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State-of-the-art pre-trained transformer language models for protein sequences, enabling tasks like structure prediction and function annotation.
A benchmark for evaluating protein language models through five biologically relevant semi-supervised learning tasks.
A multi-channel neural network for predicting compound-protein interactions using molecular and protein sequence embeddings.
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