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Fig. 2 | Plant Methods

Fig. 2

From: Pre-trained protein language model sheds new light on the prediction of Arabidopsis protein–protein interactions

Fig. 2

AUPR values of combinations between nine pLMs from ESM and three machine learning algorithms. Of the different ESM models, ESM-1v was fine-tuned for predicting variant effects and contained five models with different random seeds. ESM-1b differs from ESM-1 mainly in higher learning rate, dropout after word embedding, learned positional embeddings, final layer norm before the output, and tied input/output word embedding. A The results from the independent dataset C2 where only one protein in each pair appeared in the training dataset (i.e., C1), while B corresponds to the results from the independent dataset C3 where no protein in each pair appeared in the training dataset (i.e., C1)

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