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Ross D. King

January 01, 1970

For other people with the same name, see Ross King.

Ross Donald King is a Professor of Machine Intelligence[5] at Chalmers University of Technology.[6]

Ross King
Prof. Ross King, Chalmers University of Technology, Oct. 2019
Born
Ross Donald King
Alma mater
Known forRobot Scientist[3][4]
Scientific career
Fields
Institutions
ThesisA machine learning approach to the problem of predicting a protein's secondary structure from its primary structure (PROMIS) (1989)
Doctoral advisor
  • Peter Mowforth
  • Douglas McGregor
Websitewww.chalmers.se/en/departments/bio/research/systems-biology/king-lab/Pages/default.aspx

Education edit

King completed a Bachelor of Science degree in Microbiology at the University of Aberdeen in 1983 and went on to study for a Master of Science degree in Computer Science at the University of Newcastle in 1985. Following this, he completed a PhD at The Turing Institute at the University of Strathclyde in 1989[1] for work on developing machine learning methods for protein structure prediction.[7]

Research edit

King's research interests are in the automation of science, drug design, AI, machine learning and synthetic biology.[8][9] He is probably best known for the Robot Scientist[2][10][11][12][13][14][15][16][17] project which has created a robot that can:

  • hypothesize to explain observations
  • devise experiments to test these hypotheses
  • physically run the experiments using laboratory robotics
  • interpret the results from the experiments
  • repeat the cycle as required

The Robot Scientist can autonomously execute high-throughput hypothesis led research. In addition to automating experimentation Robot Scientists are well suited to recording scientific knowledge: as the experiments are conceived and executed automatically by computer, it is possible to completely capture and digitally curate all aspects of the scientific process. Robot Scientist is the first machine[14][18] to have been demonstrated to have discovered novel scientific knowledge. A new Robot Scientist Eve[19][20][21][22][23] is designed to automate drug discovery. Eve automates high-throughput screening, hit confirmation, and lead generation through QSAR learning and testing. Eve is being applied to the discovery of lead compounds for neglected tropical diseases.

King's research has been funded by the EPSRC[24] and the BBSRC.,[18] European Union, HEFCW, the Royal Academy of Engineering and JISC. He worked at Aberystwyth University for 15 years then moved to Manchester in January 2012. He left the School of Computer Science at the University of Manchester in 2019 and moved to Chalmers University of Technology.

He has an h-index of 54 according to Google Scholar.[25]

Collaborations edit

In 2000 King was a founder of the spin-out company PharmaDM,[26] which developed data mining tools for the pharmaceutical industry. The company was based largely on research applying data mining to bioinformatics and chemoinformatics. The other scientific founders come from the University of Oxford and Leuven.

King has also developed an algorithm for converting protein coding DNA sequences into music with Colin Angus of The Shamen.[27] The song S2-translation[28] based on this is in the Rough Guide to Rock,[29] and was on an album that sold more than 100,000 copies.

External links edit

References edit

  1. ^ a b King, Ross (1989). A machine learning approach to the problem of predicting a protein's secondary structure from its primary structure (PROMIS) (PhD thesis). University of Strathclyde.
  2. ^ a b King, Ross D.; Muggleton, Stephen H.; Srinivasan, A.; Sternberg, M. J. (1996). "Structure-activity relationships derived by machine learning: The use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming". Proceedings of the National Academy of Sciences of the United States of America. 93 (1): 438–442. Bibcode:1996PNAS...93..438K. doi:10.1073/pnas.93.1.438. PMC 40253. PMID 8552655.
  3. ^ Sparkes, A.; Aubrey, W.; Byrne, E.; Clare, A.; Khan, M. N.; Liakata, M.; Markham, M.; Rowland, J.; Soldatova, L. N.; Whelan, K. E.; Young, M.; King, R. D. (2010). "Towards Robot Scientists for autonomous scientific discovery". Automated Experimentation. 2: 1. doi:10.1186/1759-4499-2-1. PMC 2813846. PMID 20119518.
  4. ^ King, P.; Rowland, J.; Aubrey, W.; Liakata, M.; Markham, M.; Soldatova, L. N.; Whelan, K. E.; Clare, A.; Young, M.; Sparkes, A.; Oliver, S. G.; Pir, P. (2009). "The Robot Scientist Adam". Computer. 42 (7): 46–54. doi:10.1109/MC.2009.270. S2CID 13920692.
  5. ^ "Ross King". Chalmers. 12 December 2017. Retrieved 6 November 2019.
  6. ^ Srinivasan, A.; Muggleton, S.H.; Sternberg, M.J.E.; King, R.D. (1996). "Theories for mutagenicity: A study in first-order and feature-based induction". Artificial Intelligence. 85 (1–2): 277–299. doi:10.1016/0004-3702(95)00122-0.
  7. ^ King, R. D.; Sternberg, M. J. E. (1990). "Machine learning approach for the prediction of protein secondary structure". Journal of Molecular Biology. 216 (2): 441–457. doi:10.1016/S0022-2836(05)80333-X. PMID 2254939.
  8. ^ King, R. D.; Sternberg, M. J. E. (1996). "Identification and application of the concepts important for accurate and reliable protein secondary structure prediction". Protein Science. 5 (11): 2298–2310. doi:10.1002/pro.5560051116. PMC 2143286. PMID 8931148.
  9. ^ King, R. D.; Muggleton, S.; Lewis, R. A.; Sternberg, M. J. (1992). "Drug design by machine learning: The use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase". Proceedings of the National Academy of Sciences of the United States of America. 89 (23): 11322–11326. Bibcode:1992PNAS...8911322K. doi:10.1073/pnas.89.23.11322. PMC 50542. PMID 1454814.
  10. ^ King, R. D.; Liakata, M.; Lu, C.; Oliver, S. G.; Soldatova, L. N. (2011). "On the formalization and reuse of scientific research". Journal of the Royal Society Interface. 8 (63): 1440–1448. doi:10.1098/rsif.2011.0029. PMC 3163424. PMID 21490004.
  11. ^ Anderson, Philip W.; Abrahams, Elihu (2009). "Machines Fall Short of Revolutionary Science". Science. 324 (5934): 1515–1516. Bibcode:2009Sci...324.1515A. doi:10.1126/science.324_1515c. PMID 19541975.
  12. ^ Waltz, David; Buchanan, Bruce G. (2009). "Automating Science: Computers with intelligence can design and run experiments, but learning from the results to generate subsequent experiments requires even more intelligence". Science. 324 (5923): 43–44. doi:10.1126/science.1172781. PMID 19342574. S2CID 36543867.
  13. ^ Stevenson, R. W.; Murphy, J. F.; Clare, T. J. (2009). "Robot Inventors: Patently Impossible?". Science. 324 (5930): 1014. doi:10.1126/science.324_1014a. PMID 19460985.
  14. ^ a b King, R. D.; Rowland, J.; Oliver, S. G.; Young, M.; Aubrey, W.; Byrne, E.; Liakata, M.; Markham, M.; Pir, P.; Soldatova, L. N.; Sparkes, A.; Whelan, K. E.; Clare, A. (2009). "Make Way for Robot Scientists". Science. 325 (5943): 945. Bibcode:2009Sci...325R.945K. doi:10.1126/science.325_945a. PMID 19696334.
  15. ^ King, R. D.; Rowland, J.; Oliver, S. G.; Young, M.; Aubrey, W.; Byrne, E.; Liakata, M.; Markham, M.; Pir, P.; Soldatova, L. N.; Sparkes, A.; Whelan, K. E.; Clare, A. (2009). "The Automation of Science". Science. 324 (5923): 85–89. Bibcode:2009Sci...324...85K. doi:10.1126/science.1165620. PMID 19342587. S2CID 14948753.
  16. ^ King, R. D.; Whelan, K. E.; Jones, F. M.; Reiser, P. G. K.; Bryant, C. H.; Muggleton, S. H.; Kell, D. B.; Oliver, S. G. (2004). "Functional genomic hypothesis generation and experimentation by a robot scientist". Nature. 427 (6971): 247–252. Bibcode:2004Natur.427..247K. doi:10.1038/nature02236. PMID 14724639. S2CID 4428725.
  17. ^ King, R. D. (2011). "Rise of the Robo Scientists". Scientific American. 304 (1): 72–76. Bibcode:2011SciAm.304a..72K. doi:10.1038/scientificamerican0111-72. PMID 21265330.
  18. ^ a b . Archived from the original on 14 May 2013.
  19. ^ Wilson, N. (2004). "Technology: A robot scientist". Nature Reviews Genetics. 5 (3): 164. doi:10.1038/nrg1300. S2CID 5633301.
  20. ^ Bilsland, Elizabeth; Sparkes, Andrew; Williams, Kevin; Moss, Harry J.; de Clare, Michaela; Pir, Pınar; Rowland, Jem; Aubrey, Wayne; Pateman, Ron; Young, Mike; Carrington, Mark; King, Ross D.; Oliver, Stephen G. (2013). "Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds". Open Biology. 3 (2). The Royal Society: 120158. doi:10.1098/rsob.120158. ISSN 2046-2441. PMC 3603448. PMID 23446112.
  21. ^ Williams, Kevin; Bilsland, Elizabeth; Sparkes, Andrew; Aubrey, Wayne; Young, Michael; Soldatova, Larisa N.; De Grave, Kurt; Ramon, Jan; de Clare, Michaela; Sirawaraporn, Worachart; Oliver, Stephen G.; King, Ross D. (6 March 2015). "Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases". Journal of the Royal Society Interface. 12 (104). The Royal Society: 20141289. doi:10.1098/rsif.2014.1289. ISSN 1742-5689. PMC 4345494. PMID 25652463.
  22. ^ Bilsland, Elizabeth; van Vliet, Liisa; Williams, Kevin; Feltham, Jack; Carrasco, Marta P.; Fotoran, Wesley L.; Cubillos, Eliana F. G.; Wunderlich, Gerhard; Grøtli, Morten; Hollfelder, Florian; Jackson, Victoria; King, Ross D.; Oliver, Stephen G. (18 January 2018). "Plasmodium dihydrofolate reductase is a second enzyme target for the antimalarial action of triclosan". Scientific Reports. 8 (1). Springer Nature: 1038. Bibcode:2018NatSR...8.1038B. doi:10.1038/s41598-018-19549-x. ISSN 2045-2322. PMC 5773535. PMID 29348637.
  23. ^ Coutant, Anthony; Roper, Katherine; Trejo-Banos, Daniel; Bouthinon, Dominique; Carpenter, Martin; Grzebyta, Jacek; Santini, Guillaume; Soldano, Henry; Elati, Mohamed; Ramon, Jan; Rouveirol, Celine; Soldatova, Larisa N.; King, Ross D. (16 August 2019). "Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast". Proceedings of the National Academy of Sciences. 116 (36): 18142–18147. doi:10.1073/pnas.1900548116. ISSN 0027-8424. PMC 6731661. PMID 31420515.
  24. ^ "Grants awarded to Ross King by the Engineering and Physical Sciences Research Council (EPSRC)".
  25. ^ "Ross D. King". Google Scholar. Retrieved 30 April 2022.
  26. ^ "Pharmadm.com".
  27. ^ "Music to my DNA structure". Times Higher Education 2001-05-25. 25 May 2001.
  28. ^ "The Shamen - S2 Translation (S2 Protein)" on YouTube
  29. ^ Buckley, Peter J. (2003). The Rough Guide to Rock (Rough Guides). Rough Guides Limited. ISBN 978-1-84353-105-0.
 
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  • Welsh University announces intelligent robot conducting biology experiments

January 01, 1970
ross, king, other, people, with, same, name, ross, king, ross, donald, king, professor, machine, intelligence, chalmers, university, technology, ross, kingprof, ross, king, chalmers, university, technology, 2019bornross, donald, kingalma, materuniversity, aber. For other people with the same name see Ross King Ross Donald King is a Professor of Machine Intelligence 5 at Chalmers University of Technology 6 Ross KingProf Ross King Chalmers University of Technology Oct 2019BornRoss Donald KingAlma materUniversity of Aberdeen BSc Newcastle University MSc University of Strathclyde PhD Known forRobot Scientist 3 4 Scientific careerFieldsAutomation of Science Drug design Artificial intelligence Machine learning Synthetic biologyInstitutionsChalmers University of Technology University of Manchester University of Aberdeen Newcastle University Aberystwyth University University of Strathclyde 1 The Turing Institute 2 Manchester Institute of Biotechnology School of Computer ScienceThesisA machine learning approach to the problem of predicting a protein s secondary structure from its primary structure PROMIS 1989 Doctoral advisorPeter Mowforth Douglas McGregorWebsitewww wbr chalmers wbr se wbr en wbr departments wbr bio wbr research wbr systems biology wbr king lab wbr Pages wbr default wbr aspxContents 1 Education 2 Research 3 Collaborations 4 External links 5 ReferencesEducation editKing completed a Bachelor of Science degree in Microbiology at the University of Aberdeen in 1983 and went on to study for a Master of Science degree in Computer Science at the University of Newcastle in 1985 Following this he completed a PhD at The Turing Institute at the University of Strathclyde in 1989 1 for work on developing machine learning methods for protein structure prediction 7 Research editKing s research interests are in the automation of science drug design AI machine learning and synthetic biology 8 9 He is probably best known for the Robot Scientist 2 10 11 12 13 14 15 16 17 project which has created a robot that can hypothesize to explain observations devise experiments to test these hypotheses physically run the experiments using laboratory robotics interpret the results from the experiments repeat the cycle as required The Robot Scientist can autonomously execute high throughput hypothesis led research In addition to automating experimentation Robot Scientists are well suited to recording scientific knowledge as the experiments are conceived and executed automatically by computer it is possible to completely capture and digitally curate all aspects of the scientific process Robot Scientist is the first machine 14 18 to have been demonstrated to have discovered novel scientific knowledge A new Robot Scientist Eve 19 20 21 22 23 is designed to automate drug discovery Eve automates high throughput screening hit confirmation and lead generation through QSAR learning and testing Eve is being applied to the discovery of lead compounds for neglected tropical diseases King s research has been funded by the EPSRC 24 and the BBSRC 18 European Union HEFCW the Royal Academy of Engineering and JISC He worked at Aberystwyth University for 15 years then moved to Manchester in January 2012 He left the School of Computer Science at the University of Manchester in 2019 and moved to Chalmers University of Technology He has an h index of 54 according to Google Scholar 25 Collaborations editIn 2000 King was a founder of the spin out company PharmaDM 26 which developed data mining tools for the pharmaceutical industry The company was based largely on research applying data mining to bioinformatics and chemoinformatics The other scientific founders come from the University of Oxford and Leuven King has also developed an algorithm for converting protein coding DNA sequences into music with Colin Angus of The Shamen 27 The song S2 translation 28 based on this is in the Rough Guide to Rock 29 and was on an album that sold more than 100 000 copies External links editRoss D King on VideoLectures netReferences edit a b King Ross 1989 A machine learning approach to the problem of predicting a protein s secondary structure from its primary structure PROMIS PhD thesis University of Strathclyde a b King Ross D Muggleton Stephen H Srinivasan A Sternberg M J 1996 Structure activity relationships derived by machine learning The use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming Proceedings of the National Academy of Sciences of the United States of America 93 1 438 442 Bibcode 1996PNAS 93 438K doi 10 1073 pnas 93 1 438 PMC 40253 PMID 8552655 Sparkes A Aubrey W Byrne E Clare A Khan M N Liakata M Markham M Rowland J Soldatova L N Whelan K E Young M King R D 2010 Towards Robot Scientists for autonomous scientific discovery Automated Experimentation 2 1 doi 10 1186 1759 4499 2 1 PMC 2813846 PMID 20119518 King P Rowland J Aubrey W Liakata M Markham M Soldatova L N Whelan K E Clare A Young M Sparkes A Oliver S G Pir P 2009 The Robot Scientist Adam Computer 42 7 46 54 doi 10 1109 MC 2009 270 S2CID 13920692 Ross King Chalmers 12 December 2017 Retrieved 6 November 2019 Srinivasan A Muggleton S H Sternberg M J E King R D 1996 Theories for mutagenicity A study in first order and feature based induction Artificial Intelligence 85 1 2 277 299 doi 10 1016 0004 3702 95 00122 0 King R D Sternberg M J E 1990 Machine learning approach for the prediction of protein secondary structure Journal of Molecular Biology 216 2 441 457 doi 10 1016 S0022 2836 05 80333 X PMID 2254939 King R D Sternberg M J E 1996 Identification and application of the concepts important for accurate and reliable protein secondary structure prediction Protein Science 5 11 2298 2310 doi 10 1002 pro 5560051116 PMC 2143286 PMID 8931148 King R D Muggleton S Lewis R A Sternberg M J 1992 Drug design by machine learning The use of inductive logic programming to model the structure activity relationships of trimethoprim analogues binding to dihydrofolate reductase Proceedings of the National Academy of Sciences of the United States of America 89 23 11322 11326 Bibcode 1992PNAS 8911322K doi 10 1073 pnas 89 23 11322 PMC 50542 PMID 1454814 King R D Liakata M Lu C Oliver S G Soldatova L N 2011 On the formalization and reuse of scientific research Journal of the Royal Society Interface 8 63 1440 1448 doi 10 1098 rsif 2011 0029 PMC 3163424 PMID 21490004 Anderson Philip W Abrahams Elihu 2009 Machines Fall Short of Revolutionary Science Science 324 5934 1515 1516 Bibcode 2009Sci 324 1515A doi 10 1126 science 324 1515c PMID 19541975 Waltz David Buchanan Bruce G 2009 Automating Science Computers with intelligence can design and run experiments but learning from the results to generate subsequent experiments requires even more intelligence Science 324 5923 43 44 doi 10 1126 science 1172781 PMID 19342574 S2CID 36543867 Stevenson R W Murphy J F Clare T J 2009 Robot Inventors Patently Impossible Science 324 5930 1014 doi 10 1126 science 324 1014a PMID 19460985 a b King R D Rowland J Oliver S G Young M Aubrey W Byrne E Liakata M Markham M Pir P Soldatova L N Sparkes A Whelan K E Clare A 2009 Make Way for Robot Scientists Science 325 5943 945 Bibcode 2009Sci 325R 945K doi 10 1126 science 325 945a PMID 19696334 King R D Rowland J Oliver S G Young M Aubrey W Byrne E Liakata M Markham M Pir P Soldatova L N Sparkes A Whelan K E Clare A 2009 The Automation of Science Science 324 5923 85 89 Bibcode 2009Sci 324 85K doi 10 1126 science 1165620 PMID 19342587 S2CID 14948753 King R D Whelan K E Jones F M Reiser P G K Bryant C H Muggleton S H Kell D B Oliver S G 2004 Functional genomic hypothesis generation and experimentation by a robot scientist Nature 427 6971 247 252 Bibcode 2004Natur 427 247K doi 10 1038 nature02236 PMID 14724639 S2CID 4428725 King R D 2011 Rise of the Robo Scientists Scientific American 304 1 72 76 Bibcode 2011SciAm 304a 72K doi 10 1038 scientificamerican0111 72 PMID 21265330 a b 2 April 2009 Robot scientist becomes first machine to discover new scientific knowledge Media release BBSRC Archived from the original on 14 May 2013 Wilson N 2004 Technology A robot scientist Nature Reviews Genetics 5 3 164 doi 10 1038 nrg1300 S2CID 5633301 Bilsland Elizabeth Sparkes Andrew Williams Kevin Moss Harry J de Clare Michaela Pir Pinar Rowland Jem Aubrey Wayne Pateman Ron Young Mike Carrington Mark King Ross D Oliver Stephen G 2013 Yeast based automated high throughput screens to identify anti parasitic lead compounds Open Biology 3 2 The Royal Society 120158 doi 10 1098 rsob 120158 ISSN 2046 2441 PMC 3603448 PMID 23446112 Williams Kevin Bilsland Elizabeth Sparkes Andrew Aubrey Wayne Young Michael Soldatova Larisa N De Grave Kurt Ramon Jan de Clare Michaela Sirawaraporn Worachart Oliver Stephen G King Ross D 6 March 2015 Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases Journal of the Royal Society Interface 12 104 The Royal Society 20141289 doi 10 1098 rsif 2014 1289 ISSN 1742 5689 PMC 4345494 PMID 25652463 Bilsland Elizabeth van Vliet Liisa Williams Kevin Feltham Jack Carrasco Marta P Fotoran Wesley L Cubillos Eliana F G Wunderlich Gerhard Grotli Morten Hollfelder Florian Jackson Victoria King Ross D Oliver Stephen G 18 January 2018 Plasmodium dihydrofolate reductase is a second enzyme target for the antimalarial action of triclosan Scientific Reports 8 1 Springer Nature 1038 Bibcode 2018NatSR 8 1038B doi 10 1038 s41598 018 19549 x ISSN 2045 2322 PMC 5773535 PMID 29348637 Coutant Anthony Roper Katherine Trejo Banos Daniel Bouthinon Dominique Carpenter Martin Grzebyta Jacek Santini Guillaume Soldano Henry Elati Mohamed Ramon Jan Rouveirol Celine Soldatova Larisa N King Ross D 16 August 2019 Closed loop cycles of experiment design execution and learning accelerate systems biology model development in yeast Proceedings of the National Academy of Sciences 116 36 18142 18147 doi 10 1073 pnas 1900548116 ISSN 0027 8424 PMC 6731661 PMID 31420515 Grants awarded to Ross King by the Engineering and Physical Sciences Research Council EPSRC Ross D King Google Scholar Retrieved 30 April 2022 Pharmadm com Music to my DNA structure Times Higher Education 2001 05 25 25 May 2001 The Shamen S2 Translation S2 Protein on YouTube Buckley Peter J 2003 The Rough Guide to Rock Rough Guides Rough Guides Limited ISBN 978 1 84353 105 0 nbsp Wikinews has related news Welsh University announces intelligent robot conducting biology experiments Retrieved from https en wikipedia org w index php title Ross D King amp oldid 1192017690, wikipedia, wiki, book, books, library,

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