TACFormer generates full PROTACs conditioned on target protein sequences
A GPT-style decoder uses ESM-2 embeddings of the protein of interest instead of designing only the linker.
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A GPT-style decoder uses ESM-2 embeddings of the protein of interest instead of designing only the linker.
Learned latent protein languages improve autoregressive sequence and structure generation versus amino-acid tokens.
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