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Founder / General Partner @ Good AI Capital; Distinguished Alumni @ Purdue; Guest Lecturer, Advisory Council for Healthcare Initiative @ Chicago Booth
The impact of AI cannot be ignored. Yesterday, Geoffrey Hinton and John Hopfield were awarded the Nobel Prize for Physics for their pioneering work in neural networks. Today, the Nobel Prize for Chemistry was awarded to Demis Hassabis and John Jumper—both from Google/DeepMind—for AlphaFold ( an AI model for protein structure prediction ) and David Baker for computational protein design. This is a monumental achievement for AI, computational biology, and science. Congrats to Demis Hassabis, John Jumper, and David Baker for the recognition To learn more about #AlphaFold, check out Good AI Capital blog posts 👇 👇 https://bit.ly/3YhD97l https://bit.ly/4eYnCPn https://bit.ly/3XNxP9W Charles Wang Daniel Kwan, MD, MBA Utkan Demirci Roger Pedersen Dave Ricks Leslie Bottorff Jed Kay John Pavletic Alok Prasad MD MBA Dave Ricks Tracy Fong Stuart Blair Ryan Batenchuk Lai Chong AU Dev Ashish Abhishek Pakhira Lucy Flesch Petros Drineas Milind Kulkarni Helen Heseri Dan Adelman Matthew Notowidigdo Trevor Tam Albert Pang Catherine Wong, Chief Development Officer Natalie Chan Or Priel Karyn Priel Fei-Fei Li Andrew Ng Mark Kotter Carolina Garcia Rizo, PhD, MBA University of Chicago Stephanie Ling Mladen Kolar Gorana Kolar T. Chen Fong
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 Nobel Prize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.” The Nobel Prize in Chemistry 2024 is about proteins, life’s ingenious chemical tools. David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins. Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. These discoveries hold enormous potential. The diversity of life testifies to proteins’ amazing capacity as chemical tools. They control and drive all the chemical reactions that together are the basis of life. Proteins also function as hormones, signal substances, antibodies and the building blocks of different tissues. Proteins generally consist of 20 different amino acids, which can be described as life’s building blocks. In 2003, David Baker succeeded in using these blocks to design a new protein that was unlike any other protein. Since then, his research group has produced one imaginative protein creation after another, including proteins that can be used as pharmaceuticals, vaccines, nanomaterials and tiny sensors. The second discovery concerns the prediction of protein structures. In proteins, amino acids are linked together in long strings that fold up to make a three-dimensional structure, which is decisive for the protein’s function. Since the 1970s, researchers had tried to predict protein structures from amino acid sequences, but this was notoriously difficult. However, four years ago, there was a stunning breakthrough. In 2020, Demis Hassabis and John Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic. Life could not exist without proteins. That we can now predict protein structures and design our own proteins confers the greatest benefit to humankind. Learn more Press release: https://bit.ly/3TM8oVs Popular information: https://bit.ly/3XYHZGp Advanced information: https://bit.ly/4ewMBta