Qinyang Ni
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View article: Improved Prediction of Bacterial Type VI Secretion Effector Proteins Using an Integrated Convolutional Neural Network Model Combining N-terminal Signal Sequences, Evolutionary Information and Pre-Trained Protein Language Features
Improved Prediction of Bacterial Type VI Secretion Effector Proteins Using an Integrated Convolutional Neural Network Model Combining N-terminal Signal Sequences, Evolutionary Information and Pre-Trained Protein Language Features Open
Type VI secretion system effectors (T6SEs) are crucial for bacterial pathogenicity, making their accurate identification essential for understanding bacterial virulence mechanisms. This study analyzed the differences in amino acid composit…
View article: T4SEpp: A pipeline integrating protein language models to predict bacterial type IV secreted effectors
T4SEpp: A pipeline integrating protein language models to predict bacterial type IV secreted effectors Open
View article: T4SEpp: a pipeline integrated with protein language models effectively predicting bacterial type IV secreted effectors
T4SEpp: a pipeline integrated with protein language models effectively predicting bacterial type IV secreted effectors Open
Many pathogenic bacteria use type IV secretion systems(T4SSs) to deliver effectors (T4SEs) into the cytoplasm of eukaryotic cells, causeing diseases. The identification of effectors is a crucial step in understanding the mechanisms of bact…