Search Results - "Trainor, Kyle"

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  1. 1

    Exploring the relationships between protein sequence, structure and solubility by Trainor, Kyle, Broom, Aron, Meiering, Elizabeth M

    Published in Current opinion in structural biology (01-02-2017)
    “…[Display omitted] •Aggregation/solubility prediction methods are widely developed and used.•Choice of method may sometimes be influenced by structural…”
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    Journal Article
  2. 2

    Computational Modeling of Protein Stability: Quantitative Analysis Reveals Solutions to Pervasive Problems by Broom, Aron, Trainor, Kyle, Jacobi, Zachary, Meiering, Elizabeth M.

    Published in Structure (London) (02-06-2020)
    “…Accurate modeling of the effects of mutations on protein stability is central to understanding and controlling proteins in myriad natural and applied contexts…”
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  3. 3

    Designed protein reveals structural determinants of extreme kinetic stability by Broom, Aron, Ma, S. Martha, Xia, Ke, Rafalia, Hitesh, Trainor, Kyle, Colón, Wilfredo, Gosavi, Shachi, Meiering, Elizabeth M.

    “…The design of stable, functional proteins is difficult. Improved design requires a deeper knowledge of the molecular basis for design outcomes and properties…”
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  4. 4

    Computational tools help improve protein stability but with a solubility tradeoff by Broom, Aron, Jacobi, Zachary, Trainor, Kyle, Meiering, Elizabeth M.

    Published in The Journal of biological chemistry (01-09-2017)
    “…Accurately predicting changes in protein stability upon amino acid substitution is a much sought after goal. Destabilizing mutations are often implicated in…”
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    Journal Article
  5. 5

    Temperature dependence of NMR chemical shifts: Tracking and statistical analysis by Trainor, Kyle, Palumbo, Jeffrey A., MacKenzie, Duncan W. S., Meiering, Elizabeth M.

    Published in Protein science (01-01-2020)
    “…Isotropic chemical shifts measured by solution nuclear magnetic resonance (NMR) spectroscopy offer extensive insights into protein structure and dynamics…”
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    Journal Article
  6. 6

    A Descriptor Set for Quantitative Structure‐property Relationship Prediction in Biologics by Sankar, Kannan, Trainor, Kyle, Blazer, Levi L., Adams, Jarrett J., Sidhu, Sachdev S., Day, Tyler, Meiering, Elizabeth, Maier, Johannes K. X.

    Published in Molecular informatics (01-09-2022)
    “…There has been a remarkable increase in the number of biologics, especially monoclonal antibodies, in the market over the last decade. In addition to attaining…”
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    Journal Article
  7. 7

    The Italian identities for Hilbert series of hypergraphs by Brennan, Joseph P., Trainor, Kyle

    “…Given a graph with loops or a hypergraph, this paper demonstrates that the Hilbert series of the associated graph or hypergraph ring is determined by the…”
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    Journal Article
  8. 8

    Design for Solubility May Reveal Induction of Amide Hydrogen/Deuterium Exchange by Protein Self-Association by Trainor, Kyle, Doyle, Colleen M., Metcalfe-Roach, Avril, Steckner, Julia, Lipovšek, Daša, Malakian, Heather, Langley, David, Krystek Jr, Stanley R., Meiering, Elizabeth M.

    Published in Journal of molecular biology (30-01-2022)
    “…[Display omitted] •Adnectin scaffold solubility is improved by combined bioinformatic and CamSol analysis.•Adnectins differing at a single amino acid position…”
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  9. 9

    Ensemble Modeling and Intracellular Aggregation of an Engineered Immunoglobulin-Like Domain by Trainor, Kyle, Gingras, Zachary, Shillingford, Cicely, Malakian, Heather, Gosselin, Michael, Lipovšek, Daša, Meiering, Elizabeth M.

    Published in Journal of molecular biology (27-03-2016)
    “…The production of recombinant proteins in Escherichia coli frequently results in the formation of insoluble protein aggregates called inclusion bodies (IBs)…”
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  10. 10

    Using natural sequences and modularity to design common and novel protein topologies by Broom, Aron, Trainor, Kyle, MacKenzie, Duncan WS, Meiering, Elizabeth M

    Published in Current opinion in structural biology (01-06-2016)
    “…[Display omitted] •Natural sequences, structural modularity and symmetry can facilitate protein design.•Symmetry allows for tractable computational design of…”
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    Journal Article