SLAC National Accelerator Laboratory


Showing 91-100 of 102 Results

  • Christopher John Tassone

    Christopher John Tassone

    Associate Professor (Research) of Photon Science

    BioChristopher J. Tassone, PhD is the Associate Lab Director for the Energy Sciences Directorate. His scientific interests lie in the development and characterization of advanced materials for energy. Dr. Tassone’s research addresses critical challenges in energy transition materials, plastics production, and catalysis, with the goal of improving energy technologies and utilizing domestically secure feedstocks. He is an expert in synchrotron-based X-ray scattering techniques, which he uses to probe the time resolved structure of materials as they are synthesized, and how they evolve under operation. He compliments this focus on developing operando and in-situ methods, with the development and application of machine learning for data interpretation and experimental steering. Through this work, Dr. Tassone helps accelerate the discovery of innovative materials for energy and catalysis.

  • Johannes Voss

    Johannes Voss

    Staff Scientist, Energy Sciences

    BioJohannes Voss is Staff Scientist at the SUNCAT Center for Interface Science and Catalysis at SLAC National Accelerator Laboratory. He leads a research team focused on the atomic-level understanding and computational design of systems of relevance for renewable storage and conversion of energy. The team employs machine learning approaches to improve the predictive power of super computer simulations for chemical reactions with emphasis on heterogeneous catalysis.

  • Soichi Wakatsuki

    Soichi Wakatsuki

    Professor of Photon Science and of Structural Biology

    Current Research and Scholarly InterestsUbiquitin signaling: structure, function, and therapeutics
    Ubiquitin is a small protein modifier that is ubiquitously produced in the cells and takes part in the regulation of a wide range of cellular activities such as gene transcription and protein turnover. The key to the diversity of the ubiquitin roles in cells is that it is capable of interacting with other cellular proteins either as a single molecule or as different types of chains. Ubiquitin chains are produced through polymerization of ubiquitin molecules via any of their seven internal lysine residues or the N-terminal methionine residue. Covalent interaction of ubiquitin with other proteins is known as ubiquitination which is carried out through an enzymatic cascade composed of the ubiquitin-activating (E1), ubiquitin-conjugating (E2), and ubiquitin ligase (E3) enzymes. The ubiquitin signals are decoded by the ubiquitin-binding domains (UBDs). These domains often specifically recognize and non-covalently bind to the different ubiquitin species, resulting in distinct signaling outcomes.
    We apply a combination of the structural (including protein crystallography, small angle x-ray scattering, cryo-electron microscopy (Cryo-EM) etc.), biocomputational and biochemical techniques to study the ubiquitylation and deubiquitination processes, and recognition of the ubiquitin chains by the proteins harboring ubiquitin-binding domains. Current research interests including SARS-COV2 proteases and their interactions with polyubiquitin chains and ubiquitin pathways in host cell responses, with an ultimate goal of providing strategies for effective therapeutics with reduced levels of side effects.

    Protein self-assembly processes and applications.
    The Surface layers (S-layers) are crystalline protein coats surrounding microbial cells. S-layer proteins (SLPs) regulate their extracellular, self-assembly by crystallizing when exposed to an environmental trigger. We have demonstrated that the Caulobacter crescentus SLP readily crystallizes into sheets both in vivo and in vitro via a calcium-triggered multistep assembly pathway. Observing crystallization using a time course of Cryo-EM imaging has revealed a crystalline intermediate wherein N-terminal nucleation domains exhibit motional dynamics with respect to rigid lattice-forming crystallization domains. Rate enhancement of protein crystallization by a discrete nucleation domain may enable engineering of kinetically controllable self-assembling 2D macromolecular nanomaterials. In particular, this is inspiring designing robust novel platform for nano-scale protein scaffolds for structure-based drug design and nano-bioreactor design for the carbon-cycling enzyme pathway enzymes. Current research focuses on development of nano-scaffolds for high throughput in vitro assays and structure determination of small and flexible proteins and their interaction partners using Cryo-EM, and applying them to cancer and anti-viral therapeutics.

    Multiscale imaging and technology developments.
    Multimodal, multiscale imaging modalities will be developed and integrated to understand how molecular level events of key enzymes and protein network are connected to cellular and multi-cellular functions through intra-cellular organization and interactions of the key machineries in the cell. Larger scale organization of these proteins will be studied by solution X-ray scattering and Cryo-EM. Their spatio-temporal arrangements in the cell organelles, membranes, and cytosol will be further studied by X-ray fluorescence imaging and correlated with cryoEM and super-resolution optical microscopy. We apply these multiscale integrative imaging approaches to biomedical, and environmental and bioenergy research questions with Stanford, DOE national labs, and other domestic and international collaborators.

  • Kirsten T Winther

    Kirsten T Winther

    Staff Scientist, Energy Sciences

    BioThe main goal of my research is to combine density functional theory simulations and data science approaches to accelerate the discovery of novel materials for catalysis. My research interests include:

    - The development of machine learning models for the prediction of material stability and adsorption energetics
    - Accelerated high-throughput frameworks for materials discovery, using machine-learning aided (active-learning) algorithms for materials exploration.
    - Developing scientific software and the open database catalysis-hub.org.