Current and future deep learning algorithms for tandem mass spectrometry (MS/MS)‐based small molecule structure elucidation

Abstract

In principle, given enough training data, adapted DL architectures, optimal hyperparameters and computing power, DL frameworks can predict small molecule structures, completely or at least partially, from MS/MS spectra. However, their performance and general applicability should be fairly evaluated against classical machine learning frameworks.