Karl Schmitz

Karl Schmitz

Assistant Professor
 302-831-6100

Office: 309 Wolf Hall

Education

  • B.S. - Rensselaer Polytechnic Institute
  • Ph.D. - Perleman School of Medicine, University of Pennsylvania
  • Postdoc - Massachusetts Institute of Technology

Research Interests

All bacteria possess ATP-fueled machines that degrade folded proteins in the cytoplasm. These enzymes remodel the proteome in response to environmental cues, enforce protein quality control, and modulate specific cellular pathways. My lab studies the Clp proteases from Mycobacterium tuberculosis, a highly infectious human pathogen. These proteolytic complexes are essential for viability in mycobacteria, and have emerged as attractive antibacterial targets.

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Clp proteases mechanically unfold and degrade protein substrates through the collaboration of an ATP-dependent unfoldase and a barrel-shaped peptidase. Our research aims to establish how their activity is regulated in the cell, how they select specific substrates from the complex cytoplasmic proteome, and how structural features relate to their proteolytic activity. We use a variety of experimental tools, including biophysical and biochemical assays to probe protease assembly and function, X-ray crystallography to reveal protein structure, and molecular microbiology approaches to interrogate proteolytic processes in the cell. We hope to exploit our understanding of these enzymes to identify novel antibacterial compounds that target Clp proteolysis in M. tuberculosis and other pathogenic bacteria.

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Current Projects

Clp protease assembly and disassembly

The mycobacterial Clp proteases are large oligomeric complexes that comprise a hexameric unfoldase (ClpX or ClpC1) and a heteromeric barrel-shaped peptidase (ClpP1P2). Biochemical evidence suggests that protease assembly is dynamic, and that the active form exists in equilibrium with unassembled inactive species. We aim to characterize the assembly and disassembly pathways, the kinetics of activation and inactivation, and the mechanisms by which substrates stimulate activity.

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Substrate identification and selectivity

Clp proteases selectively recognize protein substrates, which minimizes wasteful and deleterious off-target proteolysis. However, few bona fide substrates are known in mycobacteria, and the rules that govern substrate discrimination are not understood. Through targeted screening and capture-based methods, we aim to identify novel physiological substrates. We use cell-based and phage-based screening approaches to define the sequence-based rules by which these proteases select substrates. We also aim to crystallize protease components in complex with substrate polypeptides, to determine the specific interactions and motifs that guide substrate recognition. These studies will help us understand the role that Clp proteases play in mycobacterial biology, and will guide the development of novel in vivo reporter substrates.

High-throughput screening and compound characterization

A major motivation for studying Clp protease function is to improve our ability to develop compounds that disrupt their activity in M. tuberculosis. While we have a rich toolbox of reagents and assays useful for probing protease activity in vitro, few of these tools are well-suited to high-throughput screening applications. We are working to develop robust assay platforms with higher signal-to-noise, improved dynamic range, and the ability to multiplex reporters for unfolding, peptidase, and protease activities. We also collaborate with talented synthetic chemists to characterize and optimize compounds that target these essential mycobacterial enzymes.

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Research Group

​Lab Members

  • Emmanuel Ogbonna (BISC PhD)
  • Christopher Presloid (BISC PhD)
  • Jialiu Jiang (CHEM PhD)
  • Monika Prorok (CHEM PhD)
  • Patrick Beardslee (CHEM PhD)
  • Priyanka Bheemreddy (undergrad)

Lab Alumni

  • Thomas Swayne (undergrad, 2017-2020)
  • Jennifer Vorn (undergrad, 2019-2020)
  • Christian Sullivan (undergrad, 2020)
  • Leah Ferguson (undergrad, 2019)
  • Gaury Dhamdhere (BISC MS, 2019-2020)
  • Jeffrey Hudson (undergrad, 2018-2020)
  • Darian Yang (undergrad, 2017-2018)