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RipplePLM: Structural and Property Decoupling for Protein Mutation Effect Generation
Protein mutation effect generation asks a model to describe the functional consequence of a point mutation in natural language. Existing protein-to-text systems typically encode mutation information into undifferentiated representations, overlooking the organization of mutation-induced evidence acro
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