Disease: pesticide toxicity

XenoBug: machine learning-based tool to predict pollutant-degrading enzymes from environmental metagenomes

XenoBug is a new artificial intelligence tool that helps scientists find bacteria and their enzymes that can break down harmful pollutants like pesticides, plastics, and petroleum products. The tool analyzes genetic information from environmental samples to predict which enzymes can degrade specific toxic chemicals. This discovery approach could make environmental cleanup faster and cheaper by identifying the right microbes for the job. Researchers can use XenoBug to get starting points for developing new biological cleanup solutions.

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Biotransformation of Pesticides across Biological Systems: Molecular Mechanisms, Omics Insights, and Biotechnological Advances for Environmental Sustainability

This review explains how living organisms like bacteria, plants, and animals break down pesticides through biological processes called biotransformation. The body uses special enzymes to transform pesticides into forms that are easier to eliminate. Understanding these natural cleanup processes helps scientists develop better strategies to remove pesticide pollution from soil and water, protecting both human health and ecosystems.

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