ChemInform Abstract: An Efficient Method for the Preparation of Mono α-Aryl Derivatives of Diethyl Malonate and Ethyl Cyanoacetate Using Ethyl-1-imidazole Carbamate (EImC).

ChemInform ◽  
2012 ◽  
Vol 43 (25) ◽  
pp. no-no
Author(s):  
Manoranjan Behera ◽  
R. Venkat Ragavan ◽  
M. Sambaiah ◽  
Balaiah Erugu ◽  
J. Rama Krishna Reddy ◽  
...  
2012 ◽  
Vol 53 (9) ◽  
pp. 1060-1062 ◽  
Author(s):  
Manoranjan Behera ◽  
R. Venkat Ragavan ◽  
M. Sambaiah ◽  
Balaiah Erugu ◽  
J. Rama Krishna Reddy ◽  
...  

1982 ◽  
Vol 47 (4) ◽  
pp. 1240-1251 ◽  
Author(s):  
Pavel Drašar ◽  
Vladimír Pouzar ◽  
Ivan Černý ◽  
Miroslav Havel ◽  
Sofia N. Ananchenko ◽  
...  

Using the Knoevenagel reaction condensation products of 3β-acetoxyandrost-5-en-17-one with diethyl malonate, ethyl cyanoacetate and malononitrile were prepared which converted to derivatives of 3β-hydroxypregn-5-en-21-oic acid. Reductions and oxidations of the double bonds in the positions 5,6 and 17,20 and the stereochemistry at atoms C(17) and C(20) of some derivatives were also investigated. From derivatives of 23,24-dinorchola-5,17(20)-diene-21,22-diol compounds with a 1,3-dioxane ring in the side chain were prepared.


1981 ◽  
Vol 46 (2) ◽  
pp. 503-505 ◽  
Author(s):  
Oldřich Kocián ◽  
Miloslav Ferles

The action of malononitrile, ethyl cyanoacetate, dibenzoylmethane and/or p-nitroaniline on compound I in the presence of sodium methoxide gives rise to derivatives of 3-cyano-1-methyl-1,4-dihydroquinoline, II and III


2009 ◽  
Vol 87 (2) ◽  
pp. 393-396 ◽  
Author(s):  
Kothamasu Suresh Babu ◽  
Vidadala Rama Subba Rao ◽  
Ravu Ranga Rao ◽  
Sakhamuri Sivaram Babu ◽  
Janaswami Madhusudana Rao

We describe a mild and efficient method for the chemoselective N-benzyloxycarbonylation of amines by treatment of amines and aminoesters with benzyloxycarbonyl chloride (Cbz-Cl) in the presence of TBAB under solvent-free conditions in excellent yields. The method is general for the preparation of a wide variety of N-Cbz derivatives of aliphatic, aromatic amines, and aminoesters.


2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Nagy M. Khalifa ◽  
Mohamed A. Al-Omar ◽  
Hamad M. Alkahtani ◽  
Ahmed H. Bakheit

A new class of pyridopyrimidinone compounds containing different nitrogenous heterocycles were synthesized starting from the key precursor 2-hydrazinyl-5-phenyl-7-(pyridin-3-yl)pyrido[2,3-d]pyrimidin-4(3H)-one via condensation with series of aromatic aldehydes and cyclization using different reagents as ethyl acetoacetate, ethyl cyanoacetate, diethyl malonate, and ammonium isothiocyanate. The bioassay results showed compound 6 to be highly effective towards three human cancer cell lines (HepG2, PC-3, and HCT-116) in vitro with promising activity values (IC50: 0.5 μM) relative to the standard doxorubicin (IC50: 0.6 μM). Kinase inhibitory evaluation of compound 6 displays hopeful inhibitory action against BRAF V600E, EGFR, and PDGFRβ at100 μM. The molecular docking studies supported the initial kinase assay.


2020 ◽  
Vol 34 (04) ◽  
pp. 4527-4534
Author(s):  
Sören Laue ◽  
Matthias Mitterreiter ◽  
Joachim Giesen

Computing derivatives of tensor expressions, also known as tensor calculus, is a fundamental task in machine learning. A key concern is the efficiency of evaluating the expressions and their derivatives that hinges on the representation of these expressions. Recently, an algorithm for computing higher order derivatives of tensor expressions like Jacobians or Hessians has been introduced that is a few orders of magnitude faster than previous state-of-the-art approaches. Unfortunately, the approach is based on Ricci notation and hence cannot be incorporated into automatic differentiation frameworks like TensorFlow, PyTorch, autograd, or JAX that use the simpler Einstein notation. This leaves two options, to either change the underlying tensor representation in these frameworks or to develop a new, provably correct algorithm based on Einstein notation. Obviously, the first option is impractical. Hence, we pursue the second option. Here, we show that using Ricci notation is not necessary for an efficient tensor calculus and develop an equally efficient method for the simpler Einstein notation. It turns out that turning to Einstein notation enables further improvements that lead to even better efficiency.


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