Reward-guided latent space search designs high-affinity protein binders
KevinKaichuang · x · 2026-09-22
The author shares an AI4Science approach: using reward-guided search in a generative model's latent space to design protein binders with high affinity to both proteins and carbohydrates, moving the search from discrete sequence space into latent space.
Related event: Reward-Guided Latent Search for High-Affinity Protein Binders(2 posts)→
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