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John M. Jumper

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454: 431: 274: 1679: 305:(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 674: 878: 1151: 329: 1749: 313: 98: 302: 871: 699:
Andrew W Senior; Richard Evans; John Jumper; et al. (15 January 2020). "Improved protein structure prediction using potentials from deep learning".
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with high accuracy. Jumper has stated that the AlphaFold team plans to release 100 million protein structures. The scientific journal
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This image represents the final product of AlphaFold and it compares its results with other competitors at the CASP competition.
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for developing AlphaFold, which accurately predicts the structure of a protein. In 2023 he was awarded the
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algorithm developed by Jumper and his team at DeepMind, a research lab acquired by Google's parent company
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included Jumper as one of the ten "people who mattered" in science in their annual listing of
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New methods using rigorous machine learning for coarse-grained protein folding and dynamics
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New methods using rigorous machine learning for coarse-grained protein folding and dynamics
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in the category "Biology and Biomedicine". In 2022 Jumper received the
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in 2017 for research on using machine learning to simulate
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and dynamics, being co-supervised by Tobin R Sosnick and
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In November 2020, AlphaFold was named the winner of the
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Albert Lasker Award for Basic Medical Research 2023
778:"BBVA Foundation Frontiers of Knowledge Award 2022" 158: 140: 126: 112: 84: 74: 45: 35: 28: 187:Technologies. Jumper and his colleagues created 330:Albert Lasker Award for Basic Medical Research 261:Jumper's research investigates algorithms for 1714: 872: 601:"Nature's 10: John Jumper: Protein predictor" 8: 314:BBVA Foundation Frontiers of Knowledge Award 183:is an American senior research scientist at 99:BBVA Foundation Frontiers of Knowledge Award 303:Critical Assessment of Structure Prediction 1721: 1707: 879: 865: 857: 452: 429: 418: 416: 25: 1264:The Event Horizon Telescope Collaboration 616: 572: 838:Canada Gairdner International Award 2023 320:in Biomedical Sciences and for 2023 the 19:For other people named John Jumper, see 525: 523: 341: 249:degree in Physics and Mathematics from 397: 395: 594: 592: 364:(PhD thesis). University of Chicago. 349: 347: 345: 237:. Jumper also studied physics at the 7: 1675: 1673: 441: 439: 1750:Artificial intelligence researchers 782:frontiersofknowledgeawards-fbbva.es 326:Canada Gairdner International Award 322:Breakthrough Prize in Life Sciences 89:Breakthrough Prize in Life Sciences 611:(7890). Springer Nature: 591–604. 493:(7886). Springer Nature: 706–708. 14: 1677: 291:predictions of protein structure 312:In 2021 Jumper was awarded the 1: 1770:Artificial intelligence stubs 354:Jumper, John Michael (2017). 1693:. You can help Knowledge by 1172:Sudbury Neutrino Observatory 481:Eisenstein, Michael (2021). 263:protein structure prediction 21:John Jumper (disambiguation) 1096:Supernova Cosmology Project 221:Jumper was educated at the 1786: 1672: 814:"Breakthrough Prizes 2023" 618:10.1038/d41586-021-03621-0 557:10.1038/S41586-021-03819-2 499:10.1038/d41586-021-03499-y 18: 715:10.1038/S41586-019-1923-7 403:"John Jumper at DeepMind" 174: 105: 1760:Applied machine learning 1745:Computational biologists 448:publications indexed by 1687:artificial intelligence 1590:Shankar Balasubramanian 1326:Alexander Zamolodchikov 1258:Peter van Nieuwenhuizen 239:University of Cambridge 225:where he was awarded a 193:artificial intelligence 117:Artificial intelligence 59:University of Cambridge 16:Computational biologist 1689:-related article is a 1604:Clifford P. Brangwynne 1437:Emmanuelle Charpentier 648:Browne, Grace (2021). 278: 241:, where he was on the 195:(AI) model to predict 1108:High-Z Supernova Team 818:breakthroughprize.org 470:Europe PubMed Central 307:structure of proteins 276: 251:Vanderbilt University 223:University of Chicago 65:University of Chicago 53:Vanderbilt University 1547:Virginia Man-Yee Lee 1411:Alexander Varshavsky 1230:Jocelyn Bell Burnell 1128:and contributors to 599:Maxmen, Amy (2021). 243:Marshall Scholarship 1531:Jeffrey M. Friedman 1421:Charles David Allis 1106:and members of the 1094:and members of the 549:2021Natur.596..583J 257:Career and research 247:Bachelor of Science 201:amino acid sequence 181:John Michael Jumper 40:John Michael Jumper 1624:Masashi Yanagisawa 1535:Franz-Ulrich Hartl 1465:Stephen J. Elledge 1417:Alim Louis Benabid 1304:Charles H. Bennett 1254:Daniel Z. Freedman 1204:Charles L. Bennett 1168:Arthur B. McDonald 1156:Kōichirō Nishikawa 1086:John Henry Schwarz 1076:Alexander Polyakov 1054:Michel Della Negra 973:Daniel A. Spielman 888:Breakthrough Prize 796:"Wiley Prize 2022" 468:publications from 297:Awards and honours 279: 197:protein structures 1702: 1701: 1667: 1666: 1646:Fredrick Van Goor 1539:Arthur L. Horwich 1513:Adrian R. Krainer 1407:Richard P. Lifton 1365:Napoleone Ferrara 1345:Cornelia Bargmann 1194:Andrew Strominger 1190:Joseph Polchinski 1000:Nima Arkani-Hamed 949:Vincent Lafforgue 939:Christopher Hacon 709:(7792): 706–710. 407:falling-walls.com 178: 177: 107:Scientific career 1777: 1723: 1716: 1709: 1681: 1674: 1658:Andrew Singleton 1608:Anthony A. Hyman 1578:Jeffery W. Kelly 1573: 1565:Richard J. Youle 1509:C. Frank Bennett 1503:Don W. Cleveland 1477:Yoshinori Ohsumi 1403:Robert S. Langer 1391:James P. Allison 1353:Lewis C. Cantley 1294:Hidetoshi Katori 1274:Jens H. Gundlach 1184:Super-Kamiokande 1066:Joseph Incandela 1050:Fabiola Gianotti 1012:Maxim Kontsevich 967:Takuro Mochizuki 909:Maxim Kontsevich 881: 874: 867: 858: 851: 846: 840: 835: 829: 828: 826: 824: 810: 804: 803: 792: 786: 785: 774: 768: 767: 765: 763: 749: 743: 742: 696: 690: 689: 687: 685: 671: 665: 664: 662: 660: 645: 639: 638: 620: 596: 587: 586: 576: 527: 518: 517: 515: 513: 478: 472: 463: 457: 456: 443: 434: 433: 420: 411: 410: 399: 390: 389: 370:10.6082/M1BZ647N 351: 160:Doctoral advisor 154: 121:Machine learning 26: 1785: 1784: 1780: 1779: 1778: 1776: 1775: 1774: 1765:Protein folding 1730: 1729: 1728: 1727: 1670: 1668: 1663: 1654:Ellen Sidransky 1634:Michel Sadelain 1620:Emmanuel Mignot 1594:David Klenerman 1567: 1557:Catherine Dulac 1469:Harry F. Noller 1447:Karl Deisseroth 1433:Jennifer Doudna 1399:Michael N. Hall 1385:Bert Vogelstein 1381:Shinya Yamanaka 1377:Robert Weinberg 1373:Charles Sawyers 1331: 1308:Gilles Brassard 1288:Steven Weinberg 1270:Eric Adelberger 1180:Yōichirō Suzuki 1092:Saul Perlmutter 1058:Tejinder Virdee 1042:Stephen Hawking 991: 984: 905:Simon Donaldson 891: 885: 855: 854: 847: 843: 836: 832: 822: 820: 812: 811: 807: 794: 793: 789: 776: 775: 771: 761: 759: 751: 750: 746: 698: 697: 693: 683: 681: 673: 672: 668: 658: 656: 647: 646: 642: 598: 597: 590: 529: 528: 521: 511: 509: 480: 479: 475: 464: 460: 444: 437: 421: 414: 401: 400: 393: 353: 352: 343: 338: 299: 281:AlphaFold is a 271: 259: 231:protein folding 219: 167: 165:Tobin R Sosnick 152: 133: 119: 97: 92: 70: 46:Alma mater 41: 31: 24: 17: 12: 11: 5: 1783: 1781: 1773: 1772: 1767: 1762: 1757: 1752: 1747: 1742: 1732: 1731: 1726: 1725: 1718: 1711: 1703: 1700: 1699: 1682: 1665: 1664: 1662: 1661: 1642:Paul Negulescu 1627: 1612:Demis Hassabis 1601: 1582:Katalin Karikó 1575: 1550: 1528: 1521:Xiaowei Zhuang 1506: 1495:Kazutoshi Mori 1484: 1462: 1440: 1414: 1388: 1361:Titia de Lange 1349:David Botstein 1341: 1339: 1333: 1332: 1330: 1329: 1319: 1301: 1291: 1281: 1267: 1261: 1250:Sergio Ferrara 1243: 1233: 1223: 1216:Lyman Page Jr. 1212:Norman Jarosik 1201: 1187: 1176:Takaaki Kajita 1133: 1132:project (2016) 1111: 1089: 1079: 1073: 1035: 1024:Nathan Seiberg 1020:Juan Maldacena 996: 994: 986: 985: 983: 982: 976: 970: 964: 958: 952: 946: 943:James McKernan 936: 930: 924: 921:Richard Taylor 901: 899: 893: 892: 886: 884: 883: 876: 869: 861: 853: 852: 841: 830: 805: 787: 769: 744: 691: 679:vanderbilt.edu 666: 640: 588: 519: 473: 466:John M. Jumper 458: 450:Google Scholar 446:John M. Jumper 435: 423:John M. Jumper 412: 391: 340: 339: 337: 334: 298: 295: 270: 267: 258: 255: 245:, and holds a 218: 215: 176: 175: 172: 171: 162: 156: 155: 144: 138: 137: 128: 124: 123: 114: 110: 109: 103: 102: 86: 82: 81: 76: 75:Known for 72: 71: 69: 68: 62: 56: 49: 47: 43: 42: 39: 37: 33: 32: 29: 15: 13: 10: 9: 6: 4: 3: 2: 1782: 1771: 1768: 1766: 1763: 1761: 1758: 1756: 1753: 1751: 1748: 1746: 1743: 1741: 1740:Living people 1738: 1737: 1735: 1724: 1719: 1717: 1712: 1710: 1705: 1704: 1698: 1696: 1692: 1688: 1683: 1680: 1676: 1671: 1659: 1655: 1651: 1650:Thomas Gasser 1647: 1643: 1639: 1638:Sabine Hadida 1635: 1631: 1628: 1625: 1621: 1617: 1613: 1609: 1605: 1602: 1599: 1595: 1591: 1587: 1586:Drew Weissman 1583: 1579: 1576: 1571: 1566: 1562: 1558: 1554: 1551: 1548: 1544: 1540: 1536: 1532: 1529: 1526: 1522: 1518: 1517:Angelika Amon 1514: 1510: 1507: 1504: 1500: 1496: 1492: 1488: 1485: 1482: 1478: 1474: 1473:Roeland Nusse 1470: 1466: 1463: 1460: 1456: 1452: 1448: 1444: 1443:Edward Boyden 1441: 1438: 1434: 1430: 1426: 1425:Victor Ambros 1422: 1418: 1415: 1412: 1408: 1404: 1400: 1396: 1395:Mahlon DeLong 1392: 1389: 1386: 1382: 1378: 1374: 1370: 1366: 1362: 1358: 1354: 1350: 1346: 1343: 1342: 1340: 1338: 1337:Life sciences 1334: 1327: 1323: 1320: 1317: 1316:Peter W. Shor 1313: 1312:David Deutsch 1309: 1305: 1302: 1299: 1295: 1292: 1289: 1285: 1282: 1279: 1278:Blayne Heckel 1275: 1271: 1268: 1265: 1262: 1259: 1255: 1251: 1247: 1244: 1241: 1237: 1234: 1231: 1227: 1224: 1221: 1220:David Spergel 1217: 1213: 1209: 1205: 1202: 1199: 1195: 1191: 1188: 1185: 1181: 1177: 1173: 1169: 1165: 1161: 1157: 1153: 1149: 1148:Atsuto Suzuki 1145: 1144:Daya Bay team 1141: 1137: 1134: 1131: 1127: 1123: 1119: 1118:Ronald Drever 1115: 1112: 1109: 1105: 1101: 1100:Brian Schmidt 1097: 1093: 1090: 1087: 1083: 1082:Michael Green 1080: 1077: 1074: 1071: 1067: 1063: 1062:Guido Tonelli 1059: 1055: 1051: 1047: 1043: 1039: 1036: 1033: 1032:Edward Witten 1029: 1025: 1021: 1017: 1013: 1009: 1008:Alexei Kitaev 1005: 1001: 998: 997: 995: 993: 987: 980: 979:Simon Brendle 977: 974: 971: 968: 965: 962: 961:Martin Hairer 959: 956: 953: 950: 947: 944: 940: 937: 934: 933:Jean Bourgain 931: 928: 925: 922: 918: 914: 910: 906: 903: 902: 900: 898: 894: 889: 882: 877: 875: 870: 868: 863: 862: 859: 850: 845: 842: 839: 834: 831: 819: 815: 809: 806: 801: 797: 791: 788: 783: 779: 773: 770: 758: 754: 748: 745: 740: 736: 732: 728: 724: 720: 716: 712: 708: 704: 703: 695: 692: 680: 676: 670: 667: 655: 651: 644: 641: 636: 632: 628: 624: 619: 614: 610: 606: 602: 595: 593: 589: 584: 580: 575: 570: 566: 562: 558: 554: 550: 546: 542: 541: 536: 532: 526: 524: 520: 508: 504: 500: 496: 492: 488: 484: 477: 474: 471: 467: 462: 459: 455: 451: 447: 442: 440: 436: 432: 428: 424: 419: 417: 413: 408: 404: 398: 396: 392: 387: 383: 379: 375: 371: 367: 363: 359: 358: 350: 348: 346: 342: 335: 333: 331: 327: 323: 319: 315: 310: 308: 304: 296: 294: 292: 288: 284: 283:deep learning 275: 268: 266: 264: 256: 254: 252: 248: 244: 240: 236: 232: 228: 224: 216: 214: 212: 208: 207: 202: 198: 194: 190: 186: 182: 173: 170: 166: 163: 161: 157: 150: 149: 145: 143: 139: 136: 132: 129: 125: 122: 118: 115: 111: 108: 104: 100: 95: 90: 87: 83: 80: 77: 73: 66: 63: 60: 57: 54: 51: 50: 48: 44: 38: 34: 27: 22: 1695:expanding it 1684: 1669: 1615: 1598:Pascal Mayer 1543:David Julius 1525:Zhijian Chen 1491:Peter Walter 1487:Joanne Chory 1459:Svante Pääbo 1357:Hans Clevers 1283: 1245: 1236:Charles Kane 1225: 1208:Gary Hinshaw 1126:Rainer Weiss 1113: 1072:(LHC) (2013) 1037: 1016:Andrei Linde 844: 833: 823:22 September 821:. 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Retrieved 490: 486: 476: 461: 406: 361: 356: 311: 300: 287:Alphabet Inc 280: 260: 220: 204: 180: 179: 146: 127:Institutions 106: 1616:John Jumper 1568: [ 1553:David Baker 1499:Kim Nasmyth 1481:Huda Zoghbi 1455:Helen Hobbs 1429:Gary Ruvkun 1369:Eric Lander 1240:Eugene Mele 1198:Cumrun Vafa 1186:team (2016) 1140:Kam-Biu Luk 1136:Yifang Wang 1046:Peter Jenni 990:Fundamental 917:Terence Tao 913:Jacob Lurie 897:Mathematics 762:30 November 753:"AlphaFold" 659:24 December 531:John Jumper 512:24 December 362:chicago.edu 318:Wiley Prize 211:Nature's 10 199:from their 94:Nature's 10 30:John Jumper 1755:Proteomics 1734:Categories 1451:John Hardy 1322:John Cardy 1122:Kip Thorne 1104:Adam Riess 1068:(CMS) and 1028:Ashoke Sen 955:Alex Eskin 583:Q107555821 386:1883866286 378:1237239279 336:References 235:Karl Freed 169:Karl Freed 1630:Carl June 1561:Dennis Lo 1070:Lyn Evans 1052:(ATLAS), 1004:Alan Guth 890:laureates 800:wiley.com 739:Q92669549 723:1476-4687 654:wired.com 635:245256541 565:1476-4687 507:244528561 269:AlphaFold 217:Education 213:in 2021. 189:AlphaFold 79:AlphaFold 1182:and the 1170:and the 1158:and the 1150:and the 1142:and the 927:Ian Agol 757:Deepmind 735:Wikidata 731:31942072 627:34912110 579:Wikidata 427:LinkedIn 382:ProQuest 328:and the 185:DeepMind 135:DeepMind 1284:Special 1246:Special 1226:Special 1152:KamLAND 1114:Special 1038:Special 992:physics 574:8371605 545:Bibcode 61:(MPhil) 1660:(2024) 1626:(2023) 1600:(2022) 1574:(2021) 1549:(2020) 1527:(2019) 1505:(2018) 1483:(2017) 1461:(2016) 1439:(2015) 1413:(2014) 1387:(2013) 1328:(2024) 1318:(2023) 1300:(2022) 1298:Jun Ye 1290:(2021) 1280:(2021) 1266:(2020) 1260:(2019) 1242:(2019) 1232:(2018) 1222:(2018) 1200:(2017) 1174:team, 1166:team, 1154:team, 1110:(2015) 1088:(2014) 1078:(2013) 1034:(2012) 981:(2024) 975:(2023) 969:(2022) 963:(2021) 957:(2020) 951:(2019) 945:(2018) 935:(2017) 929:(2016) 923:(2015) 737:  729:  721:  702:Nature 633:  625:  605:Nature 581:  571:  563:  540:Nature 505:  487:Nature 384:  376:  206:Nature 153:(2017) 151:  142:Thesis 131:Google 113:Fields 101:(2022) 96:(2021) 91:(2023) 85:Awards 1685:This 1572:] 631:S2CID 503:S2CID 191:, an 67:(PhD) 55:(BSc) 1691:stub 1656:and 1596:and 1511:and 1457:and 1435:and 1409:and 1383:and 1324:and 1296:and 1276:and 1238:and 1178:and 1130:LIGO 1084:and 919:and 825:2022 764:2020 727:PMID 719:ISSN 686:2023 661:2021 623:PMID 561:ISSN 514:2021 374:OCLC 36:Born 1164:T2K 1160:K2K 711:doi 707:577 613:doi 609:600 569:PMC 553:doi 495:doi 491:599 425:on 366:doi 227:PhD 1736:: 1652:, 1648:, 1644:, 1640:, 1636:, 1632:, 1622:, 1618:, 1614:, 1610:, 1606:, 1592:, 1588:, 1584:, 1580:, 1570:de 1563:, 1559:, 1555:, 1545:, 1541:, 1537:, 1533:, 1523:, 1519:, 1515:, 1501:, 1497:, 1493:, 1489:, 1479:, 1475:, 1471:, 1467:, 1453:, 1449:, 1445:, 1431:, 1427:, 1423:, 1419:, 1405:, 1401:, 1397:, 1393:, 1379:, 1375:, 1371:, 1367:, 1363:, 1359:, 1355:, 1351:, 1347:, 1314:, 1310:, 1306:, 1286:: 1272:, 1256:, 1252:, 1248:: 1228:: 1218:, 1214:, 1210:, 1206:, 1196:, 1192:, 1162:/ 1146:, 1138:, 1124:, 1120:, 1116:: 1102:, 1098:; 1064:, 1060:, 1056:, 1048:, 1044:, 1040:: 1030:, 1026:, 1022:, 1018:, 1014:, 1010:, 1006:, 1002:, 941:, 915:, 911:, 907:, 816:. 798:. 780:. 755:. 733:. 725:. 717:. 705:. 677:. 652:. 629:. 621:. 607:. 603:. 591:^ 577:. 567:. 559:. 551:. 543:. 537:. 522:^ 501:. 489:. 485:. 438:^ 415:^ 405:. 394:^ 380:. 372:. 360:. 344:^ 332:. 309:. 293:. 265:. 253:. 1722:e 1715:t 1708:v 1697:. 880:e 873:t 866:v 827:. 802:. 784:. 766:. 741:. 713:: 688:. 663:. 637:. 615:: 585:. 555:: 547:: 516:. 497:: 409:. 388:. 368:: 23:.

Index

John Jumper (disambiguation)
Vanderbilt University
University of Cambridge
University of Chicago
AlphaFold
Breakthrough Prize in Life Sciences
Nature's 10
BBVA Foundation Frontiers of Knowledge Award
Artificial intelligence
Machine learning
Google
DeepMind
Thesis
New methods using rigorous machine learning for coarse-grained protein folding and dynamics
Doctoral advisor
Tobin R Sosnick
Karl Freed
DeepMind
AlphaFold
artificial intelligence
protein structures
amino acid sequence
Nature
Nature's 10
University of Chicago
PhD
protein folding
Karl Freed
University of Cambridge
Marshall Scholarship

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