Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute explores A novel generative AI method for atomistic protein binder design that unifies generative modeling and sequence optimization, achieving state-of-the-art results and releasing code, models, and data.. Commercial viability score: 8/10 in Protein Design.
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