Proteomics, the study of all the proteins in biological systems, is becoming a data‐rich
science. Protein sequences and structures are comprehensively catalogued in online …

At the current state of development of chemistry, it appears easier to synthesize a compound
with a definite chemical structure than with a certain required property. Usually, reaction …

Data-independent acquisition (DIA) is an emerging technology for quantitative proteomic
analysis of large cohorts of samples. However, sample-specific spectral libraries built by …

Multiple reaction monitoring (MRM) has recently become the method of choice for targeted
quantitative measurement of proteins using mass spectrometry. The method, however, is …

In recent years machine learning has made extensive progress in modeling many aspects of
mass spectrometry data. We brought together proteomics data generators, repository …

This review provides a broad overview of recent Fourier transform ion cyclotron resonance
(FTICR) applications and technological developments relevant to the field of proteomics …

Genomics-based neoantigen discovery can be enhanced by proteomic evidence, but there
remains a lack of consensus on the performance of different quality control methods for …

Mass-spectrometry-based proteomics enables quantitative analysis of thousands of human
proteins. However, experimental and computational challenges restrict progress in the field …

The enormous complexity, wide dynamic range of relative protein abundances of interest
(over 10 orders of magnitude), and tremendous heterogeneity (due to post-translational …

Over the past few years, the number and size of proteomic datasets composed of mass
spectrometry-derived protein identifications reported in the literature have grown …