POOE: predicting oomycete effectors based on a pre-trained large protein language model

POOE: predicting oomycete effectors based on a pre-trained large protein language model

ABSTRACTOomycetes are fungus-like eukaryotic microorganisms which can cause catastrophic diseases in many plants. Successful infection of oomycetes depends highly on their effector proteins that are secreted into plant cells to subvert plant immunity. Thus, systematic identification of effectors fro...

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Bibliografski detalji
Glavni autori: Miao Zhao, Chenping Lei, Kewei Zhou, Yan Huang, Chen Fu, Shiping Yang, Ziding Zhang
Format: Članak
Jezik:English
Izdano: American Society for Microbiology 2024-01-01
Serija:mSystems
Teme:
effectors
oomycetes
prediction
bioinformatics
machine learning
protein language model
Online pristup:https://journals.asm.org/doi/10.1128/msystems.01004-23

Internet

https://journals.asm.org/doi/10.1128/msystems.01004-23

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