ArticlePharmaceuticals (Basel, Switzerland)2022
Antioxidant Activity of Pharmaceuticals: Predictive QSAR Modeling for Potential Therapeutic Strategy.
Article in Pharmaceuticals (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Exploration of 1-(2,4-difluorophenyl)-5-oxopyrrolidine-3-carboxylic acid derivatives effect on triple-negative breast, prostate cancer and melanoma cell 2D and 3D cultures.Scientific reports · 2025Article
- Predicting antioxidant activity of compounds based on chemical structure using machine learning methods.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2024Article
- QSAR Regression Models for Predicting HMG-CoA Reductase Inhibition.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Multistep Approach Points to Compounds Responsible for the Biological Activity and Safety of Hydrolates from NineAntioxidants (Basel, Switzerland) · 2023Article
- In vitro and in vivo assessment of the antioxidant potential of isoxazole derivatives.Scientific reports · 2022Article
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Authors and funding
5 authors.
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Abstract
Since oxidative stress has been linked to several pathological conditions and diseases, drugs with additional antioxidant activity can be beneficial in the treatment of these diseases. Therefore, this study takes a new look at the antioxidant activity of frequently prescribed drugs using the HPLC-DPPH method. The antioxidative activity expressed as the TEAC value of 82 drugs was successfully determined and is discussed in this work. Using the obtained values, the QSAR model was developed to predict the TEAC based on the selected molecular descriptors. The results of QSAR modeling showed that four- and seven-variable models had the best potential for TEAC prediction. Looking at the statistical parameters of each model, the four-variable model was superior to seven-variable. The final model showed good predicting power (
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