Dr. Charles Lauhon

Associate Professor

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Biography

Charles T Lauhon is an Associate Professor at the School of Pharmacy, University of Wisconsin. His major research interest lies in biochemistry, specifically tRNA modification. His work focuses on how protein enzymes modify individual bases of tRNA, highlighting particularly interesting substrates like single nucleotides in the context of large, highly structured tRNA molecules. Lauhon studies how these enzymes are able to recognize nucleotides modified by surrounding RNA structure and investigates the simple chemical nature of tRNA base modifications, which are crucial for maintaining the fidelity of translation. Notably, these enzymes are required for biosynthesis and represent unique reaction mechanisms. Modifications in bacteria are critical for viability, presenting potential targets for antibiotic development. Lauhon applies mechanistic enzymology to study transformations using organic chemistry for the synthesis of alternate substrates and inhibitors, along with molecular biology to probe RNA substrate specificity. His current research focuses on rational design strategies for the discovery of antibiotics that target tRNA modification enzymes in bacteria.

Research Interests

Experience

Associate Professor

1996-09-01 — Present

School of Pharmacy, University of Wisconsin • Madison, WI

Joined faculty in the fall of 1996, focusing on research in biochemistry and tRNA modification.

Courses

Pharmaceutical Biochemistry Medicinal Chemistry CNS Drug Design Action & Application CNS Drug Design Action & Application II Responsible Conduct Research

Requirements for University of Wisconsin

Master Program
Requirements
GPA Requirement
Required:3
GRE General
Prerequisites
Intermediate microeconomics Multivariate calculus Introductory statistics
Application Checklist
  • Online application
  • Statement of purpose
  • Two letters of recommendation
  • Official transcripts
  • CV/Resume
Specialization Notes

Professional Option (MSPO) focused on applied economics and data analysis.