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Biological Evaluation and Molecular Docking with In Silico Physicochemical, Pharmacokinetic and Toxicity Prediction of Pyrazolo[1,5-a]pyrimidines

Authors: Ahmed M. Naglah; Ahmed A. Askar; Ashraf S. Hassan; Tamer K. Khatab; Mohamed A. Al-Omar; Mashooq A. Bhat;

Biological Evaluation and Molecular Docking with In Silico Physicochemical, Pharmacokinetic and Toxicity Prediction of Pyrazolo[1,5-a]pyrimidines

Abstract

Pyrazolo[1,5-a]pyrimidines 5a–c, 9a–c and 13a–i were synthesized for evaluation of their in vitro antimicrobial properties against some microorganisms and their immunomodulatory activity. The biological activities of pyrazolo[1,5-a]pyrimidines showed that the pyrazolo[1,5-a]pyrimidines (5c, 9a, 9c, 13a, 13c, 13d, 13e and 13h) displayed promising antimicrobial and immunomodulatory activities. Studying the in silico predicted physicochemical, pharmacokinetic, ADMET and drug-likeness properties for the pyrazolo[1,5-a]pyrimidines 5a–c, 9a–c and 13a–i confirmed that most of the compounds (i) were within the range set by Lipinski’s rule of five, (ii) show higher gastrointestinal absorption and inhibition of some CYP isoforms, and (iii) have a carcinogenicity test that was predicted as negative and hERG test that presented medium risk. Moreover, the molecular docking study demonstrated that the compounds 5c, 9a, 9c, 13a, 13c, 13d, 13e and 13h are potent inhibitors of 14-alpha demethylase, transpeptidase and alkaline phosphatase enzymes. This study could be valuable in the discovery of a new series of drugs.

Keywords

Carcinogenicity Tests, enzyme inhibitor, Organic chemistry, pyrazolo[1,5-<i>a</i>]pyrimidine, Gram-Positive Bacteria, Article, QD241-441, Anti-Infective Agents, Fusarium, Candida albicans, Gram-Negative Bacteria, Enterococcus faecalis, Escherichia coli, Humans, Computer Simulation, immunomodulatory, Molecular Structure, Fungi, molecular docking, Alkaline Phosphatase, Lipinski’s rule, Anti-Bacterial Agents, Molecular Docking Simulation, Aspergillus, 14-alpha Demethylase Inhibitors, Drug Design, Peptidyl Transferases, antimicrobial, lipinski’s rule, Caco-2 Cells

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    26
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Average
Top 10%
Green
gold
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