Since it was unveiled in 2020, Google DeepMind’s game-changing AI tool has helped researchers all over the world to predict ...
Protein molecules can have complicated structures that dictate their functions. Christoph Burgstedt/Science Photo Library via Getty Images Although the Nobel Prizes in physics and chemistry are ...
In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from building ...
5don MSN
Stick–slip nanopore approach streamlines protein analysis by using electrical 'fingerprints'
A technology developed in the laboratory of Prof. Amit Meller from the Technion—Israel Institute of Technology Faculty of ...
Scientists discovered a role played by ribosomes during the folding of new proteins in cells. Scientists at UCL have discovered a novel role played by ribosomes during the folding of new proteins in ...
In the fight against diseases like Alzheimer’s and Parkinson’s, scientists have long struggled to predict how certain proteins misfold. These misfolded proteins, known as amyloids, clump together in ...
The prize honors innovation at Google DeepMind and in academia. Three researchers share the award for using machine learning to predict proteins’ 3D shapes and design the molecules from scratch. The ...
Protein hydrophobicity is a fundamental driver of protein folding dynamics, underpinning the formation of a central hydrophobic core that stabilises the three-dimensional structure amid an aqueous ...
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