This morning, the co -founder and general director of Google Deepmind and ISOMORFIC Labs Sir Demis Hassabis and director of Google Deepmind, Dr. John Jumper, were a shared Nobel Prize in the field of chemistry 2024 from their acid sequences. David Baker was also accepted for his work on the design of computing proteins.
Before Alfafold, predicting the protein structure was a complex and time -consuming process.
Alphafold forecasts, made available freely through Alfafold protein structure databaseIt gave over 2 million scientists and researchers from 190 countries a powerful tool for making new discoveries. . Alphafold 2 Paper, published in 2021, remains one of the most cited publications of all time.
Alphafold's contribution to science has been widely praised, and among his recognition are 2023 Albert Lasker Basic Medical Research AwardThe 2023 a breakthrough in the field of natural sciencesThe 2023 Canada Gairdner International AwardThe 2024 Clarivate Citation Laureate Prize and 2024 Keio Medical Science Award.
Artificial intelligence (AI) has long been amazing potential to be used in scientific research, and Alphafold was proof of the concept. Because more and more scientists are adopting AI for use in everything, from building data, to simulation of experiments, design of medicines, complexity of modeling, discovering new solutions for preserved problems and based on existing knowledge, we will continue to see a fundamental scientific breakthrough in the coming years.
In a statement published after informing about the messages Demisabis said:
“Receiving the Nobel Prize is the honor of life. Thank you to the Royal Swedish Academy of Sciences, John Jumper and the Alphafold team, the wider teams of Deepmind and Google, and for all my colleagues from the past and the present, which I enabled this moment. I devoted my career to the promotion of AI because of the incomparable potential to improve the lives of billions. Alphafold. Critical work, from the design of the enzyme to the discovery of medicine.
After receiving the message that he won the Nobel Prize, John Jumper published the following statement:
“Thank you to the Royal Swedish Academy of Sciences for this extraordinary honor. We are so honored that we are recognized as providing a long promise of computing biology to help us understand the world of protein and inform the amazing work of experimental biologists. This is a key demonstration that AI will accelerate learning and ultimately help in understanding the disease and developing therapeutics. Amazing and this is amazing that their abadiza Izamada imasal iSSAD will be amazing.
Computing biology has long been a great promise to create practical insights that can be used in experiments in the real world. Alphafold provided this promise. Before us is the universe of new insights and scientific discoveries possible thanks to the use of artificial intelligence as a scientific tool. Thank you to my colleagues over the years, for enabling this moment of recognition, as well as many moments of discovery that comes to us. “
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