scholarly journals Confirmed Mechanism for 1,8-Diaminonaphthalene and Ethyl Aroylpyrovate Derivatives Reaction, DFT/B3LYP, and Antimicrobial Activity of the Products

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Sraa Abu-Melha

Two new series of perimidine derivatives were prepared from the reaction of 1,8-diaminonaphthalene with ethyl aroylpyrovate followed by coupling for the products. The structures, the mechanism, and the tautomeric forms of the products have been discussed on the basis of spectral data aided with the computational study. Applying Guassian09 software, the reaction mechanism was assured. The energy contents were computed after optimization for all proposed structures. The likely extracted compound has a reduced heat during formation and internal energy which coincides with experimental outcomes. The antimicrobial activity of all products was screened, and their results indicated the presence of five derivatives more potent than the reference drugs used. The simulation procedure was executed by Autodock 4.2 tools over the expected compounds yielded (12 and 21). This computational technique asserts on the drug behavior inside the causative organism proteins. The organisms here match with that used in the antimicrobial and antifungal study.

2019 ◽  
Vol 31 (9) ◽  
pp. 1895-1898
Author(s):  
Relangi Siva Subrahmanyam ◽  
Venkateswara Rao Anna

We report here an easy, efficient and green synthetic protocol for the (E)-1-aryl-3-(2-morpholinoquinolin-3-yl)prop-2-en-1-ones by the Claisen-Schmidt condensation of 2-morpholinoquinoline-3-carbaldehyde and different substituted acetophenones by using 1-butyl-3-methylimidazolium tetrafluoroborate (Bmim)BF4. The compounds were characterized by using 1H NMR, 13C NMR and mass spectral data and screened there in vitro antimicrobial activity against different bacterial and fungal organisms.


RSC Advances ◽  
2021 ◽  
Vol 11 (30) ◽  
pp. 18246-18251
Author(s):  
Selçuk Eşsiz

A computational study of metal-free cyanomethylation and cyclization of aryl alkynoates with acetonitrile is carried out employing density functional theory and high-level coupled-cluster methods, such as [CCSD(T)].


2017 ◽  
Vol 15 (30) ◽  
pp. 6367-6374 ◽  
Author(s):  
Song-Lin Zhang ◽  
Hai-Xing Wan ◽  
Zhu-Qin Deng

A detailed computational study is presented on the reaction mechanism of ynamide-mediated condensation of carboxylic acids with amines to produce amides, which elucidates the reactivity pattern of the coupling reagent ynamide and discloses crucial bifunctional catalytic effects of the carboxylic acid substrate during aminolysis.


Molecules ◽  
2018 ◽  
Vol 23 (11) ◽  
pp. 2793 ◽  
Author(s):  
Ameen Abu-Hashem

Substituted-6-methyl-1-thioxo-1,2-dihydro-3H-furo[3,2-g]pyrimido[1,6-a]quinazolin-3-ones (5a,b) were synthesized from condensation of visnagenone (2a) or khellinone (2b) with 6-amino-thiouracil (3) in dimethylformamide or refluxing of (4a) or (4b) in dimethylformamide. Hence, compounds (5a,b) were used as the starting materials for preparing many new heterocyclic compounds such as; furo[3,2-g]pyrimido[1,6-a]quinazoline (6a,b), furo[3,2-g]thiazolo[2′,3′:2,3]pyrimido[1,6-a]quinazolinone (7a,b), substituted-benzylidene-furo[3,2-g]thiazolo[2′,3′:2,3]pyrimido[1,6-a]quinazoline-3,5-dione (8a–f), 3-oxo-furo[3,2-g]pyrimido[1,6-a]quinazoline-pentane-2,4-dione (9a,b), 1-(pyrazole)-furo[3,2-g]pyrimido[1,6-a]quinazolinone (10a,b), 2-(oxo or thioxo)-pyrimidine-furo[3,2-g]pyrimido[1,6-a]quinazolinone (11a–d), 1-(methylthio)-furo[3,2-g]pyrimido[1,6-a]quinazolinone (12a,b), 1-(methyl-sulfonyl)-furo[3,2-g]pyrimido[1,6-a]quinazolinone (13a,b) and 6-methyl-1-((piperazine) or morpholino)-3H-furo[3,2-g]pyrimido[1,6-a]quinazolin-3-one (14a–d). The structures of the prepared compounds were elucidated on the basis of spectral data (IR, 1H-NMR, 13C-NMR, MS) and elemental analysis. Antimicrobial activity was evaluated for the synthesized compounds against Gram-positive, Gram-negative bacteria and fungi. The new compounds, furothiazolo pyrimido quinazolines 8a–f and 11a–d displayed results excellent for growth inhibition of bacteria and fungi.


1976 ◽  
Vol 31 (2) ◽  
pp. 190-193 ◽  
Author(s):  
Werner J. Rühl ◽  
Friedhelm Kober

The reaction of tris-[dimethylamino]-arsine As(NMe2)3 with arsinous acid diolesters HO—RO—AsMe2 leads to the formation of the arsolanes RO2AsY (Y = NMe2, OROAsMe2) and the arsines Me2AsX (X = NMe2, OROAsMe2). The reaction mechanism is discussed; IR and 1H NMR spectral data are presented.


2018 ◽  
Vol 9 (8) ◽  
pp. 2348-2356 ◽  
Author(s):  
Clare Bakewell ◽  
Bryan J. Ward ◽  
Andrew J. P. White ◽  
Mark R. Crimmin

Through a combined experimental and computational (DFT) approach, the reaction mechanism of the addition of fluoroarenes to Mg–Mg bonds has been determined as a concerted SNAr-like pathway in which one Mg centre acts as a nucleophile and the other an electrophile.


1985 ◽  
Vol 40 (5) ◽  
pp. 693-701 ◽  
Author(s):  
Teris A. van Beek ◽  
Peter P. Lankhorst ◽  
Robert Verpoorte ◽  
Georges Massiot ◽  
Roel Fokkens ◽  
...  

Abstract From the rootbark of Tabernaemontana chippii and the stembark of T. dichotoma a novel dimeric indole alkaloid was isolated which was named monogagaine. It was assigned structure 1 on the basis of spectral data. It showed antimicrobial activity against Bacillus subtilis.


2020 ◽  
Vol 11 (1) ◽  
pp. 257-263 ◽  
Author(s):  
Gianluca Casotti ◽  
Gianluca Ciancaleoni ◽  
Filippo Lipparini ◽  
Chiara Nieri ◽  
Anna Iuliano

The reaction mechanism of a new conjugate addition reaction of organozinc halides to enones is disclosed by a combined experimental/computational study.


2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Wasim Aftab ◽  
Adnan Memic ◽  
Dumitru Baleanu

Our goal in this present study is to introduce new wavelet based methods for differentiating and classifying Class I and Class II PDZ domains and compare the resulting signals. PDZ domains represent one of the most common protein homology regions playing key roles in several diseases. To perform the classification, we developed two methods. The first of our methods was comparable to the standard wavelet approaches while the second one surpasses it in recognition accuracy. Our models exhibited interesting results, and we anticipate that it can be used as a computational technique to screen out the misfit candidates and to reduce the search space, while achieving high classification and accuracy.


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