Stanford University
Showing 731-740 of 837 Results
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Anne Brunet
Michele and Timothy Barakett Endowed Professor
Current Research and Scholarly InterestsOur lab studies the molecular basis of longevity. We are interested in the mechanism of action of known longevity genes, including FOXO and SIRT, in the mammalian nervous system. We are particularly interested in the role of these longevity genes in neural stem cells. We are also discovering novel genes and processes involved in aging using two short-lived model systems, the invertebrate C. elegans and an extremely short-lived vertebrate, the African killifish N. furzeri.
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Axel Brunger
Professor of Molecular and Cellular Physiology, of Neurology, of Photon Science and, by courtesy, of Structural Biology
Current Research and Scholarly InterestsOne of Axel Brunger's major goals is to decipher the molecular mechanisms of synaptic neurotransmitter release by conducting imaging and single-molecule/particle reconstitution experiments, combined with near-atomic resolution structural studies of the synaptic vesicle fusion machinery.
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Jennifer L. Bruno
Instructor, Psychiatry and Behavioral Sciences - Interdisciplinary Brain Sciences
Current Research and Scholarly InterestsDr. Bruno is a translational researcher at the interface of developmental cognitive neuropsychology and neurobiology. An overarching goal of her work is to understand developmental windows of vulnerability—periods of risk for falling off the trajectory of typical brain development. Her research utilizes genetics, brain imaging, and deep behavioral phenotyping to bridge computational science with clinical knowledge, translating cutting-edge science to solve problems of great clinical need.
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Douglas L. Brutlag
Professor of Biochemistry, Emeritus
Current Research and Scholarly InterestsMy primary interest is to understand the flow of information from the genome to the phenotype of an organism. This interest includes predicting the structure and function of genes and proteins from their primary sequence, predicting function from structure simulating protein folding and ligand docking, and predicitng disease from genome variations. These goals are the same as the goals of molecular biology, however, we use primarily computational approaches.
