Author

R. P. Matson

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 Assay:proteomics· 1 Organism:virus· 1

Frequent Co-Authors

A. Venkatakrishnan· 1 shared B. J. Poelaert· 1 shared D. Padwardhan· 1 shared E. Silvert· 1 shared E.-G. Goel· 1 shared I. Y. Comba· 1 shared K. Murugadoss· 1 shared K. R. Brimacombe· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

A. Venkatakrishnan

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1 paper

Recent·Most cited

A deep learning framework for predicting the neutralizing activity of COVID-19 therapeutics and vaccines against evolving SARS-CoV-2 variants

R. P. Matson, I. Y. Comba, E. Silvert, M. J. Niesen, K. Murugadoss, D. Padwardhan, R. Suratekar, E.-G. Goel, B. J. Poelaert, K. Wan, K. R. Brimacombe, A. Venkatakrishnan, V. Soundararajan

This paper develops a deep learning model to predict neutralizing activity of COVID-19 therapeutics and vaccines against SARS-CoV-2 variants, finding reduced activity against newer variants like EG.5 and XBB.1.16.

bioRxiv · Oct 24, 2023 · PreprintImmunology