AlphaFold 3 can predict the interactions of a wide variety of molecules, helping discover new
Google DeepMind's AlphaFold AI model, which has already revolutionized scientists' understanding of proteins, has expanded its capabilities in a new version released Wednesday.The new AlphaFold 3 can predict what interactions between nearly all of the molecules that form the basis of life look like — and that could open roads to new drugs or more
For example, when a protein on the surface of a cell binds to another protein on a virus, the molecules change shape, setting off a process that fuses the virus and the cell so the virus can invade. The details of those interactions could help to develop precise vaccines or antiviral drugs.
The reported accuracy ranges from 40% to 80%, depending on the interaction AlphaFold 3 is trying to model, and the program provides a measure of how confident it is in its result.we're doing, we wouldn't consider them solved," Jumper says. "We're still at an accuracy we'd like to improve." DeepMind also launched a server for researchers to access AlphaFold 3, but it has some restrictions about what can be modeled, particularly for drug candidate molecules., or flexible parts of a protein that can take on many shapes, the model will produce a plausible looking structure but one that couldn't exist —a biological form of the hallucinations that plague other AI models.
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InnovationRx: Deepmind Unveils Its New Protein-Folding AI Model AlphaFold 3I'm a senior writer at Forbes covering healthcare technology, and I also write the InnovationRX newsletter. I was previously a healthcare reporter for POLITICO covering the European Union from Brussels and the New Jersey Statehouse from Trenton. I was a 2019-2020 Knight-Bagehot Fellow in business and economics reporting at Columbia University.
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