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'It will change everything': DeepMind's AI makes gigantic leap in solving protein structures

#artificialintelligence

A protein's function is determined by its 3D shape.Credit: DeepMind An artificial intelligence (AI) network developed by Google AI offshoot DeepMind has made a gargantuan leap in solving one of biology's grandest challenges -- determining a protein's 3D shape from its amino-acid sequence. DeepMind's program, called AlphaFold, outperformed around 100 other teams in a biennial protein-structure prediction challenge called CASP, short for Critical Assessment of Structure Prediction. The results were announced on 30 November, at the start of the conference -- held virtually this year -- that takes stock of the exercise. "This is a big deal," says John Moult, a computational biologist at the University of Maryland in College Park, who co-founded CASP in 1994 to improve computational methods for accurately predicting protein structures. "In some sense the problem is solved."


'It will change everything': DeepMind's AI makes gigantic leap in solving protein structures

Nature

A protein's function is determined by its 3D shape.Credit: DeepMind An artificial intelligence (AI) network developed by Google AI offshoot DeepMind has made a gargantuan leap in solving one of biology's grandest challenges -- determining a protein's 3D shape from its amino-acid sequence. DeepMind's program, called AlphaFold, outperformed around 100 other teams in a biennial protein-structure prediction challenge called CASP, short for Critical Assessment of Structure Prediction. The results were announced on 30 November, at the start of the conference -- held virtually this year -- that takes stock of the exercise. "This is a big deal," says John Moult, a computational biologist at the University of Maryland in College Park, who co-founded CASP in 1994 to improve computational methods for accurately predicting protein structures. "In some sense the problem is solved."


AlphaFold Is The Most Important Achievement In AI--Ever

#artificialintelligence

DeepMind's AlphaFold represents the first time a significant scientific problem has been solved by ... [ ] AI. It can be difficult to distinguish between substance and hype in the field of artificial intelligence. In order to stay grounded, it is important to step back from time to time and ask a simple question: what has AI actually accomplished or enabled that makes a difference in the real world? This summer, DeepMind delivered the strongest answer yet to that question in the decades-long history of AI research: AlphaFold, a software platform that will revolutionize our understanding of biology. In 1972, in his acceptance speech for the Nobel Prize in Chemistry, Christian Anfinsen made a historic prediction: it should in principle be possible to determine a protein's three-dimensional shape based solely on the one-dimensional string of molecules that comprise it. Finding a solution to this puzzle, known as the "protein folding problem," has stood as a grand challenge in the field of biology for half a century.


DeepMind's AI biologist can decipher secrets of the machinery of life

New Scientist

An AI system developed by UK-based company DeepMind has achieved the long-sought-after goal of accurately predicting the shape of proteins from their sequence alone, a key part of understanding how the machinery of life works. In a competition, AlphaFold was able to match two-thirds of the results achieved by humans doing expensive and time-consuming lab experiments. "I was really wowed when I saw it," says John Moult at the University of Maryland, one of the competition's organisers. "This is the first time we've come close to approaching experimental usefulness, which is pretty extraordinary." Proteins are vital for life.


DeepMind AI breakthrough in protein folding will accelerate medical discoveries

ZDNet

An illustration of the possible structure of a "membrane protein" associated with the coronavirus, according to a model created by DeepMind's AlphaFold program. DeepMind, a division of Alphabet, says it has solved one of the most difficult computing challenges in the world: predicting how protein molecules will fold. It is key to understanding important biological processes and treating diseases such as COVID-19. The London-based organization said that its claims of a breakthrough had been verified by organizers of a competition held every two years to test computer models, the Critical Assessment of protein Structure Prediction (CASP). Healthline cuts through the confusion with straightforward, expert-reviewed, person-first experiences -- all designed to help you make the best decisions. DeepMind named its protein folding prediction system AlphaFold and said that the latest version has been four years in development.