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- Comprehensive benchmarking of protein-ligand structure prediction methods. (ICML 2024 AI4Science)
- A geometry-complete diffusion generative model (GCDM) for 3D molecule generation and optimization. (Nature CommsChem)
- A geometry-complete SE(3)-equivariant perceptron network (GCPNet) for 3D graphs. (Bioinformatics)
- A geometric flow matching model for generative protein-ligand docking and affinity prediction. (ISMB 2025)
- Comprehensive ensembling of protein-ligand structure and affinity prediction methods (CASP16)
DiffDock
PublicScHiCEDRN
PublicCryoVirusDB
PublicMULTICOM3
PublicThe software system of improving AlphaFold2- and AlphaFold-Multimer-based protein tertiary & quaternary structure prediction. It was developed by the Bioinformatics and Machine Learning Lab at the University of Missouri. It was blindly tested in CASP15 and ranked among the best server predictors in 2022. It improves AlphaFold's accuracy by 5-10%.