Cemil Can Saylan

Integrating Alternative Fragmentation Techniques into Standard LC-MS Workflows Using a Single Deep Learning Model Enhances Proteome Coverage

The paper develops a deep learning model that integrates multiple fragmentation techniques into standard LC-MS workflows, improving proteome coverage and identification rates.

Prosit-XL: enhanced cross-linked peptide identification by accurate fragment intensity prediction to study protein-protein interactions and protein structures

Prosit-XL improves cross-linked peptide identification by predicting fragment intensities, enhancing protein-protein interaction discovery and interactome mapping.

CanIsoNet: A Database to Study the Functional Impact of Isoform Switching Events in Diseases

CanIsoNet is a database that integrates isoform expression data with interaction networks and ClinVar annotations to predict the pathogenic impact of isoform switching events in diseases.