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) 
Website:
https://en.wikipedia.org/wiki/Philip_Bourne
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"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)

Children

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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
Werner G. Krebs post-doc 2002-2004 UCSD
Eric David Scheeff post-doc 2003-2006 UCSD (Chemistry Tree)
Cameron Mura research scientist 2018- UVA (Chemistry Tree)
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Publications

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Zhao Z, Bourne PE. (2020) Structural Insights into the Binding Modes of Viral RNA-Dependent RNA Polymerases Using a Function-Site Interaction Fingerprint Method for RNA Virus Drug Discovery. Journal of Proteome Research
Zhao Z, Bourne PE. (2020) Revealing acquired resistance mechanisms of kinase-targeted drugs using an on-the-fly, function-site interaction fingerprint approach. Journal of Chemical Theory and Computation
Mura C, Veretnik S, Bourne PE. (2019) The Urfold: Structural Similarity Just above the Superfold Level? Protein Science : a Publication of the Protein Society
Bliven SE, Lafita A, Rose PW, et al. (2019) Analyzing the symmetrical arrangement of structural repeats in proteins with CE-Symm. Plos Computational Biology. 15: e1006842
Zhao Z, Xie L, Bourne PE. (2019) Structural Insights into Characterizing Binding Sites in Epidermal Growth Factor Receptor Kinase Mutants. Journal of Chemical Information and Modeling. 59: 453-462
Youkharibache P, Veretnik S, Li Q, et al. (2018) The Small β-Barrel Domain: A Survey-Based Structural Analysis. Structure (London, England : 1993)
Mura C, Draizen EJ, Bourne PE. (2018) Structural biology meets data science: does anything change? Current Opinion in Structural Biology. 52: 95-102
Zhao Z, Bourne PE. (2018) Progress with covalent small-molecule kinase inhibitors. Drug Discovery Today
Zhao Z, Xie L, Bourne PE. (2017) Insights into the binding mode of MEK type-III inhibitors. A step towards discovering and designing allosteric kinase inhibitors across the human kinome. Plos One. 12: e0179936
Gao J, Prlic A, Bi C, et al. (2017) BioJava-ModFinder: identification of protein modifications in 3D structures from the Protein Data Bank. Bioinformatics (Oxford, England)
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