A paper titled "Functional implications of unusual NOS and SONOS covalent linkages found in proteins," by Matthew D. Lloyd, ...

AlphaFold predicted a mishmash of the protein’s two shapes when working with two different partners. That Frankenstein structure, which doesn’t exist in actual organisms, could mislead ...

“Protein structure prediction with AlphaFold2 caused ... discipline but require a broad perspective and the combination of different insights. AI is here an accelerator and a support for the ...

For over 50 years, researchers have been trying to both predict and design different protein structures to gain a deeper understanding of the body's mechanisms, various diseases, and to develop ...

By 2022, AlphaFold had been used to predict the structure of almost all ... because the proteins in nature do so many different things. They mediate all the processes in our bodies and in all ...

Thanks to different arrangements in the chains of ... on understanding how a series of amino acids leads to certain protein structures in the first place. A quest that started in the 70s was ...

Their AI program – the AlphaFold Protein Structure Database – has been ... So it’s made leaps possible in very, very many different areas,” Wedell, who uses the tool in her own work ...