Gut microorganisms modulate host phenotypes and are associated with numerous health
effects in humans, ranging from host responses to cancer immunotherapy to metabolic …

Nanospray desorption electrospray ionization (nano-DESI) is a liquid-based ambient mass
spectrometry imaging (MSI) technique that enables visualization of analyte distributions in …

Mass‐spectrometry based bottom‐up proteomics is the main method to analyze proteomes
comprehensively and the rapid evolution of instrumentation and data analysis has made the …

Glycans constitute the most complicated post-translational modification, modulating protein
activity in health and disease. However, structural annotation from tandem mass …

This letter is devoted to the application of machine learning, namely, convolutional neural
networks to solve problems in the initial steps of the common pipeline for data analysis in …

Many of the novel ideas that drive today's proteomic technologies are focused essentially on
experimental or data-processing workflows. The latter are implemented and published in a …

Chitosans are promising biopolymers for diverse applications, with material properties and
bioactivities depending ia. on their pattern of acetylation (PA). Commercial chitosans are …

Abstract Machine learning (ML) and deep learning (DL) models for peptide property
prediction such as Prosit have enabled the creation of high quality in silico reference …

Archaea play indispensable roles in global biogeochemical cycles, yet many crucial cellular
processes, including cell-shape determination, are poorly understood. Haloferax volcanii, a …

Mass spectrometry imaging (MSI) provides information about the spatial localization of
molecules in complex samples with high sensitivity and molecular selectivity. Although point …