MS²PIP

Removing the Hidden Data Dependency of DIA with Predicted Spectral Libraries

Abstract Data-independent acquisition (DIA) generates comprehensive yet complex mass spectrometric data, which imposes the use of data-dependent acquisition (DDA) libraries for deep peptide-centric detection. Here, it is shown that DIA can be …

MS²PIP: Predicting peptide spectrum peak intensities to improve proteomics identification

MS²PIP : fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques

An important step in high-throughput mass spectrometry-based proteomics is the correct identification of peptide MS² fragmentation spectra. Due to incomplete understanding of the fragmentation process and unpredictable machine noise, matching MS² …

Fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques

Awards: Best presentation

Fast and accurate MS² peak intensity predictions for multiple fragmentation methods, instruments and labeling techniques

Awards: Best presentation

MS² peak intensity prediction for specific PTMs, fragmentation techniques and instruments

Awards: 2nd best presentation