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N-acetyl-2'-O-benzyl-5'-O-[bis(4-methoxyphenyl)(phenyl)methyl]-3'-O-[(2-cyanoethoxy)(dipropan-2-ylamino)phosphanyl]-N-(2-methylpropanoyl)-cytidine is a chemical with a specific purpose. Lookchem provides you with multiple data and supplier information of this chemical.

1314972-07-0

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1314972-07-0 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 1314972-07-0 includes 10 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 7 digits, 1,3,1,4,9,7 and 2 respectively; the second part has 2 digits, 0 and 7 respectively.
Calculate Digit Verification of CAS Registry Number 1314972-07:
(9*1)+(8*3)+(7*1)+(6*4)+(5*9)+(4*7)+(3*2)+(2*0)+(1*7)=150
150 % 10 = 0
So 1314972-07-0 is a valid CAS Registry Number.

1314972-07-0Downstream Products

1314972-07-0Relevant academic research and scientific papers

Nucleoside optimization for RNAi: A high-throughput platform

Butora, Gabor,Kenski, Denise M.,Cooper, Abby J.,Fu, Wenlang,Qi, Ning,Li, Jenny J.,Flanagan, W. Michael,Davies, Ian W.

, p. 16766 - 16769 (2011)

The RNA induced silencing complex (RISC) contains at its core the endonuclease Argonaute (Ago) that allows for guide strand (GS)-mediated sequence-specific cleavage of the target mRNA. Functionalization of the sugar/phosphodiester backbone of the GS, which is in direct contact with Ago, presents a logical opportunity to affect RISCs activity. A systematic evaluation of modified nucleosides requires the synthesis of phosphoramidites corresponding to all four canonical bases (A, U, C, and G) and their sequential evaluation at each position along the 21-nucleotide-long GS. With the use of a platform approach, the sequential replacement of canonical bases with inosine greatly simplifies the problem and defines a new activity baseline toward which the corresponding sugar-modified inosines are compared. This approach was validated using 2′-O-benzyl modification, which demonstrated that positions 5, 8, 15, and 19 can accommodate this large group. Application of this high-throughput methodology now allows for hypothesis-driven rational design of highly potent, immunologically silent and stable siRNAs suitable for therapeutic applications.

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