Author
University of HelsinkiORCID 0000-0003-0909-9484Unclaimed ORCID profile · follow to get notified of new preprints
4 papers
Recent·Most cited
Alexandru Dumitrescu, Dani Korpela, Adrian M. Bebenek…·Ramnik J. Xavier
The paper develops a deep learning model to predict peptide-HLA II interactions for post-translationally modified peptides, showing accurate predictions on unseen modifications.
Mohsen Ghane, Dani Korpela, Alexandru Dumitrescu, H Lähdesmäki
PepCABO improves peptide-MHC binding optimization using contrastive alignment and Bayesian optimization in a latent space, outperforming baselines across multiple alleles.
Alexandru Dumitrescu, Emmi Jokinen, Anja Paatero…·Harri J Lähdesmäki
TSignal is a transformer model that predicts signal peptides and their cleavage sites, showing improved accuracy across various organisms and peptide types.
Emmi Jokinen, Alexandru Dumitrescu, Jani Huuhtanen…·Harri J Lähdesmäki
TCRconv predicts T-cell receptor-epitope recognition using a deep learning model and provides insights into T-cell dynamics in COVID-19 patients.