Author

A. Rubinsteyn

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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Immunology· 4 Cancer Biology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 4 Research Focus:drug response / drug discovery· 4 Assay:proteomics· 4 Approach:statistical model· 4 Organism:human· 3 Research Focus:gene regulatory network inference· 2 Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

C. C. Smith· 3 shared T. O'Donnell· 3 shared B. G. Vincent· 2 shared J. Garness· 2 shared J. Hammerbacher· 2 shared K. Olsen· 2 shared M. Fini· 2 shared M. Sambade· 2 shared

Activity by Year

2016-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersImmunology

C. C. Smith

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

LENS - Landscape of Effective Neoantigens Software

S. P. Vensko, K. Olsen, D. S. Bortone, C. C. Smith, S. Chai, W. Beckabir, M. Fini, O. Jadi, A. Rubinsteyn, B. Vincent

LENS identifies tumor-specific and tumor-associated antigens from diverse genomic sources in cancer samples, expanding epitope discovery beyond somatic variants.

bioRxiv · Apr 1, 2022Cancer Biology

A SARS-CoV-2 peptide vaccine which elicits T-cell responses in mice but does not protect against infection or disease

V. K. Baxter, E. J. Anderson, S. A. Taft-Benz, K. S. Olsen, M. Sambade, K. M. Gentry, W. A. Beck, J. Garness, A. Woods, M. Fini, B. Carpenter, C. C. Smith, M. T. Heise, B. G. Vincent, A. Rubinsteyn

This study evaluates a SARS-CoV-2 peptide vaccine in mice, finding it induces T-cell responses but fails to prevent infection or disease.

bioRxiv · Feb 22, 2022 · PreprintImmunology

Landscape and Selection of Vaccine Epitopes in SARS-CoV-2

C. C. Smith, S. Entwistle, C. Willis, S. Vensko, W. Beck, J. Garness, M. Sambade, E. Routh, K. Olsen, J. Kodysh, T. O'Donnell, C. Haber, K. Heiss, V. Stadler, E. Garrison, , A. Rubinsteyn

This study identifies vaccine epitopes in SARS-CoV-2 by combining computational T cell epitope prediction, B cell epitope mapping, and manufacturability criteria to propose candidate peptides for further testing.

bioRxiv · Jun 4, 2020Immunology

A model of antigen processing improves prediction of MHC I-presented peptides

T. O'Donnell, A. Rubinsteyn, U. Laserson

The paper develops an integrated model for predicting MHC I-presented peptides by combining binding and antigen processing models, outperforming existing tools on mass spec data.

bioRxiv · Mar 28, 2020Immunology

MHCflurry: open-source class I MHC binding affinity prediction

T. O'Donnell, A. Rubinsteyn, M. Bonsack, A. Riemer, J. Hammerbacher

MHCflurry is an open-source tool for predicting MHC I binding affinity, outperforming existing methods and offering faster performance.

bioRxiv · Aug 9, 2017Immunology

Somatic Mutations and Neoepitope Homology in Melanomas Treated with CTLA-4 Blockade

T. Nathanson, A. Ahuja, A. Rubinsteyn, B. A. Aksoy, M. D. Hellmann, D. Miao, E. Van Allen, T. Merghoub, J. Wolchok, A. Snyder, J. Hammerbacher

The paper reanalyzes exome and RNA-Seq data from melanoma patients treated with CTLA-4 blockade to assess the predictive value of somatic mutation burden and neoepitope homology to pathogens.

bioRxiv · Nov 17, 2016Cancer Biology