Author

J. V. CHRISTIANSEN

Technical University of Denmark

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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

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Carolina BarraiD· 1 shared Chuang Sun Hembo· 1 shared Miguel Gonzalez-Valdes Tejero· 1 shared Yuchen LiiD· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Carolina BarraORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 16, 2026

Chemically informed representations of amino acids enable learning beyond the canonical protein alphabet

J. V. CHRISTIANSEN, Miguel Gonzalez-Valdes Tejero, Chuang Sun Hembo…·Carolina Barra

The paper introduces chemically informed peptide representations to enable machine learning models to learn from molecular structure rather than canonical amino acid symbols, improving prediction of MHC class I binding.

2 citations

protein sequencedeep learning

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