Contents
How good is AlphaFold?
Atomic precision. Using this measure, DeepMind found that AlphaFold predicted shapes for 36% of human proteins with an accuracy that is correct down to the level of individual atoms. This is good enough for drug development, says Hassabis.
What will AlphaFold enable?
AlphaFold can accurately predict 3D models of protein structures and has the potential to accelerate research in every field of biology.
- Building blocks of life.
- The protein folding problem.
- What is AlphaFold?
- Joining a global research community.
- Accelerating scientific discovery.
- Looking to the future.
Is DeepMind owned by Google?
DeepMind was acquired by Google in 2014 for around $600 million. Today, the company relies on a steady stream of capital from parent firm Alphabet.
Which is the latest version of DeepMind AlphaFold?
The latest version of DeepMind’s AlphaFold, a deep-learning system that can accurately predict the structure of proteins to within the width of an atom, has cracked one of biology’s grand challenges. “It’s the first use of AI to solve a serious problem,” says John Moult at the University of Maryland, who leads the team that runs CASP.
When does DeepMind’s AI for protein structure come out?
15 July 2021 DeepMind’s AI for protein structure is coming to the masses Machine-learning systems from the company and from a rival academic group are now open-source and freely accessible.
How many proteins did DeepMind train AlphaFold on?
DeepMind trained AlphaFold on around 170,000 proteins taken from the protein data bank, a public repository of sequences and structures. It compared multiple sequences in the data bank and looked for pairs of amino acids that often end up close together in folded structures.
Is there an AI that can predict protein folding?
Today DeepMind and the organizers of the long-running Critical Assessment of protein Structure Prediction (CASP) competition announced an AI that should have the huge impact that Hassabis has been after.