Author

Mullen Boulter

Carleton University

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Bioinformatics· 1

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:transformer / foundation model· 1

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François CharihiD· 1 shared James R. GreeniD· 1 shared Kyle K. BiggariD· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperBioinformatics

François CharihORCID

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1 paper

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedFeb 23, 2026

Leveraging learned representations and multitask learning for lysine methylation site discovery

François Charih, Mullen Boulter, Kyle K. Biggar, James R. Green

This work introduces a transformer-based model for lysine methylation site prediction, achieving state-of-the-art accuracy through multitask learning and validation with mass spectrometry.

DOI 10.1038/s41598-026-39136-9

proteomicsdeep learning