Research

Research + Discoveries

  • Uncoupling Protein–Protein Interactions from Enzyme Catalysis

    Researchers in the McCafferty Lab have recently designed a mutant enzyme that shows promise as a molecular probe. This engineered enzyme is a mutant of lysine–specific demethylase 1A (KDM1A/LSD1), an epigenetic target with therapeutic potential. The researchers removed a protein interaction domain from KDM1A and replaced it with the corresponding region of a closely related enzyme. This molecular tool will allow users to effectively study the protein–protein interactions of KDM1A.

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  • A Glimpse Of The Forbidden

    Duke chemists have used single molecule techniques to induce forbidden reactions and probe the structures of the associated transition states.  Read more here.

     

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  • Charbonneau presents Soft matter and cooking: a pedagogical experience in Paris

    Patrick Charbonneau hosts seminar in Paris to relate his experience teaching an introductory-level science class on melding chemistry and cuisine at Duke University. Contemporary chefs such as Ferran Adrià, Joan Roca, and Heston Blumenthal have more than fame in common. They use soft matter chemistry and physics to create a gastronomy that challenges the traditional culinary experience. Techniques are not followed blindly, they are deconstructed, explained, and brought to new heights.

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  • Toward a Molecular "Double-slit" Experiment

    A Physics Today article describes new experiments that are testing predictions of Professor David Beratan's group on how infra-red radiation may be used to gate charge flow through molecules.  The recent experiment are testing Beratan's ideas of how vibrational excitation may be used to modulate electronic coupling "pathways" and their quantum mechanical interferences in molecules.  The writeup appears here 

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  • New Approach Creates Property-Biased Molecular Libraries in silico

    A paper by Chetan Rupakheti and Aaron Virship, in collaboration with Professors Yang and Beratan, reports a new approach to develop property-biased molecular libraries that capture the diversity of vast "molecular space."  The paper was selected as an Editors' Choice in the /Journal of Chemical Information and Modeling/ and is available as a "just accepted" manuscript at: http://pubs.acs.org/doi/abs/10.1021/ci500749q.

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