Online ISSN: 2515-8260

Keywords : Antifungal activity


Synthesis And Biological Activity Of New Acetylene Ethers Of Carbamates

A.D. Djuraev; M.R. Yakubkhodjaeva; M.E. Abdullaeva; M.A. Atakhodjaeva

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 3566-3582

Research objective: to synthesize new carbamate derivatives - ɣ-bromopropargyl ethers of carbamate derivatives for their further application as initial compounds in the synthesis of simple and asymmetric diacetylene ethers of carbamate derivatives.
Materials and methods. Infrared spectra on UR-20 and UR-10 spectrometer (“Carl Zeiss”, Germany) were applied at 3600-500 cm-1, in the form of tablets pressed with KBr. For determination of purity of the obtained compounds, a thin layer chromatography was used. As an adsorbent we used a layer of AI2O3 of the II activity degree, and an iodine vapor as a developer.
Results and Discussion. Using the method of bromination of propargyl ethers of carbamate derivatives, ɣ -bromopropargyl ethers of carbamate derivatives were obtained, used in the synthesis of simple and asymmetric diacetylene ethers of carbamate derivatives. The optimal conditions for their synthesis were established in the process of studying the effect of various factors. Besides, antifungal and herbicide activity of the synthesized compounds was studied and analyzed. Compounds with high antifungal and herbicidal activity were determined.
Conclusion. Convenient methods were developed for obtaining new ɣ-bromopropargyl ethers of carbamate derivatives during the investigation. New simple diacetylene ethers of carbamate derivatives were synthesized by the reaction of interaction on the basis of propargyl ethers and ɣ-bromopropargyl ethers of carbamate derivatives. New asymmetric diacetylene ethers of carbamate derivatives were synthesized by carrying out the reaction of interaction based on propargyl ethers and ɣ-bromopropargyl ethers of various carbamate derivatives.

Synthesis Of Heterocyclic Nitrogen Containing Compounds Including In Silico Toxicity And Structural Activity Relationship

S. Singh; Dr. Shamim Ahmad; Dr. Md Shamsher Alam; Huma khan

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 7, Pages 6633-6645

In silico toxicology tools, steps to generate prediction models, and categories of prediction models. The purpose of this study is to provide a comprehensive overview of existing modeling methods and algorithms for toxicity prediction (element D above), with a particular (but not exclusive) emphasis on computational tools that can implement these methods (element E), and expert systems that deploy the prediction models (element F). Due to the nature of this expanding field, this study cannot provide an exhaustive overview of all the seven in silico components mentioned above. Prediction of Toxicity-associated properties of new chemicals is a big challenge. In admetSAR, probabilistic, regression as well as qualitative classification models were implemented for 'Human Ether-a-go-go-Related Gene Inhibition', 'AMES Toxicity', Carcinogenecity', 'Fish Toxicity', 'Tetrahymena Pyriformis Toxicity', 'Honey Bee Toxicity'.Among all the synthesized Pyrimidine derivatives (P1 to P5) , Pyrimidine derivatives P4 and P5 shows lesser toxicity.