Qinghua Wang

OPUS-DSD2: Disentangling Dynamics and Compositional Heterogeneity for Cryo-EM/ET

OPUS-DSD2 disentangles structural heterogeneity in cryo-EM and cryo-ET data by separating rigid-body dynamics from other variations, improving analysis of macromolecular structures.

OPUS-BFactor: Predicting protein B-factor with sequence and structure information

OPUS-BFactor predicts normalized protein B-factors using sequence or structural information, outperforming existing methods on benchmark datasets.

OPUS-TOMO: Towards Resolving Dynamics and Compositional Heterogeneities of Biomolecules with Cryo-Electron Tomography

OPUS-TOMO improves resolution and resolves structural heterogeneity in cryo-ET data for biomolecules like ATP synthase and ribosomes.

OPUS-Rota5: A Highly Accurate Protein Side-chain Modeling Method with 3D-Unet and RotaFormer

OPUS-Rota5 improves protein side-chain modeling accuracy, enhancing molecular docking success rates for GPCR targets.

OPUS-Rota4: A Gradient-Based Protein Side-Chain Modeling Framework Assisted by Deep Learning-Based Predictors

OPUS-Rota4 improves protein side-chain modeling by integrating deep learning predictors and constraints, achieving better accuracy than Alphafold2 on CASP14.