Michael Toft Overgaard

The paper compares the clinical impact of missense variants in CALM1, CALM2, and CALM3 genes by analyzing expression levels and translation efficiency in cardiac tissue.

This study investigates how calmodulin mutations affect voltage-gated calcium channel regulation in neurons, linking these effects to neurological symptoms in calmodulinopathies.

Pfly predicts peptide detectability in mass spectrometry using a deep learning model trained on synthetic and biological data, offering customizable classification for different experimental conditions.

This study characterizes the proteome of brewers spent grain (BSG) and identifies key proteins, differential abundance, and safety concerns to guide downstream processing for functional food ingredients.

This study identifies a seasonal regulation of satiety-related genes and proteins in brown bear adipose tissue during hibernation, suggesting a local mechanism for energy management and satiety.

The paper uses deep learning to analyze how neighboring amino acid pairs affect MS1 intensity, identifying key motifs and their impact on peptide response.

The paper develops a deep learning model to predict peptide MS1 intensities using sequence data and identifies key physicochemical properties influencing the response.