IEEE Congratulates Nobel Prize Winners in Chemistry

IEEE congratulates David Baker at the University of Washington and Demis Hassabis and John M. Jumper of Google Deepmind on winning the 2024 Nobel Prize for Chemistry. The prize was awarded jointly to the scientists for foundational discoveries and inventions in computational protein design and protein structure prediction.

According to the announcement from the Nobel Foundation, David Baker has “succeeded with the almost impossible feat of building entirely new kinds of proteins” and Demis Hassabis and John Jumper have “developed an AI model to solve a 50-year-old problem in predicting proteins’ complex structures.” These discoveries hold enormous potential with new proteins that can be used as pharmaceuticals, vaccines, and tiny sensors as well as new protein predictions that can enable researchers to better understand antibiotic resistance.

Following is a sampling of some of laureate David Baker's published works related to these achievements that can be found in the IEEE Xplore Digital Library. All of the following articles listed below are available free to access for a limited period of time.

“Parallelization and performance characterization of protein 3D structure prediction of Rosetta”
Proceedings 20th IEEE International Parallel & Distributed Processing Symposium, Rhodes Island, Greece, 2006
https://ieeexplore.ieee.org/document/1639296

“Quality Assessment of Low Free-Energy Protein Structure Predictions”
IEEE Workshop on Machine Learning for Signal Processing, Mystic, CT, USA, 2005
https://ieeexplore.ieee.org/document/1532932

“Development of a paper-based diagnostic for influenza detection”
2014 IEEE Healthcare Innovation Conference (HIC), Seattle, WA, USA, 2014
https://ieeexplore.ieee.org/document/7038933

In addition, there are many more articles related to the topics of computational protein design, protein structure prediction and related technologies in the IEEE Xplore Digital Library.