Type III secretion systems (T3SSs) are bacterial membrane-embedded nanomachines that allow a number of human, plant, and animal pathogens to inject virulence factors directly into the cytoplasm of eukaryotic cells. Export of effectors through T3SSs is critical for motility and virulence of many major Gram-negative pathogens.

DeepT3 2.0 is a web server that integrates different deep learning models for genome-wide predicting T3SEs from a bacterium of interest. Six deep learning architectures including convolutional, recurrent, convolutional-recurrent and multilayer neural networks are intrgrated to learn N-terminal representations of proteins specifically for T3SEs prediction. Outcomes from the different models are processed for discriminating T3SEs and non-T3SEs.