Author

Radhika Iyer

Northwestern University

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· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew Daniel HoffmanniD· 1 shared Brooke SimontoniD· 1 shared Derek Elli· 1 shared Deyu FangiD· 1 shared Glenn C. RandalliD· 1 shared Hannah Faisal AlmubarakiD· 1 shared Huiping LiuiD· 1 shared Joshua R Squires· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

Andrew Daniel HoffmannORCID

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1 paper

Recent·Most cited

Novel antibody language model accelerates IgG screening and design for broad-spectrum antiviral therapy

Hannah Faisal Almubarak, Wuwei Tan, Andrew Daniel Hoffmann, Yuanfei Sun, Juncheng Wei, Lamiaa El-Shennawy, Joshua R Squires, Nurmaa Khund Dashzeveg, Brooke Simonton, Yuzhi Jia, Radhika Iyer, Yanan Xu, Vlad I. Nicolaescu, Derek Elli, Glenn C. Randall, , Yang Shen

This paper introduces an antibody language model (AbLM) to accelerate IgG screening and design for broad-spectrum antiviral therapy, achieving higher precision in predicting variant-resistant antibodies.

iScience · Sep 17, 2025Peer-reviewedImmunology