Insilico Drug Design and Molecular Docking Studies of Novel 2- Amino Benzothiazole Derivatives for Antiischemic

A series of 2-amino benzothiazole derivatives were designed for their potential as therapeutic agents. This involved the formation of various benzothiazole-based compounds, which were then subjected to molecular docking studies to predict their binding affinities and interaction patterns with target biomolecules. In silico design techniques, including virtual screening and molecular dynamics simulations, were employed to optimize the chemical structure and enhance biological activity. The prediction of biological activity and toxicity profiles was performed using the PASS software, which identified key pharmacological properties, while ADMET analysis (Absorption, Distribution, Metabolism, Excretion, and Toxicity) via ADMETSAR provided insights into the compounds' drug-likeness and safety profiles. The results from these computational approaches suggest that certain derivatives exhibit promising binding affinities and favorable pharmacokinetic properties, indicating their potential as lead candidates for further experimental validation. This study highlights the importance of integrated computational methods in the rational design of bioactive molecules and their potential in drug discovery

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Publication Details

Journal
International Journal of Pharmaceutical Research and Applications
Published
2025-03-01
DOI
https://doi.org/10.35629/4494-100315681578
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Insilico Drug Design and Molecular Docking Studies of Novel 2- Amino Benzothiazole Derivatives for Antiischemic

M Mini, Julie S. Biteen, Justin A. Edward, Akash. P.R Akash. P.R et al.
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International Journal of Pharmaceutical Research and Applications
Computational Drug Discovery Methods
article

Insilico Drug Design and Molecular Docking Studies of Novel 2- Amino Benzothiazole Derivatives for Antiischemic

M Mini, Julie S. Biteen, Justin A. Edward, Akash. P.R Akash. P.R, Mr. Bravin D. Emmanuel Mr. Bravin D. Emmanuel, M Pharm, Pratap G. Kenchappa, Varunkumar. R Varunkumar. R, Kalaiselvan. G Kalaiselvan. G
article en

Abstract

A series of 2-amino benzothiazole derivatives were designed for their potential as therapeutic agents. This involved the formation of various benzothiazole-based compounds, which were then subjected to molecular docking studies to predict their binding affinities and interaction patterns with target biomolecules. In silico design techniques, including virtual screening and molecular dynamics simulations, were employed to optimize the chemical structure and enhance biological activity. The prediction of biological activity and toxicity profiles was performed using the PASS software, which identified key pharmacological properties, while ADMET analysis (Absorption, Distribution, Metabolism, Excretion, and Toxicity) via ADMETSAR provided insights into the compounds' drug-likeness and safety profiles. The results from these computational approaches suggest that certain derivatives exhibit promising binding affinities and favorable pharmacokinetic properties, indicating their potential as lead candidates for further experimental validation. This study highlights the importance of integrated computational methods in the rational design of bioactive molecules and their potential in drug discovery

International Journal of Pharmaceutical Research and ApplicationsVol. 10(3)
Hindu College of Pharmacy (IN)
Good health and well-being
Openalex Percentile: Top 84%
Computational Drug Discovery Methods
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