Author

Diana K. Hunt

Broad InstituteORCID 0009-0005-7069-0291Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Approach:deep learning· 2 Assay:proteomics· 2 Organism:bacteria (other)· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Deborah Tan HungiD· 3 shared Austin N. BondiD· 2 shared James E. GomeziD· 2 shared Aaron J. GolasiD· 1 shared Allison Lemmer· 1 shared Benjamin PetersiD· 1 shared Bree B. AldridgeiD· 1 shared Christopher M. SassettiiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersMicrobiology

Deborah Tan HungORCID

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3 papers

Recent·Most cited

MicrobiologyACS Infectious DiseasesPeer-reviewedMay 13, 2026

Large-Scale Chemical-Genetic Interaction Profiling Identifies a Novel Small-Molecule Inhibitor of Mycobacterium tuberculosis Polyketide Synthase 13

James E. Gomez, Matthew Y. Solomon, Diana K. Hunt…·Deborah Tan Hung

This paper identifies a novel small-molecule inhibitor of Mycobacterium tuberculosis Pks13 through chemical-genetic interaction profiling and validates its mechanism of action.

DOI 10.1021/acsinfecdis.6c00136

humanproteomics

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MicrobiologyProceedings of the National Academy of SciencesPeer-reviewedMar 24, 2025

Massively parallel combination screen reveals small molecule sensitization of antibiotic-resistant Gram-negative ESKAPE pathogens

Megan W. Tse, Meilin Zhu, Benjamin Peters…·Paul C. Blainey

This study uses high-throughput screening to identify small molecules that enhance antibiotic efficacy against multidrug-resistant Gram-negative bacteria.

14 citationstop 4%

bacteria (other)proteomics

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MicrobiologybioRxivPreprintFeb 15, 2025

Reference-based chemical-genetic interaction profiling to elucidate small molecule mechanism of action in Mycobacterium tuberculosis

Austin N. Bond, Marek Orzechowski, Shuting Zhang…·Deborah Tan Hung

This paper introduces PCL analysis to predict small molecule mechanisms of action in Mycobacterium tuberculosis using PROSPECT data, achieving high sensitivity and precision in MOA prediction.

2 citations

deep learningdrug response / drug discovery

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