Paleoproteomics, the study of ancient proteins, is a rapidly growing field at the intersection of
molecular biology, paleontology, archaeology, paleoecology, and history. Paleoproteomics …

This review provides a brief overview of the development of data‐independent acquisition
(DIA) mass spectrometry‐based proteomics and selected DIA data analysis tools. Various …

MaxDIA is a software platform for analyzing data-independent acquisition (DIA) proteomics
data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves …

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 …

Deep learning (DL) is powerful to find patterns or hidden information from data using neural
networks. With the growth of data and computing capabilities, DL has rapidly advanced and …

Data-independent acquisition (DIA) mass spectrometry (MS) has emerged as a powerful
technology for high-throughput, accurate, and reproducible quantitative proteomics. This …

De novo peptide sequencing, which does not rely on a comprehensive target sequence
database, provides us with a way to identify novel peptides from tandem mass spectra …

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 …

Recent advances in mass spectrometry (MS)-based proteomics have enabled tremendous
progress in the understanding of cellular mechanisms, disease progression, and the …

Artificial intelligence (AI) methods have been and are now being increasingly integrated in
prediction software implemented in bioinformatics and its glycoscience branch known as …