Philip E. Bourne, Ph.D.
Affiliations: | 1971-1980 | Chemistry | Flinders University, Australia, Bedford Park, South Australia, Australia |
| 1979-1981 | Biochemistry | University of Sheffield, Sheffield, England, United Kingdom | |
| 1981-1995 | Biochemistry and Molecular Physics | Columbia University, New York, NY | |
| 1995-2014 | San Diego Supercomputer Center/Pharmacology | University of California, San Diego, La Jolla, CA | |
| 2014- | Office of the Director | NIH (NCI) | |
| 2017- | School of Data Science, Biomedical Engineering | University of Virginia, Charlottesville, VA |
Website:
https://en.wikipedia.org/wiki/Philip_BourneGoogle:
"Philip Bourne"Bio:
Philip Eric Bourne (born 1953) is a United States researcher in health informatics. He is the first Associate Director for Data Science at the National Institutes of Health, where his projects include managing the Big Data to Knowledge initiative. Bourne was trained as a physical chemist in the mid to late 1970s and obtained his PhD in 1979 at the The Flinders University of South Australia. He moved to the University of Sheffield to do postdoctoral research during 1979-1981, followed by a move to Columbia University, New York, in 1981. In 1995 he moved to University of California, San Diego, where he was a Professor in the Department of Pharmacology. In 2014, he moved to NIH to become its Associate Director for Data Science. (Source: Wikipedia)
Parents
Sign in to add mentor| Murray Wilson | research assistant | 1969-1970 | Modbury HS |
| Pauline Harrison | post-doc | 1979-1981 | University of Sheffield (United Kingdom) |
Children
Sign in to add trainee| Peter Mossel | research assistant | 1985-1990 | Columbia |
| Janie Weiss | research assistant | 1987-1994 | Columbia |
| Susan Kisler | research assistant | 1991-1994 | Columbia |
| Eric D. Scheeff | grad student | 2003 | UCSD |
| Jenny Gu | grad student | 2006 | UCSD |
| Song Yang | grad student | 2007 | UCSD |
| Kristine M. Briedis | grad student | 2008 | UCSD |
| Roger Larken Chang | grad student | 2012 | UCSD |
| Eli Draizen | grad student | 2018-2022 | UVA (Chemistry Tree) |
| Werner G. Krebs | post-doc | 2002-2004 | UCSD |
| Ilya Shindyalov | post-doc | 1992-2005 | UCSD |
| Eric David Scheeff | post-doc | 2003-2006 | UCSD (Chemistry Tree) |
| Stella Veretnik | post-doc | 2002-2010 | UCSD |
| Cameron Mura | research scientist | 2018- | UVA (Chemistry Tree) |
| Lei Xie | research scientist | 2004-2011 | UCSD |
Publications
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| Draizen EJ, Readey J, Mura C, et al. (2024) Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data. Bmc Bioinformatics. 25: 11 |
| Mura C, Bourne PE. (2023) Ten simple rules for serving as an editor. Plos Computational Biology. 19: e1010911 |
| Cai T, Xie L, Zhang S, et al. (2023) End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins. Plos Computational Biology. 19: e1010851 |
| Bourne PE, Draizen EJ, Mura C. (2022) The curse of the protein ribbon diagram. Plos Biology. 20: e3001901 |
| Gallo K, Goede A, Mura C, et al. (2022) A Comparative Analysis of COVID-19 Vaccines Based on over 580,000 Cases from the Vaccination Adverse Event Reporting System. Vaccines. 10 |
| Gohlke BO, Zincke F, Eckert A, et al. (2022) Real-world evidence for preventive effects of statins on cancer incidence: A trans-Atlantic analysis. Clinical and Translational Medicine. 12: e726 |
| Zhao Z, Xie L, Bourne PE. (2021) Correction to "Structural Insights into Characterizing Binding Sites in Epidermal Growth Factor Receptor Kinase Mutants". Journal of Chemical Information and Modeling |
| Cai T, Xie L, Chen M, et al. (2021) Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology. Research Square |
| Mura C, Preissner S, Preissner R, et al. (2021) A Birds-Eye (Re)View of Acid-Suppression Drugs, COVID-19, and the Highly Variable Literature. Frontiers in Pharmacology. 12: 700703 |
| Mura C, Preissner S, Nahles S, et al. (2021) Real-world evidence for improved outcomes with histamine antagonists and aspirin in 22,560 COVID-19 patients. Signal Transduction and Targeted Therapy. 6: 267 |