scholarly journals Microwave synthesis of 2,3,5-trisubstituted-1,3-imidazolidin-4-ones bearing 1,3,4-oxadiazole moiety and preliminary evaluation of their antibacterial activity

2019 ◽  
Author(s):  
Zeid Hassan Abood ◽  
Hayder Raheem Ali ◽  
Hussein Ali Qabel
RSC Advances ◽  
2019 ◽  
Vol 9 (67) ◽  
pp. 39367-39380 ◽  
Author(s):  
Waldemar Tejchman ◽  
Bartosz Orwat ◽  
Izabela Korona-Głowniak ◽  
Anna Barbasz ◽  
Ireneusz Kownacki ◽  
...  

An efficient microwave-assisted synthesis of rhodanine and 2-thiohydantoin derivatives, and the correlation between their chemical structure and biological properties is reported.


2013 ◽  
Vol 49 (4) ◽  
pp. 653-658 ◽  
Author(s):  
Camila Spereta Bertanha ◽  
Susane Hellen Utrera ◽  
Valéria Maria Melleiro Gimenez ◽  
Milton Groppo ◽  
Márcio Luis Andrade e Silva ◽  
...  

The antibacterial activity of the compounds egonol (1) and homoegonol (2), of the crude ethanolic extract of Styrax pohlii (Styracaceae) aerial parts (EE), and of its n-hexane (HF), EtOAc (EF), n-BuOH (BF), and hydromethanolic (HMF) fractions was evaluated against the following microorganisms: Streptococcus pneumoniae (ATCC 6305), S. pyogenes (ATCC 19615), Haemophilus influenzae (ATCC 10211), Pseudomonas aeruginosa (ATCC 27853), and Klebsiella pneumoniae (ATCC 10031). The broth microdilution method was used for determination of the minimum inhibitory concentration (MIC) during preliminary evaluation of antibacterial activity. The EE yielded MIC values of 400 µg/mL for S. pneumoniae and P. aeruginosa and 300 µg/mL for H. influenzae. The HF and EF fractions exhibited enhanced antibacterial activity, with MIC values of 200 µg/mL against S. pneumoniae, but only EF displayed activity against H. influenzae (MIC 200 µg/mL). The best MIC value with compounds 1 and 2 (400 µg/mL) was obtained for (1) against S. pneumoniae and P. aeruginosa. Therefore, 1 exhibited weak antibacterial activity against these standard strains.


2021 ◽  
Vol 2 (9) ◽  
pp. 01-05
Author(s):  
Maryam Kouhkan ◽  
Ramin Javahershenas ◽  
Jabbar Khalafy

Background: Pyrimidine molecules' biological and chemotherapeutic importance in the medicinal world has been overlooked in many reports. We have previously synthesized new series of pyrrolo [3,2-d]pyrimidine derivatives (4a-4f) and here, we evaluate the antibacterial activity of these derivatives against Staphylococcus aureus, Pseudomonas aeruginosa, Escherichia coli and Salmonella bacteria. Materials and Methods: The agar well diffusion and agar dilution methods were used for determining inhibition zone diameter and minimum inhibitory concentration during preliminary evaluation of antimicrobial activity against gram-positive and gram-negative bacteria. Statistical analysis using Microsoft Excel 2010 was based on three independent experiments and the results were expressed as mean. Results: Some of the synthesized compounds exhibited antibacterial activity against the tested bacteria. Conclusion: Our findings indicate the antibacterial potential of the six novel synthetic pyrrolo[3,2-d]pyrimidine compounds.


1989 ◽  
Vol 32 (3) ◽  
pp. 681-687 ◽  
Author(s):  
C. Formby ◽  
B. Albritton ◽  
I. M. Rivera

We describe preliminary attempts to fit a mathematical function to the slow-component eye velocity (SCV) over the time course of caloric-induced nystagmus. Initially, we consider a Weibull equation with three parameters. These parameters are estimated by a least-squares procedure to fit digitized SCV data. We present examples of SCV data and fitted curves to show how adjustments in the parameters of the model affect the fitted curve. The best fitting parameters are presented for curves fit to 120 warm caloric responses. The fitting parameters and the efficacy of the fitted curves are compared before and after the SCV data were smoothed to reduce response variability. We also consider a more flexible four-parameter Weibull equation that, for 98% of the smoothed caloric responses, yields fits that describe the data more precisely than a line through the mean. Finally, we consider advantages and problems in fitting the Weibull function to caloric data.


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