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#machine learning Preprint Oct 2026

Designing Protein Structures from Natural Language

A central challenge in de novo protein design is generating proteins with desired structural and functional properties. Existing design models typically require a dedicated input representation for each property, limiting the design objectives they support. We develop Prompteina, the first all-atom structure generation...

Joseph Lee, Yan-Jing Li, Bo Qiang et al. · 1 citation
#artificial intelligence Preprint Oct 2026

CODesign: Consistency from Data to Trajectory in All-Atom Protein Binder Co-Design

The central challenge in de novo protein design is generating plausible, mutually compatible structures and sequences, such that each designed sequence folds into its intended structure and the structure accommodates that sequence. Compared to typical two-stage design methods, which decouple the modeling of the interde...

Yuan-Le Mo, Bo Qiang, Hai-Tao Lin et al. · 0 citations

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