Welcome to LookChem.com Sign In|Join Free

CAS

  • or

153244-86-1

Post Buying Request

153244-86-1 Suppliers

Recommended suppliersmore

  • Product
  • FOB Price
  • Min.Order
  • Supply Ability
  • Supplier
  • Contact Supplier

153244-86-1 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 153244-86-1 includes 9 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 6 digits, 1,5,3,2,4 and 4 respectively; the second part has 2 digits, 8 and 6 respectively.
Calculate Digit Verification of CAS Registry Number 153244-86:
(8*1)+(7*5)+(6*3)+(5*2)+(4*4)+(3*4)+(2*8)+(1*6)=121
121 % 10 = 1
So 153244-86-1 is a valid CAS Registry Number.
InChI:InChI=1/C41H38N2O3/c44-39-37(25-29-11-3-1-4-12-29)42(27-31-19-21-33-15-7-9-17-35(33)23-31)41(46)43(38(40(39)45)26-30-13-5-2-6-14-30)28-32-20-22-34-16-8-10-18-36(34)24-32/h1-24,37-40,44-45H,25-28H2/t37-,38-,39+,40+/m1/s1

153244-86-1SDS

SAFETY DATA SHEETS

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

Version: 1.0

Creation Date: Aug 12, 2017

Revision Date: Aug 12, 2017

1.Identification

1.1 GHS Product identifier

Product name (4R,5S,6S,7R)-4,7-dibenzyl-5,6-dihydroxy-1,3-bis(naphthalen-2-ylmethyl)-1,3-diazepan-2-one

1.2 Other means of identification

Product number -
Other names 2H-1,3-Diazepin-2-one,hexahydro-5,6-dihydroxy-1,3-bis(2-naphthalenylmethyl)-4,7-bis(phenylmethyl)-,(4R,5S,6S,7R)

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:153244-86-1 SDS

153244-86-1Relevant articles and documents

Calculated and experimental low-energy conformations of cyclic urea HIV protease inhibitors

Hodge, C. Nicholas,Lam, Patrick Y. S.,Eyermann, Charles J.,Jadhav, Prabhakar K.,Ru,Fernandez, Christina H.,De Lucca, George V.,Chang, Chong-Hwan,Kaltenbach III, Robert F.,Holler, Edward R.,Woerner, Francis,Daneker, Wayne F.,Emmett, George,Calabrese, Joseph C.,Aldrich, Paul E.

, p. 4570 - 4581 (2007/10/03)

One important factor influencing the affinity of a flexible ligand for a receptor is the internal strain energy required to attain the bound conformation. Calculation of fully equilibrated ensembles of bound and free ligand and receptor conformations are computationally not possible for most systems of biological interest; therefore, the qualitative evaluation of a novel structure as a potential high- affinity ligand for a given receptor can benefit from taking into account both the bound and unbound (usually aqueous) low-energy geometries of the ligand and the difference in their internal energies. Although many techniques for computationally generating and evaluating the conformational preferences of small molecules are available, there are a limited number of studies of complex organics that compare calculated and experimentally observed conformations. To assess our ability to predict a priori favored conformations of cyclic HIV protease (HIV-1 PR) inhibitors, conformational minima for nine 4,7- bis(phenylmethyl)-2H-1,3-diazepin-2-ones I (cyclic ureas) were calculated using a high temperature quenched dynamics (QD) protocol. Single crystal X-ray and aqueous NMR structures of free cyclic ureas were obtained, and the calculated low-energy conformations compared with the experimentally observed structures. In each case the ring conformation observed experimentally is also found in the lowest energy structure of the QD analysis, although significantly different ring conformations are observed at only slightly higher energy. The 4- and 7-benzyl groups retain similar orientations in calculated and experimental structures, but torsion angles of substituents on the urea nitrogens differ in several cases. The data on experimental and calculated cyclic urea conformations and their binding affinities to HIV-1 PR are proposed as a useful dataset for assessing affinity prediction methods.

Post a RFQ

Enter 15 to 2000 letters.Word count: 0 letters

Attach files(File Format: Jpeg, Jpg, Gif, Png, PDF, PPT, Zip, Rar,Word or Excel Maximum File Size: 3MB)

1

What can I do for you?
Get Best Price

Get Best Price for 153244-86-1