Baoquan Su

CryoCodex improves cryo-EM map quality by jointly enhancing density, estimating local quality, and masking molecules, outperforming existing methods on experimental maps.

IDPFunNet predicts IDR functions using a hybrid deep learning model, outperforming existing methods in binding prediction and DFL identification across multiple benchmarks.

PathDiffusion models protein folding pathways using evolution-guided diffusion, accurately reconstructing folding events and demonstrating versatility across multiple applications.

CryFold improves de novo model building for cryo-EM maps using local attention and 3D rotary position embedding, producing more complete models and reducing resolution requirements.