Machine learning for the prediction of gram-negative bacterial secreted effectors: advances and challenges

Accurately identifying virulence-associated proteins secreted by Gram-negative pathogens is essential for elucidating bacterial pathogenic mechanisms and developing novel antimicrobial interventions. However, traditional experimental approaches for effector identification are time-consuming and labo...

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Hlavní autoři:	Lesong Wei, Shida He, Zhengyang Fan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2026-04-01
Edice:	Frontiers in Chemistry
Témata:	gram-negative bacterial secreted effectors secreted effector prediction machine learning protein language model negative dataset construction
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fchem.2026.1810136/full
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