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Researchers at Google DeepMind described a method to embed detectable watermarks into AI-designed protein sequences without breaking their function. The approach adapts Google’s SynthID watermarking concept to work with ProteinMPNN, a widely used protein design tool, allowing tagged designs to be distinguished from untagged sequences when the watermark key is known.
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