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14437-41-3

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14437-41-3 Usage

Uses

Anthelmintic.

Check Digit Verification of cas no

The CAS Registry Mumber 14437-41-3 includes 8 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 5 digits, 1,4,4,3 and 7 respectively; the second part has 2 digits, 4 and 1 respectively.
Calculate Digit Verification of CAS Registry Number 14437-41:
(7*1)+(6*4)+(5*4)+(4*3)+(3*7)+(2*4)+(1*1)=93
93 % 10 = 3
So 14437-41-3 is a valid CAS Registry Number.
InChI:InChI=1/C15H10ClI2NO3/c1-8(20)22-14-12(6-10(17)7-13(14)18)15(21)19-11-4-2-9(16)3-5-11/h2-7H,1H3,(H,19,21)

14437-41-3SDS

SAFETY DATA SHEETS

According to Globally Harmonized System of Classification and Labelling of Chemicals (GHS) - Sixth revised edition

Version: 1.0

Creation Date: Aug 19, 2017

Revision Date: Aug 19, 2017

1.Identification

1.1 GHS Product identifier

Product name [2-[(4-chlorophenyl)carbamoyl]-4,6-diiodophenyl] acetate

1.2 Other means of identification

Product number -
Other names CN 59,567

1.3 Recommended use of the chemical and restrictions on use

Identified uses For industry use only.
Uses advised against no data available

1.4 Supplier's details

1.5 Emergency phone number

Emergency phone number -
Service hours Monday to Friday, 9am-5pm (Standard time zone: UTC/GMT +8 hours).

More Details:14437-41-3 SDS

14437-41-3Downstream Products

14437-41-3Relevant academic research and scientific papers

Design, synthesis, and multivariate quantitative structure-activity relationship of salicylanilides-potent inhibitors of type III secretion in Yersinia

Dahlgren, Markus K.,Kauppi, Anna M.,Olsson, Ing-Marie,Linusson, Anna,Elofsson, Mikael

, p. 6177 - 6188 (2008/09/16)

Analogues to the salicylanilide N-(4-Chlorophenyl)-2-acetoxy-3,5- diiodobenzamide, 1a, an inhibitor of type III secretion (T3S) in Yersinia, were selected, synthesized, and biologically evaluated in three cycles. First, a set of analogues with variations in the salicylic acid ring moiety was synthesized to probe possible structural variation. A basic structure-activity relationship was established and then used to cherry-pick compounds from a principal component analysis score plot of salicylanilides to generate a second set. A third set with increased likelihood of biological activity was designed using D-optimal onion design. A quantitative structure-activity relationship model using hierarchical partial least-square regression to latent structures (Hi-PLS) was computed using PLS score vectors of building blocks correlated to the % inhibition of T3S as a response. A PLS discriminant analysis (PLS-DA) model was derived using the same descriptor set as that for the Hi-PLS model. Both models were validated with an external test set.

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