Research trends of computational toxicology: a bibliometric analysis.

ABSTRACT:

Background

Computational toxicology utilizes computer models and simulations to predict the toxicity of chemicals. Bibliometric studies evaluate the impact of scientific research in a specific field.

Methods

A bibliometric analysis of the computational methods used in toxicity assessment was conducted on the Web of Science between 1977 and 2024 February 12.

Results

Findings of this study showed that computational toxicology has evolved considerably over the years, moving towards more advanced computational methods, including machine learning, molecular docking, and deep learning. Artificial intelligence significantly enhances computational toxicology research by improving the accuracy and efficiency of toxicity predictions.

Conclusion

Generally, the study highl

SUBMITTER: Yarmohammadi F 

PROVIDER: S-EPMC11416057 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature