Rice University

Viral protein annotation model predicting ten residue-level classes from sequence alone: topology, glycosylation, cleavage sites and disorder.

Nucleic acid inverse-folding network that designs RNA sequences for a target 3D backbone and predicts protein-DNA binding specificity.

Single-cell foundation model for Drosophila that generates hierarchical cell-type annotations on new scRNA-seq datasets without any fine-tuning.

ECG foundation model that learns 12-lead waveform representations by contrastively aligning each recording with machine-generated cardiological text.