Large-scale in silico spectral library supplies scalable structural priors for de novo molecular generation
This paper introduces SiTGen, a retrieval-augmented framework that leverages a large-scale in silico spectral library to enhance de novo molecular generation from tandem mass spectrometry data, achieving superior structural annotation accuracy and generalization compared to existing baselines.