?? Have you heard the news? DeepMind just rolled out the most recent version of their protein structure prediction AI, AlphaFold3. Here are some facts about this brand-new software that can give you an overview of how you may be able to use it:?
Its architecture is similar to that of AlphaFold 2, with some modifications that allow it to perform even better than its predecessor.?
As a novel feature, it also utilizes a generative diffusional model. With these, “hallucinations”, i.e. the generation of plausible, but nonsensical results are possible, but the structure of AlphaFold 3 also contains elements aimed at eliminating this phenomenon.?
Besides being able to predict single protein structures, it can also be used to obtain predictions for the structures of RNA molecules, plus protein-protein, protein-nucleic acid and protein-ligand complexes. Further, it can model the effects of covalent modifications on these structures.?
?Of course, its performance exceeds both that of comparable methods, like docking toolkits, and its predecessor, AlphaFold 2.?
?? Bleeding edge methods like AlphaFold 3 allow us to predict both protein-protein and protein-drug interactions, which increases the amount of available data we can use with the Cytocast Simulated Cell.?
??We are very excited to see the progress of this technology, and seeing how it will improve the development speed of safe and effective novel drugs.?
#alphafold #machinelearning #structuralbioinformatics #proteinscience?
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