Author

David M. Zong

Rice UniversityORCID 0000-0002-8157-4780Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:E. coli· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:metabolomics· 1 Organism:mouse· 1

Frequent Co-Authors

Abubaker PataniD· 1 shared Amir ZarrinpariD· 1 shared Andrew D. PattersoniD· 1 shared Andrew J. HirningiD· 1 shared Anika K Harpavat· 1 shared Anthony MartiniD· 1 shared Antonio Gonzalez· 1 shared Charilaos GiannitsisiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBiochemistry

Abubaker PatanORCID

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Author profile →

3 papers

Recent·Most cited

Pan-repository analysis reveals a drug-activating function of microbial bile acid conjugation

Vincent Charron‐Lamoureux, Patricia E. Kelly, Simone Zuffa, Abubaker Patan, Marta Sala‐Climent, Corinn Walker, Haoqi Nina Zhao, Shipei Xing, Harsha Gouda, Julius Agongo, Erin R. Reilly, Lina Sallam, Selene F. H. Shore, Subhomitra Ghoshal, Anika K Harpavat, , Pieter C. Dorrestein

The paper identifies microbial bile acid conjugation as a drug-activating function for 5-ASA, revealing its therapeutic relevance through metabolomics analysis.

bioRxiv · Mar 4, 2026 · PreprintBiochemistry

Tunable dynamics in a multi-straintranscriptional pulse generator

David M. Zong, Mehdi Sadeghpour, Sara Molinari, Razan N. Alnahhas, Andrew J. Hirning, Charilaos Giannitsis, William Ott, Krešimir Josić́, Matthew R. Bennett

This paper demonstrates how to tune gene circuit dynamics in a synthetic microbial consortium by adjusting strain fractions, creating a pulse generator with controllable amplitude.

ACS Synthetic Biology · Nov 28, 2023Peer-reviewedSynthetic Biology

Self-destructive altruism in a synthetic developmental program enables complex feedstock utilization

Robert G. Egbert, Leandra M. Brettner, David M. Zong, Eric Klavins

The paper engineers a synthetic developmental gene network in E. coli that couples stochastic differentiation with programmed cell death to enable cooperative cellulose utilization, but also observes cheater phenotypes and models evolutionary escape.

bioRxiv · Jan 7, 2017 · PreprintSynthetic Biology