Proteins are the end products of the decoding process that starts with the information in cellular DNA. As workhorses of the cell, proteins compose structural and motor elements in the cell, and they ...
At a biennial challenge where participants must blindly predict the structure of 100 proteins based on their amino acid sequences, a system developed by DeepMind captured researchers’ attention when ...
Proteins are important molecules—but they aren’t the only molecules in a cell, and they don’t operate alone. In a new preprint, the team behind the protein structure prediction software RoseTTAFold ...
And it’s giving the data away for free, which could spur new scientific discoveries. DeepMind says its AlphaFold tool has successfully predicted the structure of nearly all proteins known to science.
It is now relatively trivial to determine the order of amino acids in a protein. Figuring out how that order translates to a complicated three-dimensional structure that performs a specific function, ...
Proteins, we hear you loud and clear. A group of researchers from Massachusetts Institute of Technology (MIT) devised an artificial-intelligence (AI)-based approach to translate each of the 20 amino ...
It took decades of painstaking research to map the structure of just 17 per cent of the proteins used within the human body, but less than a year for UK-based AI company DeepMind to raise that figure ...
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Lisa Eshun-Wilson receives funding from the National Science Foundation. Alba Torrents de la Peña receives funding from Netherlands Organization for Scientific Research (NWO) Rubicon Grant 45219118.
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