Researchers across the world have worked hard to predict how proteins achieve their three-dimensional structure, which is a complicated research. It shows the prediction is not an easy problem to solve. Google’s Deepmind informs to have created an artificially intelligent program called “AlphaFold” that is able to solve those critical unsolved problems in a matter of days.
The latest version of DeepMind’s AlphaFold, a deep-learning system that is capable of accurately predicting the structure of proteins to within the width of an atom, has cracked one of biology’s grand challenges. According to John Moult, Professor at the University of Maryland, "It's the first use of AI to solve a serious problem". DeepMind in the experiment have used a new deep learning architecture for AlphaFold which interpret and compute the 'spatial graph' of 3D proteins, predicting the molecular structure underpinning their folded configuration.
If everything goes as per the plan, experts suggest the solution has come “decades” earlier than expected, potentially leading to revolutionary ways of treating the diseases. Google DeepMind worked on the AI project with 14th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP14), scientists investigating the matter since 1994.
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