6 citations · 8 across the 4 of their papers we have counts for
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cs.LG2026★ 1 cited
Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
Kieran Didi, Zuobai Zhang, Guoqing Zhou +11
Protein interaction modeling is central to protein design, which has been transformed by machine learning with applications in drug discovery and beyond. In this landscape, structu…
cs.LG2026★ 1 cited
Property-driven Protein Inverse Folding With Multi-Objective Preference Alignment
Xiaoyang Hou, Junqi Liu, Chence Shi +3
Protein sequence design must balance designability, defined as the ability to recover a target backbone, with multiple, often competing, developability properties such as solubilit…