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1415357-33-3

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1415357-33-3 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 1415357-33-3 includes 10 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 7 digits, 1,4,1,5,3,5 and 7 respectively; the second part has 2 digits, 3 and 3 respectively.
Calculate Digit Verification of CAS Registry Number 1415357-33:
(9*1)+(8*4)+(7*1)+(6*5)+(5*3)+(4*5)+(3*7)+(2*3)+(1*3)=143
143 % 10 = 3
So 1415357-33-3 is a valid CAS Registry Number.

1415357-33-3Downstream Products

1415357-33-3Relevant academic research and scientific papers

The substrate-activity-screening methodology applied to receptor tyrosine kinases: A proof-of-concept study

Chapelat, Julien,Berst, Frédéric,Marzinzik, Andreas L.,Moebitz, Henrik,Drueckes, Peter,Trappe, Joerg,Fabbro, Doriano,Seebach, Dieter

, p. 1 - 9 (2012)

Protein kinases are widely recognized as important therapeutic targets due to their involvement in signal transduction pathways. These pathways are tightly controlled and regulated, notably by the ability of kinases to selectively phosphorylate a defined set of substrates. A wide variety of disorders can arise as a consequence of abnormal kinase-mediated phosphorylation and numerous kinase inhibitors have earned their place as key components of the modern pharmacopeia. Although "traditional" kinase inhibitors typically act by preventing the interaction between the kinase and ATP, thus stopping substrate phosphorylation, an alternative approach consists in disrupting the protein-protein interaction between the kinase and its downstream partners. In order to facilitate the identification of potential chemical starting points for substrate-site inhibition approaches, we desired to investigate the application of Substrate Activity Screening to kinases. We herein report a proof-of-concept study demonstrating, on a model tyrosine kinase, that the key requirements of this methodology can be met. Namely, using peptides as model substrates, we show that a simple ADP-accumulation assay can be used to monitor substrate efficiency and that efficiency can be optimized in a modular manner. More importantly, we demonstrate that structure-efficiency relationships translate into structure-activity relationships upon conversion of the substrates into inhibitors.

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