Online ISSN: 2515-8260

Keywords : Heterocyclic compounds

A Review On: Imidazole Derivatives As A Multifunctional Moiety

Prachi Kanawaade , Neeraj Sharma , Ramdas Pandhare

European Journal of Molecular & Clinical Medicine, 2023, Volume 10, Issue 1, Pages 4382-4405

Imidazole nucleus has been potential studied member from heterocyclic compound family. Imidazole and its derivatives showing good pharmacological activities against various diseases. Imidazole is the heterocyclic molecule which having   the  interesting physical and chemical properties, in the present article focus lies on analysis of these properties which in turn may be exploited for different pharmacological activities, like compounds having a 3,4,5-trimethoxyphenyl ring linked to either N-1 or C-4 position of the imidazole entity gave an interesting profile of cytotoxicity with specific activity against leukemia cell lines, combination of indole-imidazole compounds formed demonstrated substantial in vitro anti proliferative activities against cancer cell lines, effective substitutions are also made in the entity which resembles structures of various natural compounds whose anti cancerous activity has already been examined. The present review study highlighting pharmacological potential of the imidazole. In present study we have discussed compounds synthesized with imidazole moieties as their structural framework. Thus can say imidazole is a moiety which had been exploited in the past years for synthesizing various compounds having versatile pharmacological activities, and still it can be further utilized for future prospective against various pathological conditions and other uses

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.