IDSL_MINT

IDSL_MINT is a deep learning framework designed to interpret raw mass spectrometry data, enabling the prediction of molecular fingerprints and structures from MS/MS spectra. It utilizes transformer models to translate mass spectra into molecular descriptors and canonical SMILES, making it a valuable tool for cheminformatics and molecular property prediction.