CysNet: Theorem constrained inference of cysteine redox proteoform states from bottom-up mass spectrometry data
CysNet is a novel theorem-constrained computational method that overcomes the limitations of traditional bottom-up mass spectrometry by inferring specific cysteine redox proteoform states (oxiforms) from residue-level data, thereby enabling the deepest and most detailed survey of redox variation to date.