John M. Jumper

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John Jumper
John Jumper, 2024 Nobel Prize Laureate in Chemistry.jpg
Jumper at 2024 Nobel Ceremonies
Born
John Michael Jumper

1985 (age 3839) [1]
Education
Known for AlphaFold
Awards Nature's 10 (2021)
BBVA Foundation Frontiers of Knowledge Award (2022)
Breakthrough Prize in Life Sciences (2023)
Nobel Prize in Chemistry (2024)
Scientific career
Fields Artificial intelligence
Machine learning
Institutions Google
DeepMind
Thesis New methods using rigorous machine learning for coarse-grained protein folding and dynamics  (2017)
Doctoral advisor Tobin R Sosnick
Karl Freed

John Michael Jumper (born 1985) [1] is an American chemist and computer scientist. He currently serves as director at Google DeepMind. [2] [3] [4] Jumper and his colleagues created AlphaFold, [5] an artificial intelligence (AI) model to predict protein structures from their amino acid sequence with high accuracy. [6] Jumper stated that the AlphaFold team plans to release 100 million protein structures. [7]

Contents

The scientific journal Nature included Jumper as one of the ten "people who mattered" in science in their annual listing of Nature's 10 in 2021. [6] [8] Jumper and Demis Hassabis were awarded with the 2024 Nobel Prize in Chemistry for protein structure prediction. [9] [10]

Education

Jumper received a Bachelor of Science with majors in physics and mathematics from Vanderbilt University in 2007, [11] a Master of Philosophy in theoretical condensed matter physics from the University of Cambridge in 2010 on a Marshall Scholarship, [12] a Master of Science in theoretical chemistry from the University of Chicago in 2012, and a Doctor of Philosophy in theoretical chemistry from the University of Chicago in 2017. [13] His doctoral advisors at the University of Chicago were Tobin R. Sosnick and Karl Freed. [14]

Career

Jumper's research investigates algorithms for protein structure prediction. [2]

AlphaFold

This image represents the final product of AlphaFold and it compares its results with other competitors at the CASP competition. The performance of AlphaFold.png
This image represents the final product of AlphaFold and it compares its results with other competitors at the CASP competition.

AlphaFold [5] [15] is a deep learning algorithm developed by Jumper and his team at DeepMind, a research lab acquired by Google's parent company Alphabet Inc. It is an artificial intelligence program which performs predictions of protein structure. [16]

Awards and honors

In November 2020, AlphaFold was named the winner of the 14th Critical Assessment of Structure Prediction (CASP) competition. [17] [18] [19] This international competition benchmarks algorithms to determine which one can best predict the 3D structure of proteins. AlphaFold won the competition, outperforming other algorithms scoring above 90 for around two-thirds of the proteins in CASP's global distance test (GDT), a test that measures the degree to which a computational program predicted structure is similar to the lab experiment determined structure, with 100 being a complete match, within the distance cutoff used for calculating GDT. [20] [21]

In 2021, Jumper was awarded the BBVA Foundation Frontiers of Knowledge Award in the category "Biology and Biomedicine". [22] In 2022 Jumper received the Wiley Prize in Biomedical Sciences [23] and for 2023 the Breakthrough Prize in Life Sciences for developing AlphaFold, which accurately predicts the structure of a protein. [24] In 2023 he was awarded the Canada Gairdner International Award [25] and the Albert Lasker Award for Basic Medical Research. [26]

Jumper at 2024 Nobel Week press conference John Jumper, 2024 Nobel Prize Laureate in Chemistry 3 (cropped).jpg
Jumper at 2024 Nobel Week press conference

In 2024, Jumper and Demis Hassabis shared half of the Nobel Prize in Chemistry for their protein folding predictions, the other half went to David Baker for computational protein design. [9] [10]

Related Research Articles

<span class="mw-page-title-main">Structural biology</span> Study of molecular structures in biology

Structural biology, as defined by the Journal of Structural Biology, deals with structural analysis of living material at every level of organization.

<span class="mw-page-title-main">Protein structure prediction</span> Type of biological prediction

Protein structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence—that is, the prediction of its secondary and tertiary structure from primary structure. Structure prediction is different from the inverse problem of protein design.

<span class="mw-page-title-main">CASP</span> Protein structure prediction challenge

Critical Assessment of Structure Prediction (CASP), sometimes called Critical Assessment of Protein Structure Prediction, is a community-wide, worldwide experiment for protein structure prediction taking place every two years since 1994. CASP provides research groups with an opportunity to objectively test their structure prediction methods and delivers an independent assessment of the state of the art in protein structure modeling to the research community and software users. Even though the primary goal of CASP is to help advance the methods of identifying protein three-dimensional structure from its amino acid sequence many view the experiment more as a "world championship" in this field of science. More than 100 research groups from all over the world participate in CASP on a regular basis and it is not uncommon for entire groups to suspend their other research for months while they focus on getting their servers ready for the experiment and on performing the detailed predictions.

Levinthal's paradox is a thought experiment in the field of computational protein structure prediction; protein folding seeks a stable energy configuration. An algorithmic search through all possible conformations to identify the minimum energy configuration would take an immense duration; however in reality protein folding happens very quickly, even in the case of the most complex structures, suggesting that the transitions are somehow guided into a stable state through an uneven energy landscape.

<span class="mw-page-title-main">Roderick MacKinnon</span> American biophysicist, neuroscientist, and businessman (born 1956)

Roderick MacKinnon is an American biophysicist, neuroscientist, and businessman. He is a professor of molecular neurobiology and biophysics at Rockefeller University who won the Nobel Prize in Chemistry together with Peter Agre in 2003 for his work on the structure and operation of ion channels.

<span class="mw-page-title-main">Joseph L. Goldstein</span> American biochemist

Joseph Leonard Goldstein ForMemRS is an American biochemist. He received the Nobel Prize in Physiology or Medicine in 1985, along with fellow University of Texas Southwestern researcher, Michael Brown, for their studies regarding cholesterol. They discovered that human cells have low-density lipoprotein (LDL) receptors that remove cholesterol from the blood and that when LDL receptors are not present in sufficient numbers, individuals develop hypercholesterolemia and become at risk for cholesterol related diseases, notably coronary heart disease. Their studies led to the development of statin drugs.

<span class="mw-page-title-main">Alfred G. Gilman</span> American pharmacologist (1941–2015)

Alfred Goodman Gilman was an American pharmacologist and biochemist. He and Martin Rodbell shared the 1994 Nobel Prize in Physiology or Medicine "for their discovery of G-proteins and the role of these proteins in signal transduction in cells."

<span class="mw-page-title-main">Rosetta@home</span> BOINC based volunteer computing project researching protein folding

Rosetta@home is a volunteer computing project researching protein structure prediction on the Berkeley Open Infrastructure for Network Computing (BOINC) platform, run by the Baker lab. Rosetta@home aims to predict protein–protein docking and design new proteins with the help of about fifty-five thousand active volunteered computers processing at over 487,946 GigaFLOPS on average as of September 19, 2020. Foldit, a Rosetta@home videogame, aims to reach these goals with a crowdsourcing approach. Though much of the project is oriented toward basic research to improve the accuracy and robustness of proteomics methods, Rosetta@home also does applied research on malaria, Alzheimer's disease, and other pathologies.

<span class="mw-page-title-main">Demis Hassabis</span> British artificial intelligence researcher (born 1976)

Sir Demis Hassabis is a British artificial intelligence (AI) researcher, and entrepreneur. He is the chief executive officer and co-founder of Google DeepMind, and Isomorphic Labs, and a UK Government AI Adviser. In 2024, Hassabis and John M. Jumper were jointly awarded the Nobel Prize in Chemistry for their AI research contributions for protein structure prediction.

<span class="mw-page-title-main">Oliver Smithies</span> British-American geneticist (1925–2017)

Oliver Smithies was a British-American geneticist and physical biochemist. He is known for introducing starch as a medium for gel electrophoresis in 1955, and for the discovery, simultaneously with Mario Capecchi and Martin Evans, of the technique of homologous recombination of transgenic DNA with genomic DNA, a much more reliable method of altering animal genomes than previously used, and the technique behind gene targeting and knockout mice. He received the Nobel Prize in Physiology or Medicine in 2007 for his genetics work.

<span class="mw-page-title-main">Michael Levitt (biophysicist)</span> South African-born biophysicist (born 1947)

Michael Levitt, is a South African-born biophysicist and a professor of structural biology at Stanford University, a position he has held since 1987. Levitt received the 2013 Nobel Prize in Chemistry, together with Martin Karplus and Arieh Warshel, for "the development of multiscale models for complex chemical systems". In 2018, Levitt was a founding co-editor of the Annual Review of Biomedical Data Science.

<span class="mw-page-title-main">David Baker (biochemist)</span> American biochemist and computational biologist (born 1962)

David Baker is an American biochemist and computational biologist who has pioneered methods to design proteins and predict their three-dimensional structures. He is the Henrietta and Aubrey Davis Endowed Professor in Biochemistry, an investigator with the Howard Hughes Medical Institute, and an adjunct professor of genome sciences, bioengineering, chemical engineering, computer science, and physics at the University of Washington. He was awarded the shared 2024 Nobel Prize in Chemistry for his work on computational protein design.

<span class="mw-page-title-main">Arthur L. Horwich</span> American biologist (born 1951)

Arthur L. Horwich is an American biologist and Sterling Professor of Genetics and Pediatrics at the Yale School of Medicine. Horwich has also been a Howard Hughes Medical Institute investigator since 1990. His research into protein folding uncovered the action of chaperonins, protein complexes that assist the folding of other proteins; Horwich first published this work in 1989.

<span class="mw-page-title-main">Foldit</span> 2008 video game

Foldit is an online puzzle video game about protein folding. It is part of an experimental research project developed by the University of Washington, Center for Game Science, in collaboration with the UW Department of Biochemistry. The objective of Foldit is to fold the structures of selected proteins as perfectly as possible, using tools provided in the game. The highest scoring solutions are analyzed by researchers, who determine whether or not there is a native structural configuration that can be applied to relevant proteins in the real world. Scientists can then use these solutions to target and eradicate diseases and create biological innovations. A 2010 paper in the science journal Nature credited Foldit's 57,000 players with providing useful results that matched or outperformed algorithmically computed solutions.

<span class="mw-page-title-main">Victor Ambros</span> American developmental biologist (born 1953)

Victor R. Ambros is an American developmental biologist and Nobel Laureate who discovered the first known microRNA (miRNA). He is a professor at the University of Massachusetts Medical School. He completed both his undergraduate and doctoral studies at the Massachusetts Institute of Technology. Ambros received the Nobel Prize in Physiology or Medicine in 2024 for his research on microRNA.

DeepMind Technologies Limited, also known by its trade name Google DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Google. Founded in the UK in 2010, it was acquired by Google in 2014 and merged with Google AI's Google Brain division to become Google DeepMind in April 2023. The company is based in London, with research centres in Canada, France, Germany, and the United States.

Pushmeet Kohli is a computer and machine learning scientist at Google DeepMind where he holds the position of Vice President of research for the "Secure and Reliable AI" and "AI for Science and Sustainability". Before joining DeepMind, he was partner scientist and director of research at Microsoft Research and a post-doctoral fellow at the University of Cambridge. Kohli's research investigates applications of machine learning and computer vision. He has also made contributions in game theory, discrete algorithms and psychometrics.

<span class="mw-page-title-main">Gregg L. Semenza</span> American physician (born 1956)

Gregg Leonard Semenza is an American pediatrician and Professor of Genetic Medicine at the Johns Hopkins School of Medicine. He serves as the director of the vascular program at the Institute for Cell Engineering. He is a 2016 recipient of the Albert Lasker Award for Basic Medical Research. He is known for his discovery of HIF-1, which allows cancer cells to adapt to oxygen-poor environments. He shared the 2019 Nobel Prize in Physiology or Medicine for "discoveries of how cells sense and adapt to oxygen availability" with William Kaelin Jr. and Peter J. Ratcliffe. Semenza has had thirteen research papers retracted due to falsified data.

AlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. The program is designed as a deep learning system.

Isomorphic Labs Limited is a London-based company which uses artificial intelligence for drug discovery. Isomorphic Labs was founded by Demis Hassabis, who also serves as the CEO. The company was incorporated on February 24, 2021 and announced on November 4, 2021. It was established under Alphabet Inc. as a spin-off from its AI research lab DeepMind, of which Hassabis is also founder and CEO.

References

  1. 1 2 3 "John M. Jumper: Facts". The Nobel Prize. Nobel Prize Outreach AB. 2024. Retrieved October 9, 2024.
  2. 1 2 John M. Jumper publications indexed by Google Scholar OOjs UI icon edit-ltr-progressive.svg
  3. John M. Jumper publications from Europe PubMed Central
  4. Eisenstein, Michael (2021). "Artificial intelligence powers protein-folding predictions". Nature. 599 (7886). Springer Nature: 706–708. doi:10.1038/d41586-021-03499-y. S2CID   244528561 . Retrieved December 24, 2021.
  5. 1 2 John Jumper; Richard Evans; Alexander Pritzel; et al. (July 15, 2021). "Highly accurate protein structure prediction with AlphaFold". Nature . Bibcode:2021Natur.596..583J. doi:10.1038/S41586-021-03819-2. ISSN   1476-4687. PMC   8371605 . Wikidata   Q107555821.
  6. 1 2 Maxmen, Amy (2021). "Nature's 10: John Jumper: Protein predictor". Nature. 600 (7890). Springer Nature: 591–604. doi: 10.1038/d41586-021-03621-0 . PMID   34912110. S2CID   245256541.
  7. Browne, Grace (2021). "DeepMind's AI has finally shown how useful it can be". wired.com. Retrieved December 24, 2021.
  8. John M. Jumper on LinkedIn OOjs UI icon edit-ltr-progressive.svg
  9. 1 2 "The Nobel Prize in Chemistry 2024". Nobel Media AB. Retrieved October 9, 2024.
  10. 1 2 "Press release: The Nobel Prize in Chemistry 2024". NobelPrize.org. Retrieved October 9, 2024.
  11. Doster, Stephen. "John Jumper, developer of AlphaFold, to present an Apex Lecture on August 30". Vanderbilt University. Retrieved October 9, 2024.
  12. "University of Cambridge alumni awarded 2024 Nobel Prize in Chemistry | University of Cambridge". www.cam.ac.uk. October 9, 2024. Retrieved October 9, 2024.
  13. "UChicago alum John Jumper shares Nobel Prize for model to predict protein structures | University of Chicago News". news.uchicago.edu. October 9, 2024. Retrieved October 9, 2024.
  14. Jumper, John Michael (2017). New methods using rigorous machine learning for coarse-grained protein folding and dynamics. chicago.edu (PhD thesis). University of Chicago. doi:10.6082/M1BZ647N. OCLC   1237239279. ProQuest   1883866286.
  15. Andrew W Senior; Richard Evans; John Jumper; et al. (January 15, 2020). "Improved protein structure prediction using potentials from deep learning". Nature . 577 (7792): 706–710. doi:10.1038/S41586-019-1923-7. ISSN   1476-4687. PMID   31942072. Wikidata   Q92669549.
  16. "AlphaFold". Deepmind. Retrieved November 30, 2020.
  17. "AlphaFold: a solution to a 50-year-old grand challenge in biology". Deepmind. November 30, 2020. Retrieved November 30, 2020.
  18. Sample, Ian (December 2, 2018). "Google's DeepMind predicts 3D shapes of proteins". The Guardian. Retrieved November 30, 2020.
  19. Shead, Sam (November 30, 2020). "DeepMind solves 50-year-old 'grand challenge' with protein folding A.I." CNBC. Retrieved November 30, 2020.
  20. "DeepMind's protein-folding AI has solved a 50-year-old grand challenge of biology". MIT Technology Review. Retrieved November 30, 2020.
  21. Robert F. Service, 'The game has changed.' AI triumphs at solving protein structures, Science , November 30, 2020
  22. "BBVA Foundation Frontiers of Knowledge Award 2022". frontiersofknowledgeawards-fbbva.es.
  23. "Wiley Prize 2022". wiley.com.
  24. "Breakthrough Prizes 2023". breakthroughprize.org. Retrieved September 22, 2022.
  25. Foundation, The Gairdner (March 30, 2023). "2023 Canada Gairdner Award Winners Announced". The Gairdner Foundation. Retrieved October 9, 2024.
  26. Admin, Lasker. "AlphaFold—for predicting protein structures". Lasker Foundation. Retrieved October 9, 2024.