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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Nothing about protein structure classification makes sense except in the light of evolution
TL;DR: In this, the 200th anniversary of Charles Darwin's birth and the 150th Anniversary of the publication of the Origin of Species, it is fitting to revisit the classification of protein structures from an evolutionary perspective.
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Delineation of Polypharmacology across the Human Structural Kinome Using a Functional Site Interaction Fingerprint Approach
TL;DR: A systematic study of kinase-ligand binding modes for the human structural kinome at scale is performed by integrating chemical genomics and structural genomics data and by introducing a functional site interaction fingerprint (Fs-IFP) method.
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Curation of complex, context-dependent immunological data
Randi Vita,Kerrie Vaughan,Laura Zarebski,Nima Salimi,Ward Fleri,Howard M. Grey,Muthu Sathiamurthy,John L. Mokili,Huynh-Hoa Bui,Philip E. Bourne,Philip E. Bourne,Julia Ponomarenko,Romulo de Castro,Russell K. Chan,John Sidney,Stephen S. Wilson,Scott Stewart,Scott Way,Björn Peters,Alessandro Sette +19 more
TL;DR: Formalized curation strategies enable the processing of a large volume of context-dependent data, which are now available to the scientific community in an accessible and transparent format.
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Superimposé: a 3D structural superposition server
Raphael A. Bauer,Philip E. Bourne,Arno Formella,Cornelius Frömmel,Christoph Gille,Andrean Goede,Aysam Guerler,Andreas Hoppe,Ernst-Walter Knapp,Thorsten Pöschel,Burghardt Wittig,Valentin Ziegler,Robert Preissner +12 more
TL;DR: The Superimposé webserver performs structural similarity searches with a preference towards 3D structure-based methods and the possibility to find similar binding sites can be of special interest in the functional analysis of proteins.
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Multiscale modeling of the causal functional roles of nsSNPs in a genome-wide association study: application to hypoxia
Li Xie,Clara Ng,Thahmina Ali,Raoul Valencia,Barbara L Ferreira,Vincent Xue,Maliha Tanweer,Dan Zhou,Gabriel G. Haddad,Gabriel G. Haddad,Philip E. Bourne,Lei Xie +11 more
TL;DR: It is demonstrated that the consolidation of statistical, structural, and network views of biomolecules and their interactions can provide new insight into the functional role of nsSNPs in Genome-Wide Association Studies, in a way that neither the knowledge of molecular structures nor biological networks alone could achieve.