MS²PIP

timsTOF analysis combined with fragment intensity predictions results in improved identification of classical bioactive peptides and sORF-encoded peptides
Bioactive peptides exhibit key roles in a wide variety of complex processes, such as regulation of body weight, learning, aging, and …
DOI
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 …
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Removing the Hidden Data Dependency of DIA with Predicted Spectral Libraries
MS²PIP: Predicting peptide spectrum peak intensities to improve proteomics identification
Jul 18, 2019
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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 …
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Fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques
Awards: Best presentation
Mar 13, 2019
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Fast and accurate MS² peak intensity predictions for multiple fragmentation methods, instruments and labeling techniques
Awards: Best presentation
Jan 16, 2019
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MS² peak intensity prediction for specific PTMs, fragmentation techniques and instruments
Awards: 2nd best presentation
Sep 26, 2018
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