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Connection

Aaron Michels to Histocompatibility Antigens Class II

This is a "connection" page, showing publications Aaron Michels has written about Histocompatibility Antigens Class II.

 
Connection Strength
 
 
 
1.160
 
  1. Michels AW. Targeting the trimolecular complex. Clin Immunol. 2013 Dec; 149(3):339-44.
    View in: PubMed
    Score: 0.398
  2. Michels AW, Ostrov DA, Zhang L, Nakayama M, Fuse M, McDaniel K, Roep BO, Gottlieb PA, Atkinson MA, Eisenbarth GS. Structure-based selection of small molecules to alter allele-specific MHC class II antigen presentation. J Immunol. 2011 Dec 01; 187(11):5921-30.
    View in: PubMed
    Score: 0.363
  3. Zhang L, Crawford F, Yu L, Michels A, Nakayama M, Davidson HW, Kappler JW, Eisenbarth GS. Monoclonal antibody blocking the recognition of an insulin peptide-MHC complex modulates type 1 diabetes. Proc Natl Acad Sci U S A. 2014 Feb 18; 111(7):2656-61.
    View in: PubMed
    Score: 0.106
  4. Zhang L, Stadinski BD, Michels A, Kappler JW, Eisenbarth GS. Immunization with an insulin peptide-MHC complex to prevent type 1 diabetes of NOD mice. Diabetes Metab Res Rev. 2011 Nov; 27(8):784-9.
    View in: PubMed
    Score: 0.091
  5. Crawford F, Stadinski B, Jin N, Michels A, Nakayama M, Pratt P, Marrack P, Eisenbarth G, Kappler JW. Specificity and detection of insulin-reactive CD4+ T cells in type 1 diabetes in the nonobese diabetic (NOD) mouse. Proc Natl Acad Sci U S A. 2011 Oct 04; 108(40):16729-34.
    View in: PubMed
    Score: 0.090
  6. Michels AW, Eisenbarth GS. Autoimmune polyendocrine syndrome type 1 (APS-1) as a model for understanding autoimmune polyendocrine syndrome type 2 (APS-2). J Intern Med. 2009 May; 265(5):530-40.
    View in: PubMed
    Score: 0.076
  7. Williams T, Krovi HS, Landry LG, Crawford F, Jin N, Hohenstein A, DeNicola ME, Michels AW, Davidson HW, Kent SC, Gapin L, Kappler JW, Nakayama M. Development of T cell lines sensitive to antigen stimulation. J Immunol Methods. 2018 11; 462:65-73.
    View in: PubMed
    Score: 0.036
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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