 MS Booster is a powerful tool for rescoring Peptid to Spectrum matches using additional features incorporating deep learning-based predictions of Peptid properties, such as LC retention time, ion mobility, and MS MS spectra. This tool can be used to improve the accuracy of Peptid identification in liquid chromatographer tandem mass spectrometry, LC-MS-MS, experiments, especially when dealing with complex datasets or data generated on an ion mobility separation enabled TIM-CO-FMS platform. This article was authored by Kevin L. Young, Feng Chau-Yu, Kuasi Ito, and others.