Author

N. N. Thadani

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· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 1 Research Focus:protein design· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

D. Marks· 2 shared N. Youssef· 2 shared P. Notin· 2 shared S. Gurev· 2 shared A. A. Cohen· 1 shared A. C. Sherman· 1 shared A. Dauphin· 1 shared A. W. Kollasch· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersImmunology

D. Marks

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Author profile →

2 papers

Recent·Most cited

Protein design for evaluating vaccines against future viral variation

N. Youssef, S. Gurev, F. Ghantous, K. P. Brock, J. A. Jaimes, N. N. Thadani, A. Dauphin, A. C. Sherman, L. Yurkovetskiy, D. Soto, R. Estanboulieh, B. Kotzen, P. Notin, A. W. Kollasch, A. A. Cohen, , D. Marks

The paper designs SARS-CoV-2 Spike proteins with novel mutations to evaluate vaccine effectiveness against future viral variants using a deep learning model.

bioRxiv · Oct 8, 2023Immunology

Learning from pre-pandemic data to forecast viral escape

N. N. Thadani, S. Gurev, P. Notin, N. Youssef, N. J. Rollins, C. Sander, Y. Gal, D. Marks

This paper develops EVEscape, a framework predicting viral escape mutations using historical data and structural information, showing it can forecast SARS-CoV-2 variants as effectively as experimental methods.

bioRxiv · Jul 21, 2022Immunology