Anti-Therapeutic Action: persistent organic pollutants

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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Novel Approach in Biodegradation of Synthetic Thermoplastic Polymers: An Overview

This review explores how microorganisms like fungi and bacteria can break down plastic waste, which is a major environmental problem. Plastic bags and packaging materials take thousands of years to decompose naturally, but certain fungi produce special enzymes that can degrade plastics more quickly. The research suggests that using biodegradable plastics and microbial degradation could be promising solutions to reduce plastic pollution in soil and marine environments.

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