Unsupervised discovery of functional sequence patterns from protein language model with MotifAE
Nature
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Researchers developed MotifAE, an unsupervised sparse autoencoder framework that extracts interpretable functional sequence patterns from protein language model embeddings, improving motif identification and enabling protein function analysis and engineering.
