Abstract Coronavirus disease 2019 (COVID-19), a highly infectious disease caused by
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected more than …

The recent development of machine learning methods to identify peptides in complex mass
spectrometric data constitutes a major breakthrough in proteomics. Longstanding methods …

Abstract The PRoteomics IDEntifications (PRIDE) database (https://www. ebi. ac. uk/pride/) is
the world's largest data repository of mass spectrometry-based proteomics data. PRIDE is …

Liquid chromatography (LC) coupled with data-independent acquisition (DIA) mass
spectrometry (MS) has been increasingly used in quantitative proteomics studies. Here, we …

Current mass spectrometry methods enable high-throughput proteomics of large sample
amounts, but proteomics of low sample amounts remains limited in depth and throughput. To …

Peptides are biopolymers, typically consisting of 2–50 amino acids. They are biologically
produced by the cellular ribosomal machinery or by non-ribosomal enzymes and …

A plethora of software suites and multiple classes of spectral libraries have been developed
to enhance the depth and robustness of data-independent acquisition (DIA) data …

The data‐independent acquisition mass spectrometry (DIA‐MS) has rapidly evolved as a
powerful alternative for highly reproducible proteome profiling with a unique strength of …

Mass spectrometry-based proteomics is constantly challenged by the presence of
contaminant background signals. In particular, protein contaminants from reagents and …

Mass spectrometry-based biomolecular analyses have become permanent fixtures of
academic, industrial, and clinical research settings. The rise in utilization of mass …