NovaAtom-Lite beats AlphaFold 3 on antibody-antigen structure prediction benchmark
xennygrimmato_ · x · 2026-11-11
Geodesic Lab introduces NovaAtom-Lite, an all-atom structure prediction model for drug discovery. It predicts structures of proteins, nucleic acids, and the molecules they bind, including how they fit together. On FoldBench antibody–antigen structure prediction (DockQ ≥ 0.23), NovaAtom-Lite reaches 79.07% (n=172), beating IsoDDE at 75.58% and AlphaFold 3 at 47.90% (n=167). Evaluation used 5 seeds × 5 samples with top-1 selected by the model's own ranking score. It is live via Geodesic API and NovaDDE.
Quanquan Gu comments on the retweet: 10 years is too long — some patients don't have 10 or even 4. He argues we should aim to compress a decade of drug discovery into 4 years, because the cost of moving slowly is measured in human suffering: in AI for drug discovery, speed is a moral imperative.
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