Highly accurate protein structure prediction with AlphaFold | Nature
2021年7月15日 · AlphaFold predicts protein structures with an accuracy competitive with experimental structures in the majority of cases using a novel deep learning architecture.
Accurate structure prediction of biomolecular interactions with AlphaFold 3
2024年5月8日 · Here we describe our AlphaFold 3 model with a substantially updated diffusion-based architecture that is capable of predicting the joint structure of complexes including proteins, nucleic acids,...
AI protein-prediction tool AlphaFold3 is now more open - Nature
2024年11月11日 · AlphaFold3, unlike its predecessors, is capable of modelling proteins in concert with other molecules. But instead of releasing its underlying code — as was done with AlphaFold2 — DeepMind...
Highly accurate protein structure prediction with AlphaFold
Underpinning the latest version of AlphaFold is a novel machine learning approach that incorporates physical and biological knowledge about protein structure, leveraging multi-sequence alignments, into the design of the deep learning algorithm.
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tools. A week later, DeepMind announced that it had used AlphaFold to predict the structure of nearly every protein made by humans, as well as the entire ‘proteomes’ of 20 other widely stud-ied...
AlphaFold: a solution to a 50-year-old grand challenge in biology
2020年11月30日 · In a major scientific advance, the latest version of our AI system AlphaFold has been recognised as a solution to this grand challenge by the organisers of the biennial Critical Assessment of protein Structure Prediction (CASP).
Highly accurate protein structure prediction for the human …
We introduce several metrics developed by building on the AlphaFold model and use them to interpret the dataset, identifying strong multi-domain predictions as well as regions that are likely to be disordered.
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Here we describe our AlphaFold 3 model with a substantially updated diffusion-based architecture that is capable of predicting the joint structure of complexes including proteins, nucleic acids, small molecules, ions and modified residues.
Putting the power of AlphaFold into the world’s hands
2021年7月22日 · AlphaFold: Using AI for scientific discovery. In our study published in Nature, we demonstrate how artificial intelligence research can drive and accelerate new scientific discoveries. We’ve built a dedicated, interdisciplinary team in hopes...
The AlphaFold Database of Protein Structures: A Biologist’s Guide
AlphaFold, released the three-dimensional models (3D) of the human proteome. Accurately and poorly modelled regions may be present within a single AlphaFold model. The advantages, limitations and unsolved challenges of AlphaFold models are discussed.
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