker discovery produces lengthy lists of candidates that must subsequently be verified in blood or other accessible biofluids. Use of targeted mass spectrometry (MS) to …
Structural characterization of large multi-subunit protein complexes often requires integrating various experimental techniques. Cross-linking mass spectrometry (XL-MS) …
Traditional shotgun proteomics used to detect a mixture of hundreds to thousands of proteins through mass spectrometric analysis, has been the standard approach in research …