Nikita Levin

The paper evaluates photon- and electron-based fragmentation methods for glycopeptide analysis using Omnitrap-LCMS, finding UVPD and EID provide detailed structural information comparable to traditional methods.

The paper develops a deep learning model that integrates multiple fragmentation techniques into standard LC-MS workflows, improving proteome coverage and identification rates.

This paper introduces a method to track neurodegeneration biomarkers using PET imaging with isosteric protein mimics, revealing spinal fluid dynamics and neuronal loss mechanisms.

The paper characterizes an Omnitrap-Orbitrap mass spectrometer with multiple ion activation methods, showing its versatility in peptide and protein analysis.

This paper describes a light-mediated method for stereoretentive post-translational protein editing that generates site-selectively edited proteins with full stereochemistry retention.