Identification of novel toxins associated with the extracellular contractile injection system using machine learning
Aleks Danov,
Inbal Pollin,
Eric Moon
et al.
Abstract:Secretion systems play a crucial role in microbe-microbe or host-microbe interactions. Among these systems, the extracellular contractile injection system (eCIS) is a unique bacterial and archaeal extracellular secretion system that injects protein toxins into target organisms. However, the specific proteins that eCISs inject into target cells and their functions remain largely unknown. Here, we developed a machine learning classifier to identify eCIS-associated toxins (EATs). The classifier combines genetic a… Show more
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