Stephen Ra
Publications by Year
Research Areas
Machine Learning in Bioinformatics, Protein Structure and Dynamics, RNA and protein synthesis mechanisms, Genomics and Phylogenetic Studies, Monoclonal and Polyclonal Antibodies Research
Most-Cited Works
- → OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization(2024)252 cited
- → EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation(2022)44 cited
- → Lab-in-the-loop therapeutic antibody design with deep learning(2025)21 cited
- → Function-guided protein design by deep manifold sampling(2021)20 cited
- → OpenProteinSet: Training data for structural biology at scale(2023)15 cited
- OpenProteinSet: Training data for structural biology at scale.(2023)
- → Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design(2024)2 cited