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protein folding problem

  1. One of the main unsolved problems in molecular biology , the protein folding problem deals with the question of predicting the three-dimensional shape of a protein molecule from the sequence of amino acids that make up the protein molecules. The main difficulty arises from the large number of interactions between different atoms in a protein molecule, a number that lies outside of the ability of modern computers to handle. ( See also protein structure and proteomics .)


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DeepMind, a lab owned by the same parent company as Google, said on Monday that its system, called AlphaFold, had solved what is known as “the protein folding problem.”

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Their latest version provides a powerful, if imperfect, solution to the protein folding problem, said the DeepMind research scientist Kathryn Tunyasuvunakool.

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Venki Ramakrishnan, a structural biologist at the Medical Research Council Laboratory of Molecular Biology, calls the result “a stunning advance on the protein folding problem.”

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The protein folding problem asks a straightforward question: Can you predict the physical structure of a protein — its shape in three dimensions?

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Tackling a biological puzzle they call “the protein folding problem,” they try to predict the three-dimensional shape of proteins in the human body.

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