GoKawiilGoogle DeepMind adapts SynthID watermarking to AI-designed protein sequences
Researchers have extended Google's SynthID-text watermarking system to ProteinMPNN, a widely used protein sequence design model, creating a method called SynthIDBio-sequence. The approach embeds a detectable signal during the autoregressive sampling of amino acids, using a random seed, scoring function and tournament sampling algorithm similar to the text version. Because protein design typically uses low-temperature sampling that limits randomness, the team also developed a distortionary variant with an added filter to preserve detectability.