Protein Dynamics in Dihydrofolate Reductase Catalysis

Scripps Research Institute, The, La Jolla CA

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Abstract

DESCRIPTION (provided by applicant): Proteins are dynamic molecular machines, undergoing motions on a wide range of time scales. Although there is considerable evidence both from theory and experiment that many enzymes are inherently flexible, the fundamental question of how, or even if, protein fluctuations couple to catalytic function remains unanswered. Are protein motions coupled to the chemical transformation, or are they involved primarily in controlling the flux of substrate, products, or cofactors? What is the time scale of active site conformational changes required for catalysis? How is the energy landscape of the enzyme modulated during the catalytic cycle and how is it shaped during evolution? Are there species-related differences in protein dynamics and available conformational substates that might potentially be exploited for development of highly selective drugs that better discriminate between enzymes from humans and pathogens? These issues will be addressed using state-of-the-art NMR methods to elucidate the dynamic properties of an exceptionally well-characterized enzyme, dihydrofolate reductase (DHFR). DHFR is the target for anti-folate drugs such as the anticancer agent methotrexate and the antibacterials trimethoprim and iclaprim. The proposed research will focus on characterization of microsecond-millisecond time scale fluctuations in the active sites of E. coli and human DHFR, on the same time scale as key events in catalysis. NMR experiments will provide a detailed structural, dynamic, and thermodynamic description of slow motions of the active site loops in all intermediate states involved in the catalytic cycle and in carefully selected mutants that impair the catalytic process. These experiments build upon earlier research from this laboratory that showed how the energy landscape is modulated to funnel E. coli DHFR through its preferred catalytic pathway. The proposed research will provide novel insights into the energy landscapes of E. coli and human DHFR and will advance our understanding of the relationship between protein dynamics and catalytic function.