Small Molecules Regulating the Redox Landscape for Therapy

A special issue of Pharmaceuticals (ISSN 1424-8247). This special issue belongs to the section "Medicinal Chemistry".

Deadline for manuscript submissions: closed (15 January 2023) | Viewed by 1969

Special Issue Editor


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Guest Editor
Chemistry | Biology | Pharmacy Information Center, ETH Zürich, Vladimir-Prelog-Weg 10, CH-8093 Zürich, Switzerland
Interests: redox biology; inflammation; host–pathogen interaction; neurodegeneration; chemical biology

Special Issue Information

Dear Colleagues,

Reactive oxygen species (ROS) play a crucial role in the regulation of physiological processes; however, deregulated ROS contribute to the development of a large number of human diseases. Consequently, the cellular redox landscape is tightly controlled by complex mechanisms that have been only partially elucidated. As of today, numerous disorders have been linked to the deregulation of ROS homeostasis, including cancer, neurodegenerative diseases and psychiatric disorders. Hence, the redox landscape is an interesting therapeutic target for the development of novel pharmaceuticals. For instance, several therapies attempt to modulate ROS production by inhibiting key players in the redox landscape in order to prevent the development of neuroinflammation in neurodegeneration or the spread of necrosis in ischemic stroke. Other strategies aim to increase ROS production to sensitize cancer cells in radiotherapy or to combat infectious agents. Often, these strategies rely on small molecules that can be classified as various oxidants or antioxidants. More sophisticated approaches employ small molecules that are tailored to selectively inhibit key components of the redox landscape. Our increasing understanding of redox biology in conjunction with advances in chemical biology and medicinal chemistry enable researchers to create novel tools and compounds to modulate the redox landscape in human diseases. This Special Issue aims to summarize the most recent developments in potential therapeutic strategies that make use of small molecules for targeting ROS imbalance and restoring the redox landscape in human diseases.

Dr. Dennis Özcelik
Guest Editor

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Keywords

  • small molecules
  • drug development
  • hypoxia
  • oxidative stress response
  • reactive oxygen species
  • redox homeostasis
  • antioxidants
  • pharmaceuticals applications

Published Papers (1 paper)

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Research

13 pages, 942 KiB  
Article
Antioxidant Activity of Pharmaceuticals: Predictive QSAR Modeling for Potential Therapeutic Strategy
by Mario-Livio Jeličić, Jelena Kovačić, Matija Cvetnić, Ana Mornar and Daniela Amidžić Klarić
Pharmaceuticals 2022, 15(7), 791; https://doi.org/10.3390/ph15070791 - 24 Jun 2022
Cited by 2 | Viewed by 1564
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 [...] Read more.
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 (r = 0.927) considering the selected descriptors, implying that it can be used as a fast and economically acceptable evaluation of antioxidative activity. The advantage of such model is its ability to predict the antioxidative activity of a drug regardless of its structural diversity or therapeutic classification. Full article
(This article belongs to the Special Issue Small Molecules Regulating the Redox Landscape for Therapy)
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