Harvard Catalyst Profiles

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Erica Jane Zheng, Ph.D.

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Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Wong F, Krishnan A, Zheng EJ, Stärk H, Manson AL, Earl AM, Jaakkola T, Collins JJ. Benchmarking AlphaFold-enabled molecular docking predictions for antibiotic discovery. Mol Syst Biol. 2022 09; 18(9):e11081. PMID: 36065847; PMCID: PMC9446081.
    Citations:    Fields:    Translation:Cells
  2. Zheng EJ, Andrews IW, Grote AT, Manson AL, Alcantar MA, Earl AM, Collins JJ. Modulating the evolutionary trajectory of tolerance using antibiotics with different metabolic dependencies. Nat Commun. 2022 05 09; 13(1):2525. PMID: 35534481; PMCID: PMC9085803.
    Citations: 1     Fields:    Translation:Cells
  3. Zheng EJ, Stokes JM, Collins JJ. Eradicating Bacterial Persisters with Combinations of Strongly and Weakly Metabolism-Dependent Antibiotics. Cell Chem Biol. 2020 12 17; 27(12):1544-1552.e3. PMID: 32916087.
    Citations: 15     Fields:    Translation:Cells
  4. Lopatkin AJ, Stokes JM, Zheng EJ, Yang JH, Takahashi MK, You L, Collins JJ. Bacterial metabolic state more accurately predicts antibiotic lethality than growth rate. Nat Microbiol. 2019 12; 4(12):2109-2117. PMID: 31451773; PMCID: PMC6879803.
    Citations: 62     Fields:    Translation:Cells
  5. Bell EW, Zheng EJ, Ryno LM. Identification of inhibitors of the E. coli chaperone SurA using in silico and in vitro techniques. Bioorg Med Chem Lett. 2018 12 01; 28(22):3540-3548. PMID: 30301675.
    Citations: 4     Fields:    Translation:Cells
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.