Wallman unpacks how graph-level fragmentation in fragDETR captures internal fragments and neutral losses, with peak and ...
Deep learning has achieved a notable success in mass spectrometry-based proteomics and is now emerging in glycoproteomics. While various deep learning models can predict fragment mass spectra of ...
Fragment 176-191, a synthetic peptide derived from the larger growth hormone (hGH), has garnered attention due to its possible role in regulating metabolic processes and modulating specific ...
BPC-157 and TB-500, originating from gastric and thymic sources respectively, both influence angiogenesis, cytoskeletal ...
Tandem mass spectrometry is a powerful tool in proteomics. By ionizing peptides and then fragmenting those ions into smaller product ions, researchers can determine the biomolecules’ amino acid ...
Your talk at ASMS was on “PeptDeepKontext: A Universal Model for Predicting Peptide Properties Across Instruments, Conditions ...
Mass spectrometry-based proteomics is indispensable for studying post-translational modifications. Cyclic immonium ions serve as invaluable diagnostic markers for lysine acylations, yet the principles ...
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