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(2S,4R)-1-((S)-2-tert-Butoxycarbonylamino-3-methyl-butyryl)-4-(7-methoxy-2-phenyl-quinolin-4-yloxy)-pyrrolidine-2-carboxylic acid is a chemical with a specific purpose. Lookchem provides you with multiple data and supplier information of this chemical.

445306-02-5

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445306-02-5 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 445306-02-5 includes 9 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 6 digits, 4,4,5,3,0 and 6 respectively; the second part has 2 digits, 0 and 2 respectively.
Calculate Digit Verification of CAS Registry Number 445306-02:
(8*4)+(7*4)+(6*5)+(5*3)+(4*0)+(3*6)+(2*0)+(1*2)=125
125 % 10 = 5
So 445306-02-5 is a valid CAS Registry Number.

445306-02-5Relevant academic research and scientific papers

β-Amino acid substitutions and structure-based CoMFA modeling of hepatitis C virus NS3 protease inhibitors

Nurbo, Johanna,Peterson, Shane D.,Dahl, Goeran,Helena Danielson,Karlen, Anders,Sandstroem, Anja

, p. 5590 - 5605 (2008/12/20)

In an effort to develop a new type of HCV NS3 peptidomimetic inhibitor, a series of tripeptide inhibitors incorporating a mix of α- and β-amino acids has been synthesized. To understand the structural implications of β-amino acid substitution, the P1, P2, and P3 positions of a potent tripeptide scaffold were scanned and combined with carboxylic acid and acyl sulfonamide C-terminal groups. Inhibition was evaluated and revealed that the structural changes resulted in a loss in potency compared with the α-peptide analogues. However, several compounds exhibited μM potency. Inhibition data were compared with modeled ligand-protein binding poses to understand how changes in ligand structure affected inhibition potency. The P3 position seemed to be the least sensitive position for β-amino acid substitution. Moreover, the importance of a proper oxyanion hole interaction for good potency was suggested by both inhibition data and molecular modeling. To gain further insight into the structural requirements for potent inhibitors, a three-dimensional quantitative structure-activity relationship (3D-QSAR) model has been constructed using comparative molecular field analysis (CoMFA). The most predictive CoMFA model has q2 = 0.48 and rpred2 = 0.68.

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