Structural Annotation Of Unknown Molecules In A Miniaturized Mass Spectrometer Based On A Transformer Enabled Fragment Tree Method

The TeFT method combines fragmentation tree models and a deep learning Transformer module to accurately predict the structure of small molecules from mass spectrometry spectra. It has been successfully validated on open-source databases and a miniaturized mass spectrometer, making it a useful tool for on-site testing and drug discovery.