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John M. Jumper

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This is an old revision of this page, as edited by KormiSK (talk | contribs) at 18:34, 9 October 2024 (protein folding is not the same thing as protein structures, do not make that mistake). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

For other people named John Jumper, see John Jumper (disambiguation).
John Jumper
Jumper in 2024
Born
John Michael Jumper

1985[1]
Little Rock, Arkansas, USA[1]
Alma mater
Known forAlphaFold
AwardsNature's 10 (2021)
BBVA Foundation Frontiers of Knowledge Award (2022)
Breakthrough Prize in Life Sciences (2023)
Nobel Prize in Chemistry (2024)
Scientific career
FieldsArtificial intelligence
Machine learning
InstitutionsGoogle
DeepMind
ThesisNew methods using rigorous machine learning for coarse-grained protein folding and dynamics (2017)
Doctoral advisorTobin R Sosnick
Karl Freed

John Michael Jumper (born 1985)[1] is an American chemist and computer scientist. He currently serves as director at DeepMind Technologies.[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]

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 half of the 2024 Nobel Prize in Chemistry for their predictions of protein structures.[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 2008,[12] 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.

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 honours

In November 2020, AlphaFold was named the winner of the Critical Assessment of Structure Prediction (CASP) competition. This international competition benchmarks algorithms to determine which one can best predict the 3D structure of proteins. AlphaFold won the competition, out performing other algorithms and making it the first machine learning algorithm to be able to accurately predict the 3D structure of proteins.

In 2021, Jumper was awarded the BBVA Foundation Frontiers of Knowledge Award in the category "Biology and Biomedicine".[17] In 2022 Jumper received the Wiley Prize in Biomedical Sciences[18] and for 2023 the Breakthrough Prize in Life Sciences for developing AlphaFold, which accurately predicts the structure of a protein.[19] In 2023 he was awarded the Canada Gairdner International Award[20] and the Albert Lasker Award for Basic Medical Research.[21]

In 2024, Jumper together with David Baker and Demis Hassabis were awarded the Nobel Prize in Chemistry.[9][10]

References

  1. ^ a b c "John M. Jumper: Facts". The Nobel Prize. Nobel Prize Outreach AB. 2024. Retrieved 9 October 2024.
  2. ^ a b John M. Jumper publications indexed by Google Scholar Edit this at Wikidata
  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 24 December 2021.
  5. ^ a b John Jumper; Richard Evans; Alexander Pritzel; et al. (15 July 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. ^ a b 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 24 December 2021.
  8. ^ John M. Jumper on LinkedIn Edit this at Wikidata
  9. ^ a b "The Nobel Prize in Chemistry 2024". Nobel Media AB. Retrieved 9 October 2024.
  10. ^ a b "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 2024-10-09.
  12. ^ "University of Cambridge alumni awarded 2024 Nobel Prize in Chemistry | University of Cambridge". www.cam.ac.uk. 2024-10-09. Retrieved 2024-10-09.
  13. ^ "UChicago alum John Jumper shares Nobel Prize for model to predict protein structures | University of Chicago News". news.uchicago.edu. 2024-10-09. Retrieved 2024-10-09.
  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. (15 January 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 30 November 2020.
  17. ^ "BBVA Foundation Frontiers of Knowledge Award 2022". frontiersofknowledgeawards-fbbva.es.
  18. ^ "Wiley Prize 2022". wiley.com.
  19. ^ "Breakthrough Prizes 2023". breakthroughprize.org. Retrieved 22 September 2022.
  20. ^ Foundation, The Gairdner (2023-03-30). "2023 Canada Gairdner Award Winners Announced". The Gairdner Foundation. Retrieved 2024-10-09.
  21. ^ Admin, Lasker. "AlphaFold—for predicting protein structures". Lasker Foundation. Retrieved 2024-10-09.
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