Author

Darunee Buddhari

Armed Forces Research Institute of Medical ScienceORCID 0000-0001-7984-1707Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 2

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 2 Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Kathryn B. AndersoniD· 2 shared Aaron R. FarmeriD· 1 shared Adam Tully WaickmaniD· 1 shared Bethan Cracknell DanielsiD· 1 shared Derek A. T. CummingsiD· 1 shared Fabiano OliveiraiD· 1 shared Ilaria DorigattiiD· 1 shared Ivona PetzlovaiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersImmunology

Kathryn B. AndersonORCID

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2 papers

Recent·Most cited

ImmunologyPLoS neglected tropical diseasesPeer-reviewedOct 29, 2025

Antibody response to Aedes aegypti D7L1+2 salivary proteins as marker of aggregate vector exposure and correlate of dengue virus susceptibility

Lauren E. Bahr, Marco Hamins-Puértolas, Darunee Buddhari…·Kathryn B. Anderson

The paper develops a serologic assay to measure antibodies against Aedes aegypti salivary proteins D7L1+2 as a marker of vector exposure and finds they correlate with dengue virus infection burden.

4 citations

Arabidopsisproteomics

𝕏 PostBluesky

ImmunologyPLoS Computational BiologyPeer-reviewedDec 23, 2024

Predicting the infecting dengue serotype from antibody titre data using machine learning

Bethan Cracknell Daniels, Darunee Buddhari, Taweewun Hunsawong…·Ilaria Dorigatti

This paper uses machine learning to predict dengue serotypes from antibody titre data, achieving 80.6% accuracy with spatiotemporal data.

7 citations

humanbulk RNA-seq

𝕏 PostBluesky