Simulating Carcinogen Metabolism in Freshwater Ecosystems and Its Implications for Chemoprevention Using the MetaCarboNet Algorithm

Abstract

Carcinogen metabolism in freshwater systems is a complicated process that carries significant consequences for environmental health and human welfare. The fate of chemical pollutants including carcinogenic pollutants in aquatic systems can cause disruptions in aquatic systems that can lead to bioaccumulation and toxic exposures in aquatic organisms. This analysis produces a simulation study of carcinogen metabolism in freshwater ecosystems using the MetaCarboNet algorithm. The algorithm combines an ecological model with chemoprevention strategies to evaluate the potential to limit carcinogenic exposures in aquatic environments. By simulation, we aim to demonstrate the biochemical interactions that occur between carcinogens and aquatic organisms, and more importantly pathways in biological systems that can degrade harmful substances. With the incorporation of chemoprevention, the study assesses the potential to limit carcinogen induced health risks in freshwater systems. The outcomes have significant implications for the field of environmental toxicology as they have the potential to provide a new way of evaluating environment health and ecosystems health from a computational modelling point of view. Overall, the findings provide a new way to think about proactive approaches to prevent and manage carcinogen exposure in freshwater ecosystems, and offers opportunities to widen research and developments in policies going forward.