Geodesic's NovaAtom-Lite beats AlphaFold 3 (79.07% vs 47.90%) on antibody-antigen folding
QuanquanGu · x · 2026-11-11
Geodesiclab launched NovaAtom-Lite, an all-atom structure prediction model for drug discovery that predicts structures of proteins, nucleic acids, and their bound molecules.
Benchmarks (FoldBench antibody–antigen prediction, DockQ ≥ 0.23, 5 seeds × 5 samples, top-1 by model's own ranking score):
- NovaAtom-Lite: 79.07% (n=172)
- IsoDDE (Isomorphic Labs): 75.58%
- AlphaFold 3 (Google DeepMind): 47.90% (n=167)
Co-founder Quanquan Gu notes the model was built by a small team with only a few hundred GPUs in months. The bigger story is AI for Science: compressing months of exploration into weeks and changing the economics of discovery. Live today via Geodesic API and NovaDDE.
Related event: Geodesic releases NovaAtom-Lite, beating AlphaFold 3 on benchmarks(2 posts)→
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