ChemInform Abstract: Synthesis, Pharmacological Activities and Physico-Chemical Properties of 4-(Substituted amino/N4-arylpiperazinyl/aminocarbonyl)-2,3-polymethylenequinolines.

ChemInform ◽  
1987 ◽  
Vol 18 (43) ◽  
Author(s):  
J. S. BINDRA ◽  
S. N. RASTOGI ◽  
G. K. PATNAIK ◽  
N. ANAND ◽  
K. G. G. RAO ◽  
...  
2017 ◽  
Vol 3 (1) ◽  
pp. 20-30 ◽  
Author(s):  
Mohammad Abu Taher ◽  
Mohammad Abu Bin Nyeem ◽  
Md Monir Ahammed ◽  
Md Mobarak Hossain ◽  
Mohammad Nazrul Islam

‘The Tree of Life' or 'Miracle Tree' is the name of the plant of Moringa oleifera (Shajna). Moringa oleifera is one of the important plants in plant kingdom. Its leaves and fruits are used as vegetable in Indian sub continent, at the same time each part of the plant rich with some important medicinal values. It is now considered as a valuable source of several unique products for the medicines against various diseases. The present review is to focus on the nutritive values, physico-chemical properties, phyto-chemicals and pharmacological activities of M. oleifera. Various parts of the plant like seeds, leaves, flowers, bark and fruits have been investigated for their significant pharmacological activity. Phyto-chemicals like flavanoid, anthraquinone, alkaloids, essential oils, tannic acid, carotene, glucose have been reported for significant antioxidant, hepatoprotective, anticancer, aphrodisiac, antiinflammatory, antihyperlipidaemic, antihyperglycaemic and antiulcer activities of Drumstick tree and emphasizes the need for further exploring available information.Asian J. Med. Biol. Res. March 2017, 3(1): 20-30


2018 ◽  
pp. 50-54
Author(s):  
A. A. Safonov

Recently, the search for new compounds with high biological activity, which can be the basis for potential drugs, becomes topical for world scientists. A heterocyclic compound cause particular interest in this area as highly pharmacologically active compounds. Scientists extends interest due to the low toxicity and high reactivity 1,2,4-triazole of the system. It is proved that the combination of triazole nucleus with other heterocyclic systems, especially in the fifth position, causes increased biological effect, and, sometimes, the appearance of new pharmacological activities. The aim of the work was the synthesis of 3-(alkylthio)-5-(thiophen-2-ylmethyl)-4H-1,2,4-triazol-4-amines and their derivatives, study of their physico-chemical properties. A series of new derivatives of the compounds 4-amino-5-R-1,2,4-triazole-3-thione (3-(alkylthio)-5-(thiophen-2-ylmethyl)-4H-1,2,4-triazol-4-amines and N-R-idene)-3-(nonylthio)-5-(thiophen-2-ylmethyl)-4H-1,2,4-triazol-4-amines) was synthesizes. The structure of compounds is set with modern physico-chemical methods of analysis (elemental analysis, 1H-NMR spectroscopy). Individuality is proved by HPLC-MS.


Author(s):  
H. Gross ◽  
H. Moor

Fracturing under ultrahigh vacuum (UHV, p ≤ 10-9 Torr) produces membrane fracture faces devoid of contamination. Such clean surfaces are a prerequisite foe studies of interactions between condensing molecules is possible and surface forces are unequally distributed, the condensate will accumulate at places with high binding forces; crystallites will arise which may be useful a probes for surface sites with specific physico-chemical properties. Specific “decoration” with crystallites can be achieved nby exposing membrane fracture faces to water vopour. A device was developed which enables the production of pure water vapour and the controlled variation of its partial pressure in an UHV freeze-fracture apparatus (Fig.1a). Under vaccum (≤ 10-3 Torr), small container filled with copper-sulfate-pentahydrate is heated with a heating coil, with the temperature controlled by means of a thermocouple. The water of hydration thereby released enters a storage vessel.


1990 ◽  
Vol 63 (03) ◽  
pp. 499-504 ◽  
Author(s):  
A Electricwala ◽  
L Irons ◽  
R Wait ◽  
R J G Carr ◽  
R J Ling ◽  
...  

SummaryPhysico-chemical properties of recombinant desulphatohirudin expressed in yeast (CIBA GEIGY code No. CGP 39393) were reinvestigated. As previously reported for natural hirudin, the recombinant molecule exhibited abnormal behaviour by gel filtration with an apparent molecular weight greater than that based on the primary structure. However, molecular weight estimation by SDS gel electrophoresis, FAB-mass spectrometry and Photon Correlation Spectroscopy were in agreement with the theoretical molecular weight, with little suggestion of dimer or aggregate formation. Circular dichroism studies of the recombinant molecule show similar spectra at different pH values but are markedly different from that reported by Konno et al. (13) for a natural hirudin-variant. Our CD studies indicate the presence of about 60% beta sheet and the absence of alpha helix in the secondary structure of recombinant hirudin, in agreement with the conformation determined by NMR studies (17)


1963 ◽  
Vol 79 (2) ◽  
pp. 263-293 ◽  
Author(s):  
E.M. Savitskii ◽  
V.F. Terekhova ◽  
O.P. Naumkin

1990 ◽  
Vol 39 (442) ◽  
pp. 996-1000 ◽  
Author(s):  
Ayao TAKASAKA ◽  
Hideyuki NEMOTO ◽  
Hirohiko KONO ◽  
Yoshihiro MATSUDA

Food Biology ◽  
1970 ◽  
pp. 19-23
Author(s):  
Nawal Abdel-Gayoum Abdel-Rahman

The aim of this study is to use of karkede (Hibiscus sabdariffa L.) byproduct as raw material to make ketchup instead of tomato. Ketchup is making of various pulps, but the best type made from tomatoes. Roselle having adequate amounts of macro and micro elements, and it is rich in source of anthocyanine. The ketchup made from pulped of waste of soaked karkede, and homogenized with starch, salt, sugar, ginger (Zingiber officinale), kusbara (Coriandrum sativum) and gum Arabic. Then processed and filled in glass bottles and stored at two different temperatures, ambient and refrigeration. The total solids, total soluble solids, pH, ash, total titratable acidity and vitamin C of ketchup were determined. As well as, total sugars, reducing sugars, colour density, and sodium chloride percentage were evaluated. The sensory quality of developed product was determined immediately and after processing, which included colour, taste, odour, consistency and overall acceptability. The suitability during storage included microbial growth, physico-chemical properties and sensory quality. The karkede ketchup was found free of contaminants throughout storage period at both storage temperatures. Physico-chemical properties were found to be significantly differences at p?0.05 level during storage. There were no differences between karkade ketchup and market tomato ketchup concerning odour, taste, odour, consistency and overall acceptability. These results are encouraging for use of roselle cycle as a raw material to make acceptable karkade ketchup.


2020 ◽  
Author(s):  
Artur Schweidtmann ◽  
Jan Rittig ◽  
Andrea König ◽  
Martin Grohe ◽  
Alexander Mitsos ◽  
...  

<div>Prediction of combustion-related properties of (oxygenated) hydrocarbons is an important and challenging task for which quantitative structure-property relationship (QSPR) models are frequently employed. Recently, a machine learning method, graph neural networks (GNNs), has shown promising results for the prediction of structure-property relationships. GNNs utilize a graph representation of molecules, where atoms correspond to nodes and bonds to edges containing information about the molecular structure. More specifically, GNNs learn physico-chemical properties as a function of the molecular graph in a supervised learning setup using a backpropagation algorithm. This end-to-end learning approach eliminates the need for selection of molecular descriptors or structural groups, as it learns optimal fingerprints through graph convolutions and maps the fingerprints to the physico-chemical properties by deep learning. We develop GNN models for predicting three fuel ignition quality indicators, i.e., the derived cetane number (DCN), the research octane number (RON), and the motor octane number (MON), of oxygenated and non-oxygenated hydrocarbons. In light of limited experimental data in the order of hundreds, we propose a combination of multi-task learning, transfer learning, and ensemble learning. The results show competitive performance of the proposed GNN approach compared to state-of-the-art QSPR models making it a promising field for future research. The prediction tool is available via a web front-end at www.avt.rwth-aachen.de/gnn.</div>


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