John M. Jumper – Wikipédia, a enciclopédia livre

John M. Jumper
	John M. JumperJohn M. Jumper 2024.
Nascimento	1985 (39 anos); Little Rock
Cidadania	Estados Unidos
Alma mater	Universidade de Chicago; Universidade de Cambridge; Universidade Vanderbilt;
Ocupação	computational biologist, pesquisador de inteligência artificial
Prêmios	Prêmio Nobel de Química (Demis Hassabis, David Baker, For protein structure prediction, 11 000 000 coroa sueca, Louis Brus, Moungi Bawendi, Alexei Ekimov, 2024, Fundação Nobel, 2024); Prêmio Albert Lasker de Pesquisa Médica Básica (Zhijian Chen, Demis Hassabis, For the invention of AlphaFold, a revolutionary technology for predicting the three-dimensional structure of proteins, Richard Hynes, Erkki Ruoslahti, Timothy A. Springer, 2023, Lasker Foundation); Breakthrough Prize in Life Sciences (Carl H. June, Michel Sadelain, Sabine Hadida, Paul Negulescu, Fredrick Van Goor, Thomas Gasser, Ellen Sidransky, Andrew Singleton, Demis Hassabis, Clifford Brangwynne, Anthony A. Hyman, Emmanuel JM Mignot, Masashi Yanagisawa, For developing a deep learning AI method that rapidly and accurately predicts the three-dimensional structure of proteins from their amino acid sequence, Jeffery W. Kelly, Katalin Karikó, Drew Weissman, Shankar Balasubramanian, David Klenerman, Pascal Mayer, 2023); Prêmio Internacional da Fundação Gairdner (Pascal Mayer, Shankar Balasubramanian, Michel Sadelain, David Klenerman, Zelig Eshhar, Demis Hassabis, Everett Peter Greenberg, Michel Robert Silverman, Bonnie Bassler, For developing AlphaFold, which has been heralded as an AI-based solution to the 50-year grand challenge of protein structure prediction and has culminated in the release of the most accurate and complete picture of the structure of the human proteome, with enormous potential to accelerate biological and medical research, Drew Weissman, Stuart Orkin, Katalin Karikó, Pieter Cullis, John Dick, 2023, Gairdner Foundation); Prêmios Fundação BBVA Fronteiras do Conhecimento (Franz-Ulrich Hartl, Arthur Horwich, Kazutoshi Mori, Peter Walter, Demis Hassabis, David Baker, Por sus contribuciones al uso de la inteligencia artificial para predecir con precisión la estructura tridimensional de las proteínas a partir de sus secuencias de aminoácidos primarios, Katalin Karikó, Robert Langer, Drew Weissman, 2023, Fundación BBVA); Clarivate Citation Laureates (Demis Hassabis, David Baker, Roberto Car, Michele Parrinello, Kazunari Dōmen, For contributions to the prediction and design of three-dimensional protein structures and functions, V. P. Torchilin, Stanislas Leibler, Shankar Balasubramanian, Michael Elowitz, Kazunori Kataoka, Karen L. Wooley, James Collins, David Klenerman, 2024, química, Clarivate Analytics); Prêmio Wiley de Ciências Biomédicas (Michael J. Welsh, Paul Negulescu, Fredrick Van Goor, Sabine Hadida, Demis Hassabis, David Baker, For procedures to predict highly accurate three-dimensional structures of protein molecules from their amino-acid sequences, Clifford Brangwynne, Anthony A. Hyman, Michael K. Rosen, 2022); VinFuture Prize (Jens Juul Holst, Joel Habener, Daniel J. Drucker, Svetlana Mojsov, Demis Hassabis, Omar M. Yaghi, 2022); Nature's 10 (Jane Rigby, Saleemul Huq, Svitana Krakovska, Dimie Ogoina, Lisa McCorkell, Diana Greene Foster, António Guterres, Muhammad Mohiuddin, Alondra Nelson, Winnie Byanyima, Friederike Otto, Zhang Rongqiao, Timnit Gebru, Tulio de Oliveira, Victoria Tauli-Corpuz, Guillaume Cabanac, Meaghan Kall, Janet Woodcock, Ten people who helped shape science in 2021, Tedros Adhanom, Verena Mohaupt, Gonzalo Moratorio, Adi Utarini, Kathrin Jansen, Zhang Yongzhen, Chanda Prescod-Weinstein, Li Lanjuan, Jacinda Ardern, Anthony Fauci, 2021, Nature);
Empregador(a)	DeepMind
Obras destacadas	AlphaFold
	[edite no Wikidata]

John Michael Jumper é um cientista e investigador estadunidense da DeepMind Technologies. Foi distinguido com o Nobel da Química de 2024.^[1]^[2] Jumper e seus colegas criaram a AlphaFold,^[3] um modelo de inteligência artificial para prever estruturas proteicas a partir de sua sequência de aminoácidos com alta precisão.^[4]

John Jumper foi laureado com o Prêmio Nobel de Química de 2024, juntamente com Demis Hassabis, "pela previsão da estrutura de proteínas".^[5]

Jumper afirmou que a equipe AlphaFold planeja liberar 100 milhões de estruturas de proteínas.^[6] A revista científica Nature incluiu Jumper como uma das dez "pessoas importantes" na ciência em sua lista anual em 2021.^[4]

Referências

↑ John M. Jumper publications from Europe PubMed Central
↑ Eisenstein, Michael (2021). «Artificial intelligence powers protein-folding predictions». Springer Nature. Nature. 599 (7886): 706–708. doi:10.1038/d41586-021-03499-y. Consultado em 24 de dezembro de 2021
↑ John Jumper; Richard Evans; Alexander Pritzel; et al. (15 de julho de 2021), «Highly accurate protein structure prediction with AlphaFold», Nature, ISSN 1476-4687 (em inglês), Bibcode:2021Natur.596..583J, PMC 8371605, doi:10.1038/S41586-021-03819-2, Wikidata Q107555821
↑ ^a ^b Maxmen, Amy (2021). «Nature's 10: John Jumper: Protein predictor». Springer Nature. Nature. 600 (7890): 591–604. PMID 34912110. doi:10.1038/d41586-021-03621-0
↑ «The Nobel Prize in Chemistry 2024». The Nobel Prize. 9 de outubro de 2024. Consultado em 9 de outubro de 2024
↑ Browne, Grace (2021). «DeepMind's AI has finally shown how useful it can be». wired.com. Consultado em 24 de dezembro de 2021

[epmc-1] John M. Jumper publications from Europe PubMed Central

[2] Eisenstein, Michael (2021). «Artificial intelligence powers protein-folding predictions». Springer Nature. Nature. 599 (7886): 706–708. doi:10.1038/d41586-021-03499-y. Consultado em 24 de dezembro de 2021

[afold-3] John Jumper; Richard Evans; Alexander Pritzel; et al. (15 de julho de 2021), «Highly accurate protein structure prediction with AlphaFold», Nature, ISSN 1476-4687 (em inglês), Bibcode:2021Natur.596..583J, PMC 8371605, doi:10.1038/S41586-021-03819-2, Wikidata Q107555821

[ten-4] Maxmen, Amy (2021). «Nature's 10: John Jumper: Protein predictor». Springer Nature. Nature. 600 (7890): 591–604. PMID 34912110. doi:10.1038/d41586-021-03621-0

[5] «The Nobel Prize in Chemistry 2024». The Nobel Prize. 9 de outubro de 2024. Consultado em 9 de outubro de 2024

[6] Browne, Grace (2021). «DeepMind's AI has finally shown how useful it can be». wired.com. Consultado em 24 de dezembro de 2021

[1]

[2]

[3]

[4]

[5]

[6]

v d e Nobel de Química (1901 — 2024)
1901 — 1925	1901: Hoff · 1902: E.Fischer · 1903: Arrhenius · 1904: Ramsay · 1905: Baeyer · 1906: Moissan · 1907: Buchner · 1908: Rutherford · 1909: Ostwald · 1910: Wallach · 1911: Curie · 1912: Grignard e Sabatier · 1913: Werner · 1914: Richards · 1915: Willstätter · 1918: Haber · 1920: Nernst · 1921: Soddy · 1922: Aston · 1923: Pregl · 1925: Zsigmondy
1926 — 1950	1926: Svedberg · 1927: Wieland · 1928: Windaus · 1929: Harden e Euler-Chelpin · 1930: H.Fischer · 1931: Bosch e Bergius · 1932: Langmuir · 1934: Urey · 1935: F.Joliot-Curie e I.Joliot-Curie · 1936: Debye · 1937: Haworth e Karrer · 1938: Kuhn · 1939: Butenandt e Ružička · 1943: Hevesy · 1944: Hahn · 1945: Virtanen · 1946: Sumner, Northrop e Stanley · 1947: Robinson · 1948: Tiselius · 1949: Giauque · 1950: Diels e Alder
1951 — 1975	1951: McMillan e Seaborg · 1952: Martin e Synge · 1953: Staudinger · 1954: Pauling · 1955: Vigneaud · 1956: Hinshelwood e Semyonov · 1957: Todd · 1958: Sanger · 1959: Heyrovský · 1960: Libby · 1961: Calvin · 1962: Perutz e Kendrew · 1963: Ziegler e Natta · 1964: Hodgkin · 1965: Woodward · 1966: Mulliken · 1967: Eigen, Norrish e Porter · 1968: Onsager · 1969: Barton e Hassel · 1970: Leloir · 1971: Herzberg · 1972: Anfinsen, Moore e Stein · 1973: E.O.Fischer e Wilkinson · 1974: Flory · 1975: Cornforth e Prelog
1976 — 2000	1976: Lipscomb · 1977: Prigogine · 1978: Mitchell · 1979: Brown e Wittig · 1980: Berg, Gilbert e Sanger · 1981: Fukui e Hoffmann · 1982: Klug · 1983: Taube · 1984: Merrifield · 1985: Hauptman e Karle · 1986: Herschbach, Lee e Polanyi · 1987: Cram, Lehn e Pedersen · 1988: Deisenhofer, Huber e Michel · 1989: Altman e Cech · 1990: Corey · 1991: Ernst · 1992: Marcus · 1993: Mullis e Michael Smith · 1994: Olah · 1995: Crutzen, Molina e Rowland · 1996: Curl, Kroto e Smalley · 1997: Boyer, Walker e Skou · 1998: Kohn e Pople · 1999: Zewail · 2000: Heeger, MacDiarmid e Shirakawa
2001 — 2024	2001: Knowles, Noyori e Sharpless · 2002: Fenn, Tanaka e Wüthrich · 2003: Agre e MacKinnon · 2004: Ciechanover, Hershko e Rose · 2005: Grubbs, Schrock e Chauvin · 2006: Kornberg · 2007: Ertl · 2008: Shimomura, Chalfie e Tsien · 2009: Ramakrishnan, Steitz e Yonath · 2010: Heck, Negishi e Suzuki · 2011: Shechtman · 2012: Lefkowitz e Kobilka · 2013: Karplus, Levitt e Warshel · 2014: Betzig, Hell e Moerner · 2015: Lindahl, Modrich e Sancar · 2016: Sauvage, Stoddart e Feringa · 2017: Dubochet, Frank e Henderson · 2018: Arnold, Smith e Winter · 2019: Goodenough, Whittingham e Yoshino · 2020: Charpentier e Doudna · 2021: MacMillan e List · 2022: Bertozzi, Meldal e Sharpless · 2023: Bawendi, Brus e Ekimov · 2024: Baker, Hassabis e Jumper Laureados (1901—1925) • Laureados (1926—1950) • Laureados (1951—1975) • Laureados (1976—2000) • Laureados (2001—2024)

John M. Jumper
John M. Jumper John M. Jumper 2024.
Nascimento	1985 (39 anos) Little Rock
Cidadania	Estados Unidos
Alma mater	Universidade de Chicago Universidade de Cambridge Universidade Vanderbilt
Ocupação	computational biologist, pesquisador de inteligência artificial
Prêmios	Prêmio Nobel de Química (Demis Hassabis, David Baker, For protein structure prediction, 11 000 000 coroa sueca, Louis Brus, Moungi Bawendi, Alexei Ekimov, 2024, Fundação Nobel, 2024) Prêmio Albert Lasker de Pesquisa Médica Básica (Zhijian Chen, Demis Hassabis, For the invention of AlphaFold, a revolutionary technology for predicting the three-dimensional structure of proteins, Richard Hynes, Erkki Ruoslahti, Timothy A. Springer, 2023, Lasker Foundation) Breakthrough Prize in Life Sciences (Carl H. June, Michel Sadelain, Sabine Hadida, Paul Negulescu, Fredrick Van Goor, Thomas Gasser, Ellen Sidransky, Andrew Singleton, Demis Hassabis, Clifford Brangwynne, Anthony A. Hyman, Emmanuel JM Mignot, Masashi Yanagisawa, For developing a deep learning AI method that rapidly and accurately predicts the three-dimensional structure of proteins from their amino acid sequence, Jeffery W. Kelly, Katalin Karikó, Drew Weissman, Shankar Balasubramanian, David Klenerman, Pascal Mayer, 2023) Prêmio Internacional da Fundação Gairdner (Pascal Mayer, Shankar Balasubramanian, Michel Sadelain, David Klenerman, Zelig Eshhar, Demis Hassabis, Everett Peter Greenberg, Michel Robert Silverman, Bonnie Bassler, For developing AlphaFold, which has been heralded as an AI-based solution to the 50-year grand challenge of protein structure prediction and has culminated in the release of the most accurate and complete picture of the structure of the human proteome, with enormous potential to accelerate biological and medical research, Drew Weissman, Stuart Orkin, Katalin Karikó, Pieter Cullis, John Dick, 2023, Gairdner Foundation) Prêmios Fundação BBVA Fronteiras do Conhecimento (Franz-Ulrich Hartl, Arthur Horwich, Kazutoshi Mori, Peter Walter, Demis Hassabis, David Baker, Por sus contribuciones al uso de la inteligencia artificial para predecir con precisión la estructura tridimensional de las proteínas a partir de sus secuencias de aminoácidos primarios, Katalin Karikó, Robert Langer, Drew Weissman, 2023, Fundación BBVA) Clarivate Citation Laureates (Demis Hassabis, David Baker, Roberto Car, Michele Parrinello, Kazunari Dōmen, For contributions to the prediction and design of three-dimensional protein structures and functions, V. P. Torchilin, Stanislas Leibler, Shankar Balasubramanian, Michael Elowitz, Kazunori Kataoka, Karen L. Wooley, James Collins, David Klenerman, 2024, química, Clarivate Analytics) Prêmio Wiley de Ciências Biomédicas (Michael J. Welsh, Paul Negulescu, Fredrick Van Goor, Sabine Hadida, Demis Hassabis, David Baker, For procedures to predict highly accurate three-dimensional structures of protein molecules from their amino-acid sequences, Clifford Brangwynne, Anthony A. Hyman, Michael K. Rosen, 2022) VinFuture Prize (Jens Juul Holst, Joel Habener, Daniel J. Drucker, Svetlana Mojsov, Demis Hassabis, Omar M. Yaghi, 2022) Nature's 10 (Jane Rigby, Saleemul Huq, Svitana Krakovska, Dimie Ogoina, Lisa McCorkell, Diana Greene Foster, António Guterres, Muhammad Mohiuddin, Alondra Nelson, Winnie Byanyima, Friederike Otto, Zhang Rongqiao, Timnit Gebru, Tulio de Oliveira, Victoria Tauli-Corpuz, Guillaume Cabanac, Meaghan Kall, Janet Woodcock, Ten people who helped shape science in 2021, Tedros Adhanom, Verena Mohaupt, Gonzalo Moratorio, Adi Utarini, Kathrin Jansen, Zhang Yongzhen, Chanda Prescod-Weinstein, Li Lanjuan, Jacinda Ardern, Anthony Fauci, 2021, Nature)
Empregador(a)	DeepMind
Obras destacadas	AlphaFold
[edite no Wikidata]