AlphaFold夺诺奖引争议！2016年，一位博士生在NeurIPS提出的研究，或许正是AlphaFold的「原型」。如今，导师Daniel Cremers发声，质问为何DeepMind忽略这项研究、不加以引用？ 但2016年，Vladimir Golkov博士在NeurIPS大会上就提出，利用深度神经网络从共进化数据中直接预测蛋白质接触图。

The AI tool AlphaFold has been improved so that it can now predict the shape of very large and complex protein structures. Linköping University researchers have also succeeded in integrating ...

Los Angeles, CA – September 8, 2025 - Researchers have harnessed the power of artificial intelligence to tackle one of the most complex challenges in immunology: predicting how T cells recognize and ...

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research project that changed biology and chemistry forever. To understand what the ...

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 the ...

Proteins are the microscopic workhorses of the human body, driving everything from oxygen transport to muscle contraction. Their complex 3D structures dictate their function, and understanding these ...

The Alphafold machine learning system for predicting a protein’s structure from its amino acid sequence has been adapted to make it possible to design de novo proteins that fold in a particular way ...

Researchers have harnessed the power of artificial intelligence to tackle one of the most complex challenges in immunology: predicting how T cells recognize and respond to specific peptide antigens.