Search Results - Apley, Kyle D

  • Showing 1 - 6 results of 6
Refine Results
  1. 1
    Multivalent Scaffolds to Promote B cell Tolerance

    Multivalent Scaffolds to Promote B cell Tolerance by Johnson, Stephanie N., Brucks, Spencer D., Apley, Kyle D., Farrell, Mark P., Berkland, Cory J.

    Get full text
    Items that this one cites
    Article
    Save to List
    Saved in:
  2. 2
    CD22L Conjugation to Insulin Attenuates Insulin-Specific B Cell Activation

    CD22L Conjugation to Insulin Attenuates Insulin-Specific B Cell Activation by Apley, Kyle D., Griffith, Amber S., Downes, Grant M., Ross, Patrick, Farrell, Mark P., Kendall, Peggy, Berkland, Cory J.

    Published in Bioconjugate chemistry
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  3. 3
    Optimized Production of Fc Fusion Proteins by Sortase Enzymatic Ligation

    Optimized Production of Fc Fusion Proteins by Sortase Enzymatic Ligation by Apley, Kyle D, Laflin, Amy D, Johnson, Stephanie N, Batrash, Noora, Griffin, J. Daniel, Berkland, Cory J, DeKosky, Brandon J

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  4. 4
    Disrupting N‑Glycosylation Using Type I Mannosidase Inhibitors Alters B‑Cell Receptor Signaling

    Disrupting N‑Glycosylation Using Type I Mannosidase Inhibitors Alters B‑Cell Receptor Signaling by Huang, Aric, Kurhade, Suresh E., Ross, Patrick, Apley, Kyle D., Griffin, Jonathan Daniel, Berkland, Cory J., Farrell, Mark P.

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  5. 5
    Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds

    Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds by Georgescu, Alexandru B, Ren, Peiwen, Toland, Aubrey R, Zhang, Shengtong, Miller, Kyle D, Apley, Daniel W, Olivetti, Elsa A, Wagner, Nicholas, Rondinelli, James M

    Published in Chemistry of materials
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  6. 6
    Database, Features, and Machine Learning Model to Identify Thermally Driven Metal-Insulator Transition Compounds

    Database, Features, and Machine Learning Model to Identify Thermally Driven Metal-Insulator Transition Compounds by Georgescu, Alexandru B, Ren, Peiwen, Toland, Aubrey R, Zhang, Shengtong, Miller, Kyle D, Apley, Daniel W, Olivetti, Elsa A, Wagner, Nicholas, Rondinelli, James M

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: