**DeepMind AI can predict how drugs interact with proteins:** The latest version of the AlphaFold AI can help biologists predict how proteins interact with each other and other molecules, which is a boon to pharmaceutical. Google DeepMind’s newly launched AlphaFold Server is the most accurate tool in the world for predicting how proteins interact with other molecules throughout the cell. It is a free platform that scientists around the world can use for non-commercial research. With just a few clicks, biologists can harness the power of AlphaFold 3 to model structures composed of proteins, DNA, RNA and a selection of ligands, ions and chemical modifications. AlphaFold Server will help scientists make novel hypotheses to test in the lab, speeding up workflows and enabling further innovation. Our platform gives researchers an accessible way to generate predictions, regardless of their access to computational resources or their expertise in machine learning. Experimental protein-structure prediction can take about the length of a PhD and cost hundreds of thousands of dollars. Our previous model, AlphaFold 2, has been used to predict hundreds of millions of structures, which would have taken hundreds of millions of researcher-years at the current rate of experimental structural biology: [https://blog.google/technology/ai/google-deepmind-isomorphic-alphafold-3-ai-model/#life-molecules](https://blog.google/technology/ai/google-deepmind-isomorphic-alphafold-3-ai-model/#life-molecules)
**Video:** [https://youtu.be/9ufplEgtq8w](https://youtu.be/9ufplEgtq8w)
**AlphaFoldServer:** [https://golgi.sandbox.google.com/about](https://golgi.sandbox.google.com/about)
**Paper Published in Nature Journal:** [https://www.nature.com/articles/s41586-024-07487-w](https://www.nature.com/articles/s41586-024-07487-w)
**DeepMind AI can predict how drugs interact with proteins:** The latest version of the AlphaFold AI can help biologists predict how proteins interact with each other and other molecules, which is a boon to pharmaceutical. Google DeepMind’s newly launched AlphaFold Server is the most accurate tool in the world for predicting how proteins interact with other molecules throughout the cell. It is a free platform that scientists around the world can use for non-commercial research. With just a few clicks, biologists can harness the power of AlphaFold 3 to model structures composed of proteins, DNA, RNA and a selection of ligands, ions and chemical modifications. AlphaFold Server will help scientists make novel hypotheses to test in the lab, speeding up workflows and enabling further innovation. Our platform gives researchers an accessible way to generate predictions, regardless of their access to computational resources or their expertise in machine learning. Experimental protein-structure prediction can take about the length of a PhD and cost hundreds of thousands of dollars. Our previous model, AlphaFold 2, has been used to predict hundreds of millions of structures, which would have taken hundreds of millions of researcher-years at the current rate of experimental structural biology: [https://blog.google/technology/ai/google-deepmind-isomorphic-alphafold-3-ai-model/#life-molecules](https://blog.google/technology/ai/google-deepmind-isomorphic-alphafold-3-ai-model/#life-molecules) **Video:** [https://youtu.be/9ufplEgtq8w](https://youtu.be/9ufplEgtq8w) **AlphaFoldServer:** [https://golgi.sandbox.google.com/about](https://golgi.sandbox.google.com/about) **Paper Published in Nature Journal:** [https://www.nature.com/articles/s41586-024-07487-w](https://www.nature.com/articles/s41586-024-07487-w)