Author

C. T. Davis

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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Microbiology· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1 Organism:plant (other)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

T. K. Anderson· 2 shared A. E. Carpenter· 1 shared A. L. Vincent· 1 shared A. L. Vincent Baker· 1 shared A. S. Bowman· 1 shared A. S. Low· 1 shared B. A. Earnshaw· 1 shared B. Fogelson· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersMicrobiology

T. K. Anderson

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Interspecies transmission from pigs to ferrets of antigenically distinct swine H1 influenza A viruses with loss in reactivity to human vaccine virus antisera as measures of relative zoonotic risk

J. B. Kimble, C. K. Souza, T. K. Anderson, Z. W. Arendsee, D. E. Hufnagel, K. M. Young, N. S. Lewis, C. T. Davis, A. L. Vincent Baker

The paper assesses the zoonotic risk of swine H1 influenza A viruses by evaluating their cross-reactivity to human vaccine antisera and transmission efficiency in a pig-to-ferret model.

bioRxiv · Sep 12, 2022 · PreprintMicrobiology

Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery

M. F. Cuccarese, B. A. Earnshaw, K. Heiser, B. Fogelson, C. T. Davis, P. F. McLean, H. B. Gordon, K.-R. Skelly, F. L. Weathersby, V. Rodic, I. K. Quigley, E. D. Pastuzyn, B. M. Mendivil, N. H. Lazar, C. A. Brooks, , C. C. Gibson

This paper develops a deep-learning enabled phenomics platform to identify immune-modulating compounds and applies it to study SARS-CoV-2 infection and cytokine storm, identifying clinically relevant compounds and new drug candidates.

bioRxiv · Aug 2, 2020 · PreprintImmunology

Mitigating Pandemic Risk with Influenza A Virus Field Surveillance at a Swine-Human Interface

B. L. Rambo-Martin, M. W. Keller, M. M. Wilson, J. M. Nolting, T. K. Anderson, A. L. Vincent, U. Bagal, Y. Jang, E. B. Neuhaus, C. T. Davis, A. S. Bowman, D. E. Wentworth, J. R. Barnes

The paper describes using field-derived nanopore sequencing to identify a novel swine influenza A virus that posed a pandemic risk, leading to the development of a vaccine candidate and real-time public health response.

bioRxiv · Mar 21, 2019 · PreprintMicrobiology