Author

Alon Aronson

Hebrew University of Jerusalem

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

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Dina Schneidman‐DuhovnyiD· 1 shared Tanya Hochner· 1 shared Tomer CoheniD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Dina Schneidman‐DuhovnyORCID

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1 paper

Recent·Most cited

Structure modeling and specificity of peptide-MHC class I interactions using geometric deep learning

Alon Aronson, Tanya Hochner, Tomer Cohen, Dina Schneidman‐Duhovny

The paper introduces MHCfold, a deep learning model that predicts peptide-MHC class I structures and binding specificity, achieving high accuracy and enabling high-throughput analysis.

bioRxiv · Dec 15, 2022 · PreprintBioinformatics