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  • Bioinformatic annotation of bacterial genes encoding SMR proteins

    work
    Creator:
    Stockbridge, Randy B. and Christian B. Macdonald
    Description:
    This data set includes text files (.csv files) for the bioinformatic annotation of SMR genes found in a dataset of phylogenetically diverse bacterial genomes. Bioinformatic analysis includes genome mining to identify SMR genes, prediction of the functional transporter subtype, and prediction of the direction of insertion in the bacterial membrane. Research overview: This bioinformatic dataset was prepared for a review on the structures, functions, and occurrence of Small Multidrug Resistance (SMR) Transporters. This dataset includes bioinformatic annotation of SMR genes identified in bacterial genomes from the Joint Genome Institute’s curated set of ~1000 Genomic Encyclopedia of Bacteria and Archaea (GEBA) genomes. The file GEBA_SMR_annotation.csv provides NCBI identification information (genome, species and chromosome information, locus tag, translation) and bioinformatic predictions of the SMR subtype and membrane insertion direction for each gene identified in the GEBA genome set. The file GEBA_SMR_species_table.csv has a separate entry for species in the GEBA genome set, along with the bioinformatic prediction of SMR subtype and membrane insertion direction for each SMR gene identified in the genome of that species. Dataset was generated by Christian B. Macdonald and Randy B. Stockbridge (Department of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, 48019) Generation of this dataset was supported by National Institutes of Health grants R35-GM128768 to Randy B. Stockbridge. Use and access: This dataset is provided as a .csv file (comma separated values) and can be read using any text editor or spreadsheet software such as Microsoft Excel.
    Citation to related publication:
    Burata OE, Yeh TJ, Macdonald CB, Stockbridge RB. (2022). Still rocking in the structural era: a molecular overview of the Small Multidrug Resistance transporters. Journal of Biological Chemistry. In press.
    Discipline:
    Science

  • Dataset: Models generated for the bioinformatic analysis of MPER/protein fusions binding to antibody

    work
    Creator:
    Bylund, Tatsiana, Chuang, Gwo-Yu, Kwong, Peter, Lai, Yen-Ting, McIlwain, Benjamin, and Stockbridge, Randy B.
    Description:
    This project evaluated the binding of antibody fragments to membrane proteins fused to a short epitope sequence (“MPER”). This dataset includes atomic coordinates (.pdb files) for bioinformatic models of antibody fragment binding to an MPER epitope – membrane protein fusion.
    Keyword:
    MPER, cryo-EM fiducial, crystallography chaperone, and small membrane protein
    Citation to related publication:
    McIlwain, B. C., Erwin, A. L., Davis, A. R., Ben Koff, B., Chang, L., Bylund, T., Chuang, G.-Y., Kwong, P. D., Ohi, M. D., Lai, Y.-T., & Stockbridge, R. B. (2021). N-terminal Transmembrane-Helix Epitope Tag for X-ray Crystallography and Electron Microscopy of Small Membrane Proteins. Journal of Molecular Biology, 166909.  https://doi.org/10.1016/j.jmb.2021.166909
    Discipline:
    Science