University of Electronic Science and Technology of China

Infers gene-centered chromatin interactions from bulk RNA-seq alone, mapping 3D genome changes across 12,347 tumor and normal transcriptomes.

DNA-binding residue prediction across folded domains and disordered protein regions, with contrastive training that suppresses cross-predictions.

Genomic foundation model on a Mamba, attention, and mixture-of-experts backbone, with 1M-token context for variant scoring and regulatory DNA design.

Deep learning framework that predicts DNA methylation from genomic sequence across 39 human tissues, with an scRNA-seq variant for unseen cell types.

Protein-ligand binding model that embeds ligands, pockets, and sequences in hyperbolic space, unifying virtual screening and affinity ranking.

Gram-negative bacterial effector prediction refining frozen ESM-1b embeddings with a mixture of convolutional experts and a transformer.

Single-cell multi-omics foundation model whose three-stage pretraining and distillation yield RNA-and-ATAC-aware embeddings from RNA-only input.

Peptide toxicity prediction that fuses frozen ProtT5 residue embeddings with ESMFold-predicted structure in an E(3)-equivariant graph neural network.

Structure-based virtual screening model that scores ligands against apo and predicted pockets, lifting blind-apo EF1% on DUD-E from 11.75 to 37.19.

Sequence-only peptide toxicity prediction, pairing a fine-tuned ESM-2 backbone with a bidirectional LSTM and focal loss for rare toxic peptides.

Medical vision-language model that unifies image comprehension and generation in one autoregressive transformer via heterogeneous LoRA adapters.

Self-supervised foundation model for 3D medical image segmentation, pretrained on roughly 110,000 unannotated CT volumes via Volume Fusion.