Constructing three dimensional networks involves integrating data from multiple sources. This includes toxicogenomics, which provides insights into how genes respond to toxicants, and bioinformatics, which helps in analyzing biological data. Advanced computational tools such as machine learning and artificial intelligence are often employed to process and analyze complex datasets, enabling the construction of dynamic models that reflect the multifaceted nature of toxicant interactions.
