Sooyoung Cha

Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute

Protein interaction modeling is central to protein design, which has been transformed by machine learning with broad applications in drug discovery and beyond. In this landscape, structure-based de novo binder design is most often cast as either conditional generative modeling or sequence optimizati…