Author

Eric Chen

The University of Texas Southwestern Medical Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:bacteria (other)· 1 Organism:Drosophila· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:whole-genome sequencing· 1 Organism:yeast· 1

Frequent Co-Authors

Alison Ryan· 1 shared Andrew Zhou· 1 shared Barry P. YoungiD· 1 shared Benjamin BoehmeiD· 1 shared Bill WangiD· 1 shared Bree B. AldridgeiD· 1 shared Christopher J. R. LoeweniD· 1 shared Douglas W. AllaniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperPhysiology

Alison Ryan

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Author profile →

3 papers

Recent·Most cited

The liver compensates for zonal loss of glucose 6-phosphatase to prevent glycogen storage disease

Roger J. Liang, Ling Cai, Phong T. Nguyen, Sherwin Kelekar, Margaret Cervantes, Trevor S. Tippetts, Eric Chen, Roberto Ribas, Alison Ryan, JANICE YANG CHOU, Ramon C. Sun, Hao Zhu, Ralph J. DeBerardinis

This study shows that localized loss of G6pc1 in liver zones causes local glycogen accumulation but not systemic disease, highlighting organ-wide compensation for metabolic homeostasis.

bioRxiv · Jul 28, 2026 · PreprintPhysiology

Improving Generalizability in Whole-Cell Antibiotic Discovery Through Active Learning

Lia R. Serrano, Andrew Zhou, Ziming Wei, Kee-Lee K. Stocks, Yasha Ektefaie, Peter J. Gwynne, Eric Chen, Inna V. Krieger, James C. Sacchettini, Bree B. Aldridge, Linden T. Hu, Maha Reda Farhat

This paper evaluates active learning strategies for whole-cell antibiotic discovery, finding an optimal approach that significantly improves hit rates and generalizability across bacterial species.

bioRxiv · Jul 5, 2026 · PreprintBioinformatics

Revealing function-altering MECP2 mutations in individuals with autism spectrum disorder using yeast and Drosophila

Eric Chen, Jessica Schmitt, Graeme McIntosh, Barry P. Young, Tianshun Lian, Jie Liu, Kexin K Chen, J Beatrice Liston, Lily MacDonald, Bill Wang, Sònia Medina Giró, Benjamin Boehme, Mriga Das, Seevasant Indran, Jesse T. Chao, , Christopher J. R. Loewen

The paper assesses nine MECP2 variants in ASD using yeast and Drosophila assays, finding four as loss of function and five as functional, highlighting non-methyl DNA-binding roles.

Genetics · Jun 23, 2025Peer-reviewedNeuroscience