The 2024 Nobel prize in chemistry has been awarded to three scientists for their work on describing and predicting proteins with the help of computers. One half of the prize goes to David Baker from the University of Washington in the US “for computational protein design”, with the other half jointly awarded to Demis Hassabis and John M. Jumper, both from Google Deepmind, UK, “for protein structure prediction”.
Using computers to carry out protein design and for predicting protein structures are two sides of the same coin. They are separately very powerful – and combined, even more so.
Proteins are the building blocks of life, building and powering our muscles and organs. Proteins are molecular machines: they read and copy our DNA to make new cells, and pump ions (electrically charged atoms or groups of atoms) into and out of our cells, so these always have what they need to work properly. Proteins act as sensors, detecting what’s in their environment. They also activate our immune systems.
