Researchers identify over 2,000 potential toxins using machine learning

Researchers identify over 2,000 potential toxins using machine learning

In a novel study, researchers have unveiled new secrets about a fascinating bacterial weapon system that acts like a microscopic syringe. The research paper, titled “Identification of novel toxins associated with the extracellular contractile injection system using machine learning” is published in Molecular Systems Biology In a novel study, researchers have unveiled new secrets about a fascinating bacterial weapon system that acts like a microscopic syringe. The research paper, titled “Identification of novel toxins associated with the extracellular contractile injection system using machine learning” is published in Molecular Systems Biology Molecular & Computational biology Phys.org – latest science and technology news stories

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