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Connection

John Markley to Cattle

This is a "connection" page, showing publications John Markley has written about Cattle.

 
Connection Strength
 
 
 
0.392
 
  1. Tonelli M, Eller CH, Singarapu KK, Lee W, Bahrami A, Westler WM, Raines RT, Markley JL. Assignments of RNase A by ADAPT-NMR and enhancer. Biomol NMR Assign. 2015 Apr; 9(1):81-8.
    View in: PubMed
    Score: 0.085
  2. Ellinger JJ, Miller DC, Lewis IA, Markley JL. Semiautomated device for batch extraction of metabolites from tissue samples. Anal Chem. 2012 Feb 21; 84(4):1809-12.
    View in: PubMed
    Score: 0.074
  3. Hu K, Ellinger JJ, Chylla RA, Markley JL. Measurement of absolute concentrations of individual compounds in metabolite mixtures by gradient-selective time-zero 1H-13C HSQC with two concentration references and fast maximum likelihood reconstruction analysis. Anal Chem. 2011 Dec 15; 83(24):9352-60.
    View in: PubMed
    Score: 0.073
  4. Chylla RA, Hu K, Ellinger JJ, Markley JL. Deconvolution of two-dimensional NMR spectra by fast maximum likelihood reconstruction: application to quantitative metabolomics. Anal Chem. 2011 Jun 15; 83(12):4871-80.
    View in: PubMed
    Score: 0.070
  5. Song J, Markley JL. NMR chemical shift mapping of the binding site of a protein proteinase inhibitor: changes in the (1)H, (13)C and (15)N NMR chemical shifts of turkey ovomucoid third domain upon binding to bovine chymotrypsin A(alpha). J Mol Recognit. 2001 May-Jun; 14(3):166-71.
    View in: PubMed
    Score: 0.035
  6. Kaslik G, Westler WM, Gráf L, Markley JL. Properties of the His57-Asp102 dyad of rat trypsin D189S in the zymogen, activated enzyme, and alpha1-proteinase inhibitor complexed forms. Arch Biochem Biophys. 1999 Feb 15; 362(2):254-64.
    View in: PubMed
    Score: 0.030
  7. Markley JL, Westler WM. Protonation-state dependence of hydrogen bond strengths and exchange rates in a serine protease catalytic triad: bovine chymotrypsinogen A. Biochemistry. 1996 Aug 27; 35(34):11092-7.
    View in: PubMed
    Score: 0.025
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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