P
Philip E. Bourne
Researcher at University of Virginia
Publications - 357
Citations - 64294
Philip E. Bourne is an academic researcher from University of Virginia. The author has contributed to research in topics: Protein Data Bank & Structural genomics. The author has an hindex of 68, co-authored 331 publications receiving 54563 citations. Previous affiliations of Philip E. Bourne include University of Sheffield & University of California, Los Angeles.
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Journal ArticleDOI
Should biomedical research be like Airbnb
Vivien Bonazzi,Philip E. Bourne +1 more
TL;DR: It is illustrated how the analogy to internet-based platforms works and does not work and The Commons is introduced, under active development at the National Institutes of Health and elsewhere, as an example of the move towards platforms for research.
Posted ContentDOI
The Plasmodium falciparum drugome and its polypharmacological implications
Y Zhang,Lei Xie,Philip E. Bourne +2 more
TL;DR: A high-throughput systems-level analysis was performed, mapping existing FDA drugs with the potential for repurposing against targets from the P. falciparum structural proteome to prioritize potential new anti-malaria candidate targets and highlight some novel FDA approved drugs that have apparent anti- malaria effects for possible use as multi-target therapeutics.
Posted ContentDOI
Real-world Evidence for Preventive Effects of Statins on Cancer Incidence: A Trans-Atlantic Analysis
Björn-Oliver Gohlke,Zincke F,Andreas Eckert,Dennis Kobelt,Preissner S,Liebeskind Jm,Gunkel N,Putzker K,Lewis J,Benedikt Kortüm,Wolfgang Walther,Cameron Mura,Philip E. Bourne,Ulrike Stein,Robert Preissner,Robert Preissner +15 more
TL;DR: In this article, the inhibitory potential of various statins on the expression of a tumor enhancer known as MACC1 was assessed, taking into account the molecular functions of this key metastasis-associated protein.
Journal ArticleDOI
From biomedical cloud platforms to microservices: next steps in FAIR data and analysis
Nathan Sheffield,Vivien Bonazzi,Philip E. Bourne,Tony Burdett,Timothy Clark,Robert L. Grossman,Ola Spjuth,Andrew D. Yates +7 more
TL;DR: In this article , the authors argue that despite their advantages, cloud platforms in and of themselves do not automatically support FAIRness and propose that emphasizing modularity and interoperability would lead to a more powerful Unix-like ecosystem of web services for biomedical analysis and data retrieval.
Journal ArticleDOI
Bioinformatics meets data mining: time to dance?
TL;DR: The opening address by Heikki Mannila pointed out that data mining is much more than the application of standard database queries, and several posters and presentations described new integrative approaches for accessing data from different biological sources, with emphasis on linking gene identification to available functional information.