The Brain Science Institute (BSi) brings together both basic and clinical neuroscientists from across the Johns Hopkins campuses. The BSi represents one of the largest and most diverse groups in the university. The BSi's mission is to solve fundamental questions about brain development and function and to use these insights to understand the mechanisms of brain disease. This new knowledge will provide the catalyst for the facilitation and development of effective therapies. The goals of our research are to foster new programs in basic neuroscience discovery; initiate a translational research program that will develop new treatments for brain-based diseases; and encourage collaboration, interdisciplinary teams, and new thinking that will have a global influence on research and treatment of the nervous system.

The Mass Spectrometry Core identifies and quantifies proteins that change expression in well-characterized protein fractions from cancerous cells or tissues. This includes identifying and quantifying changes in binding partners and post-translational modifications. Column chromatography and gel electrophoresis-based one and two-dimensional separations of protein complexes coupled to mass spectrometry are used. Techniques such as difference gel electrophoresis (DIGE), isobaric tag for relative and absolute quantitation (iTRAQ) and 18O-labeling as well as non-labeling methods (MudPit, multi-dimensional protein identification technology) are available for quantifying relative differences in protein expression and post-translational modifications. We developed methods to detect post-translational modifications such as LCMS methods to accurately determine the intact mass of proteins, selective fluorescent labeling of S-nitrosothiols (S-FLOS) to detect nitrosated cysteines in proteins, and ion mapping methods to map post-translational modifications that produce a signature mass or mass difference when the modified peptide is fragmented.

The Tom Woolf Lab studies the quarter of the genome devoted to membrane proteins. This rapidly growing branch of bioinformatics, which includes computational biophysics, represents the main research direction of our group. We aim to provide insight into critical issues for membrane systems. In pursuit of these goals, we use extensive computer calculations to build an understanding of the relations between microscopic motions and the world of experimental measurements. Our calculations use our own Beowulf computer cluster as well as national supercomputer centers. An especially strong focus has been on the computed motions of proteins and all-atom models of the lipid bilayers that mediate their influence. To compute these motions, we use the molecular dynamics program CHARMM. We hope to use our understanding of the molecular motions for the prediction of membrane protein structures using new computational methods.

The Stivers Lab is broadly interested in the biology of the RNA base uracil when it is present in DNA. Our work involves structural and biophysical studies of uracil recognition by DNA repair enzymes, the central role of uracil in adapative and innate immunity, and the function of uracil in antifolate and fluoropyrimidine chemotherapy. We use a wide breadth of structural, chemical, genetic and biophysical approaches that provide a fundamental understanding of molecular function. Our long-range goal is to use this understanding to design novel small molecules that alter biological pathways within a cellular environment. One approach we are developing is the high-throughput synthesis and screening of small molecule libraries directed at important targets in cancer and HIV-1 pathogenesis.