Deep Learning Protocol for Predicting Full-Spectrum Infrared and Raman Spectra of Polypeptides and Proteins Using All-Atom Models

times greater than that of QC methods. This work highlights the importance of data sets in machine learning and positions transfer learning as a transformative tool for large-scale biomolecular simulations, marking a substantial advancement in protein vibrational spectroscopy.