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MoCETSE: A mixture-of-convolutional experts and transformer-based model for predicting Gram-negative bacterial secreted effectors

2025-08-08

Abstract excerpt

Identifying effector proteins of Gram-negative bacterial secretion systems is crucial for understanding their pathogenic mechanisms and guiding antimicrobial strategies. However, existing studies often directly rely on the outputs of protein language models for learning, which may lead to difficulties in accurately recognizing complex sequence features and long-range dependencies, thereby affecting prediction perf...

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Literature Corpus work
f6ab629f-816d-56a1-8807-54da97976e46
DOI
10.1101/2025.08.06.668857
Open publication

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MoCETSE: A mixture-of-convolutional experts and transformer-based model for predicting Gram-negative bacterial secreted effectorsDOI 10.1101/2025.08.06.668857
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