Sowers,MMark Sowers
Year in Program: GY2
Undergrad University: Johns Hopkins University
Mentor: TBD
Graduate Program: TBD

Mark Sowers

My interests revolve around a central theme of understanding the etiology of disease so as to either exploit it with novel therapeutics or delay onset of disease. I am primarily involved in developing new treatments against Glioblastoma Multiforme, as well as studying nucleoside related therapy  neurotoxicity. This has led me to develop a range of skills to complement my clinical knowledge such as in physical and organic chemistry, biophysics, bioinformatics, and a variety of mass spectrometry "omic" techniques as well as mass spectrometry imaging. The goal is that my training will allow me to meet the needs of a physician-scientist that advances the field of medicine. 
  • Vice President of the MD-PhD Student Association, 2017-2019
  • Johns Hopkins University, Chemistry Department Honors, 2016
  • Johns Hopkins University Honors
  • Phi Beta Kappa Alpha Chapter of Maryland at Johns Hopkins University, Class of 2016
  • Kilpatrick prize for outstanding academic achievement in Chemistry, 2016
  • Deans Undergraduate Research Award (grant), 2016
  • American Society of Tropical Medicine and Hygiene (ASTMH) membership awardee
  • Measurement of Postreplicative DNA Metabolism and Damage in the Rodent Brain Chem. Res. Toxicol. 2015
  • Biophysical Society Poster—"Experimental characterization of computationally predicted metamorphic proteins", Biophysical Society National Meeting Presentation Abstract, Baltimore, MD, February 2015.
  • "DNA Metabolism and Damage in the Rodent Brain” Chem. Res. Tox. (2015) 28, 2352.
  • "How does inflammation drive mutagenesis in colorectal cancer?" Trends in Cancer Res. 2018
  • "Probing energetic connections between polymerase and exonuclease active sites in human DNA polymerase gamma”—DNA/Protein Interactions December 2017
  • "Mechanism of 5-chlorocytosine mutagenicity"--DNA/Protein Interactions December 2017 
  • "Experimental characterization of computationally predicted metamorphic proteins"—Biophysical Society National Meeting, 2015