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Ethan Perlstein

  • Ph.D.
  • Lewis-Sigler Fellow
  • Princeton University Princeton Center for Quantitative Biology Lewis-Sigler Institute for Integrative Genomics
  • 15PublicationsNumber of items in Ethan's My Publications folder on Mendeley.
  • 10Followers

Recent publications

  • A Library of Spirooxindoles Based on a Stereoselective Three-Component Coupling Reaction

    • Lo M
    • Neumann C
    • Nagayama S
    • et al.
    Get full text
  • Display of functional αβ single-chain T-cell receptor molecules on the surface of bacteriophage

    • Weidanz J
    • Card K
    • Edwards A
    • et al.
    Get full text

Professional experience

Lewis-Sigler Fellow

Lewis Sigler Institute, Princeton University

September 2007 - Present



Dept of Molecular and Cellular Biology, Harvard University

September 2001 - June 2006(5 years)


Columbia College

September 1997 - May 2001(4 years)

Research interests

I call myself an evolutionary pharmacologist. My lab gives antidepressants and other psych drugs to yeast.


I focus on the intersection of cell biology, personalized medicine and quantitative evolutionary theory – a cross-disciplinary perspective I call evolutionary pharmacology. Ancient cellular processes, e.g., autophagy, dating back a billion years to our early eukaryotic ancestors, are not inert relics, but were preserved in our tissues as essential components of disease processes which have previously seemed uniquely human. In order to design the next generation of rational therapies, I propose to develop and validate predictive, evolutionarily informed explanatory models of existing complex pharmacology, where complications resulting from multiple drug targets and off-target chemical effects make a conceptually simple idea (e.g., drug inhibits reuptake) insufficient in practice. My team will deploy rapidly advancing DNA sequencing and chemical screening technologies to enable human disease-ortholog discovery in the powerful model eukaryote Saccharomyces cerevisiae (budding yeast), though this approach over time will be extended to more complex model organisms.


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