AlphaFold 3
AlphaFold 3是由谷歌DeepMind开发的生物分子结构预测模型，是AlphaFold系列的第三代版本。该模型在前代基础上扩展了预测范围，不仅能预测蛋白质的三维结构，还能对DNA、RNA、小分子配体及蛋白质复合物等多种生物分子的结构与相互作用进行建模。AlphaFold 3采用扩散模型等深度学习技术，为药物研发、疾病机制研究及生命科学探索提供重要的计算支撑工具。
Core Facts
Timeline (last 90 days)
In February 2026, Isomorphic Labs released the Drug Design Engine (IsoDDE), and a technical report states that its performance on protein-ligand structure prediction is twice that of AlphaFold 3, its binding affinity prediction accuracy is higher than physics-based methods, and its time and cost are far lower than the latter.
AlphaFold3 extends to structure prediction of protein–nucleic acid–small molecule complexes.
Xunming Biosciences open-sourced a biological structure modeling model called OpenDDE in July and claimed it outperforms AlphaFold 3 on certain antigen-antibody benchmarks.
All Facts (4)
AlphaFold3, launched in 2024, further extended predictions to DNA, RNA, and small molecules.
75%VerifiedAlphaFold3 extends to structure prediction of protein–nucleic acid–small molecule complexes.
65%UnverifiedXunming Biosciences open-sourced a biological structure modeling model called OpenDDE in July and claimed it outperforms AlphaFold 3 on certain antigen-antibody benchmarks.
50%UnverifiedIn February 2026, Isomorphic Labs released the Drug Design Engine (IsoDDE), and a technical report states that its performance on protein-ligand structure prediction is twice that of AlphaFold 3, its binding affinity prediction accuracy is higher than physics-based methods, and its time and cost are far lower than the latter.
50%