虽然AlphaFold-3具有划时代的意义，但此前谷歌并未完全开源给科学界使用。 11月12日，谷歌低调开源了蛋白质预测模型AlphaFold-3，供非商业用途使用。

11月12日，谷歌低调开源了蛋白质预测模型AlphaFold-3，供非商业用途使用。就在上个月，凭借这一研究，戴米斯·哈萨比斯（Demis Hassabis）和约翰·江珀 ...

Six months after Google DeepMind controversially withheld code from a paper describing the protein-structure prediction ... who leads the AlphaFold team at DeepMind and last month, along with ...

11月12日，谷歌开源了蛋白质预测模型——AlphaFold-3的模型代码和权重供学术用途，以帮助推动科学研究。 这一举动有望对全球科研领域产生重大影响。

DeepMind's AlphaFold and the AlphaFold Protein Structure Database have been major contributors. Initially trained for single protein chains, AlphaFold has since gone beyond this, showing high ...

在毫无预兆的情况下，谷歌 DeepMind 突然发布了其最新 AI 蛋白质预测工具 AlphaFold 3 的源代码和模型权重。这一决定让全球科研界为之振奋，也将加速 ...

The AI tool AlphaFold has been improved so that it can now predict the shape of very large and complex protein structures.

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery.

Last month, Demis Hassabis and John Jumper of Google DeepMind were jointly awarded the 2024 Nobel Prize in Chemistry for their development of AlphaFold 3. This AI model can more accurately predict ...