Chemical Ligation and Isotope Labeling to Locate Dynamic Effects

Author(s):  
Alan F. Scott ◽  
Louis Y.P. Luk ◽  
Rudolf K. Allemann
2015 ◽  
Vol 127 (31) ◽  
pp. 9144-9148 ◽  
Author(s):  
Louis Y. P. Luk ◽  
J. Javier Ruiz-Pernía ◽  
Aduragbemi S. Adesina ◽  
E. Joel Loveridge ◽  
Iñaki Tuñón ◽  
...  

2015 ◽  
Vol 54 (31) ◽  
pp. 9016-9020 ◽  
Author(s):  
Louis Y. P. Luk ◽  
J. Javier Ruiz-Pernía ◽  
Aduragbemi S. Adesina ◽  
E. Joel Loveridge ◽  
Iñaki Tuñón ◽  
...  

2016 ◽  
Vol 7 (5) ◽  
pp. 3248-3255 ◽  
Author(s):  
J. Javier Ruiz-Pernía ◽  
Enas Behiry ◽  
Louis Y. P. Luk ◽  
E. Joel Loveridge ◽  
Iñaki Tuñón ◽  
...  

Protein isotope labeling is a powerful technique to probe functionally important motions in enzyme catalysis and can be applied to investigate the conformational dynamics of proteins.


Author(s):  
A. J. Tousimis

The elemental composition of amino acids is similar to that of the major structural components of the epithelial cells of the small intestine and other tissues. Therefore, their subcellular localization and concentration measurements are not possible by x-ray microanalysis. Radioactive isotope labeling: I131-tyrosine, Se75-methionine and S35-methionine have been successfully employed in numerous absorption and transport studies. The latter two have been utilized both in vitro and vivo, with similar results in the hamster and human small intestine. Non-radioactive Selenomethionine, since its absorption/transport behavior is assumed to be the same as that of Se75- methionine and S75-methionine could serve as a compound tracer for this amino acid.


2013 ◽  
Vol 1 (2) ◽  
pp. 140-158 ◽  
Author(s):  
Nurul Indarti ◽  
Theo Postma

Innovative companies generally establish linkages with other actors and access external knowledge in order to benefit from the dynamic effects of interactive processes. Using data from 198 furniture and software firms in Indonesia, this study shows that the quality of interaction (i.e. multiplexity) as indicated by the depth of knowledge absorbed from various external parties and intensity of interaction (i.e., tie intensity) are better predictors of product innovation than the diversity of interaction.


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