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Plant Methods|December 7, 2023
Pre-trained protein language model sheds new light on the prediction of Arabidopsis protein-protein interactionsKewei Zhou, Chenping Lei, Jingyan Zheng, et al.Msystems|December 11, 2023
POOE: predicting oomycete effectors based on a pre-trained large protein language modelMiao Zhao, Chenping Lei, Kewei Zhou, et al.Journal of Proteome Research|December 9, 2023
AraPathogen2.0: An Improved Prediction of Plant-Pathogen Protein-Protein Interactions Empowered by the Natural Language Processing TechniqueChenping Lei, Kewei Zhou, Jingyan Zheng, et al.The Plant Journal : for Cell and Molecular Biology|November 24, 2025
PPEPFinder: A deep learning framework integrating sequence embeddings and structural graph representations for predicting fungal and oomycete effector proteinsMengdi Yuan, Shaoke Zhang, Jiajun Li, et al.Pageof 1