Author

Kyra J. Cowan

Merck KGaA, Darmstadt (Germany)ORCID 0000-0002-4811-7748Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 1

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Approach:benchmark study· 1 Approach:deep learning· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Andrea Di IanniiD· 1 shared Federico Riccardi SirtoriiD· 1 shared Luca Maria BarberoiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperImmunology

Andrea Di IanniORCID

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1 paper

Recent·Most cited

ImmunologybioRxivPreprintSep 3, 2024

Evaluating Cross-linking-driven integrative modeling in peptide-HLAII complexes prediction with insights for refining predictive accuracy

Andrea Di Ianni, Luca Maria Barbero, Kyra J. Cowan, Federico Riccardi Sirtori

This study evaluates AlphaLink2 and AlphaFold2 Multimer for predicting peptide-HLAII complexes using cross-linking data and benchmarking against experimental datasets.

DOI 10.1101/2024.09.03.609139

humanproteomics

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