What is DeepMind protein folding?
DeepMind says it will release the structure of every protein known to science. The company has already used its protein-folding AI, AlphaFold, to generate structures for the human proteome, as well as yeast, fruit flies, mice, and more.
Why is AlphaFold important?
AlphaFold is a scientific achievement of the first order. It represents the first time that AI has significantly advanced the frontiers of humanity’s scientific knowledge. Credible industry observers have speculated that it might one day win the researchers at DeepMind a Nobel Prize.
What is protein folding AI?
From Wikipedia, the free encyclopedia. AlphaFold is an artificial intelligence (AI) program developed by Alphabets’s/Google’s DeepMind which performs predictions of protein structure. The program is designed as a deep learning system.
What does it take to work at DeepMind?
“Their recruiting is still separate from rest of Google,” said Lai, adding that DeepMind hires research scientists, research engineers, and pure software engineers. “If you want to join as a research scientist, you’ll need a PhD and probably a few years of machine learning research experience,” said Lai.
When did Google acquire DeepMind?
2014
Google, meanwhile, bought DeepMind in 2014 and bankrolls its large losses, and it really, really wants to squeeze some money out of all those juicy brains.
Why is protein folding important in biology?
2.2 Protein Folding This is a vital cellular process because proteins must be correctly folded into specific, three-dimensional shapes in order to function correctly. Unfolded or misfolded proteins contribute to the pathology of many diseases.
What is DeepMind’s protein-folding AI and how does it work?
The company has already used its protein-folding AI, AlphaFold, to generate structures for the human proteome, as well as yeast, fruit flies, mice, and more. Back in December 2020, DeepMind took the world of biology by surprise when it solved a 50-year grand challenge with AlphaFold, an AI tool that predicts the structure of proteins.
Can AI predict the structure of proteins to within the atom?
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.
Could DeepMind’s breakthrough help us understand disease better?
The breakthrough could allow biologists from around the world to understand diseases better and develop new drugs. So far the trove consists of 350,000 newly predicted protein structures. DeepMind says it will predict and release the structures for more than 100 million more in the next few months—more or less all proteins known to science.
What is DeepMind’s AlphaFold?
DeepMind Back in December 2020, DeepMind took the world of biology by surprise when it solved a 50-year grand challenge with AlphaFold, an AI tool that predicts the structure of proteins. Last week the London-based company published full details of that tool and released its source code.