Computational models of antiviral toxicity

Area of Science:

• Pharmacology
• Computational Biology
• Toxicology

Background:

• Antiviral drug toxicity is a significant challenge in managing chronic viral infections.
• Long-term treatment, particularly for HIV, often leads to adverse drug reactions.

Purpose of the Study:

• To review the application of computational models in understanding antiviral drug toxicity.
• To analyze recent research combining experimental and computational approaches to antiviral toxicity.

Main Methods:

• Literature review of studies employing computational and experimental techniques.
• Analysis of different perspectives on antiviral toxicity explored in recent research.

Main Results:

• Computational models offer a valuable approach to exploring antiviral drug toxicity.
• Integration of experimental and computational methods provides diverse insights into drug side effects.

Conclusions:

• Computational modeling shows promise in addressing antiviral drug toxicity.
• Future research should focus on refining these models and exploring new avenues for mitigating drug-induced adverse effects.