Engineering Phytochemicals to Prevent Carcinogenesis in Aquatic Life Through the PhytoChemoprevNet Algorithm

Abstract

Carcinogenesis in aquatic organisms, primarily from environmental pollutants (e.g. heavy metals and pesticides), threatens biodiversity and humans. Plant-based compounds (phytochemicals) are naturally occurring substances that have the potential to reverse the effects of carcinogenic compounds. This paper introduced a computational model (PhytoChemoprevNet Algorithm) that simulates the effects of phytochemicals when selecting preventive or counteracting phytochemicals against carcinogenic substances in aquatic environments. The PhytoChemoprevNet Algorithm integrates the biological responses of aquatic organisms exposed to carcinogenic compounds and the effect of environmental conditions within and among the phytochemical profiles, to produce, potentially, biologically relevant phytochemicals for the prevention of cancer in aquatic organisms. The proposed application of the algorithm provides an innovative method that encompasses scalability and adaptiveness for assessing phytochemicals in mitigating carcinogenesis. The proposed research illustrates novel opportunities for targeted actions based on computational methods in the domain of environmental health for aquatic life against carcinogenic damage. Consequently, positive impacts on ecosystems based on deployment of effective management and stewardship of environmental resources will provide enhanced resilience in ecosystem quality and support sustainable development activities.