Contrastive-learning of language embedding and biological features for cross modality encoding and effector prediction
Abstract Identifying and characterizing virulence proteins secreted by Gram-negative bacteria are fundamental for deciphering microbial pathogenicity as well as aiding the development of therapeutic strategies. Effector predictors utilizing pre-trained protein language models (PLMs) have shown sound...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-025-56526-1 |
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