Post-translational modifications modulate the activity of most eukaryote proteins. Analysis of
these modifications presents formidable challenges but their determination generates …

The quantification of differences between two or more physiological states of a biological
system is among the most important but also most challenging technical tasks in proteomics …

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

The toxicity of metal oxide nanomaterials and their antimicrobial activity is attracting
increasing attention. Among these materials, MgO is particularly interesting as a low cost …

Post-translational modifications generate tremendous diversity, complexity and
heterogeneity of gene products, and their determination is one of the main challenges in …

Unbiased data-independent acquisition (DIA) strategies have gained increased popularity in
the field of quantitative proteomics. The integration of ion mobility separation (IMS) into DIA …

A novel database search algorithm is presented for the qualitative identification of proteins
over a wide dynamic range, both in simple and complex biological samples. The algorithm …

The characterization of phosphorylated proteins is a challenging analytical task since many
of the proteins targeted for phosphorylation are low in abundance and phosphorylation is …

The detection, correlation, and comparison of peptide and product ions from a data
independent LC‐MS acquisition strategy with data dependent LC‐MS/MS is described. The …

A new approach to obtain fragmentation information in liquid chromatography/mass
spectrometry (LC/MS) studies of small molecules in complex mixtures is presented using …