Author

Pablo López‐Tarifa

Netherlands eScience CenterORCID 0000-0002-4136-1860Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:contrastive learning· 1 Approach:deep learning· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Amy L. KessleriD· 1 shared ChiaYu Lin· 1 shared Dani L. BodoriD· 1 shared Daniel T. RademakeriD· 1 shared Daniil LepikhoviD· 1 shared Dario F. MarzellaiD· 1 shared Erik J. BekkersiD· 1 shared Giulia CrocioniiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Amy L. KesslerORCID

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1 paper

Recent·Most cited

Improving generalizability for MHC-I binding peptide predictions through geometric deep learning

Dario F. Marzella, Giulia Crocioni, Tadija Radusinović, Daniil Lepikhov, Heleen Severin, Dani L. Bodor, Daniel T. Rademaker, ChiaYu Lin, Sonja Georgievska, Nicolas Renaud, Amy L. Kessler, Pablo López‐Tarifa, Sonja I. Buschow, Erik J. Bekkers, Li C. Xue

This paper improves MHC-I binding peptide prediction generalizability using geometric deep learning, outperforming sequence-based methods without binding affinity data.

bioRxiv · Dec 4, 2023 · PreprintBioinformatics