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
Erabutoxin b. Initial protein refinement and sequence analysis at 0.140-nm resolution.
Philip E. Bourne,Atsushi Sato,Peter W. R. Corfield,Lawrence S. Rosen,Steven Birken,Barbara W. Low +5 more
TL;DR: The study has established complete structural identity of the two sea-snake venom toxins, erabutoxin b and neurotoxin b, isolated from Laticauda semifasciata snakes taken in different Pacific Ocean waters.
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Sm/Lsm genes provide a glimpse into the early evolution of the spliceosome.
Stella Veretnik,Christopher Wills,Philippe Youkharibache,Ruben E. Valas,Philip E. Bourne,Philip E. Bourne +5 more
TL;DR: An analysis of 335 Sm and Sm-like genes from 80 species across all three kingdoms of life reveals an unusually high degree of conservation in intron positions, which suggests that functional spliceosomal introns existed before the emergence of the complete Sm/Lsm family of proteins.
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EpitopeViewer: a Java application for the visualization and analysis of immune epitopes in the Immune Epitope Database and Analysis Resource (IEDB)
TL;DR: The EpitopeViewer is a platform-independent Java application for the visualization of the three-dimensional structure and sequence of epitopes and analyses of their interactions with antigen-specific receptors of the immune system (antibodies, T cell receptors and MHC molecules).
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Helix packing and subunit conformation in horse spleen apoferritin
TL;DR: Two alternative ways of connecting helical regions which account almost equally well for the observed electron density are reported, and these two alternative conformations are assessed and compared with the conformations of other known proteins.
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Limitations of Ab initio predictions of peptide binding to MHC class II molecules.
Hao Zhang,Peng Wang,Nikitas Papangelopoulos,Ying Xu,Alessandro Sette,Philip E. Bourne,Ole Lund,Julia Ponomarenko,Morten Nielsen,Bjoern Peters +9 more
TL;DR: The notion that generating structure based predictions of peptide:MHC binding without using binding data is unlikely to give satisfactory results is supported in order to support the notion that making predictions in a sufficiently short time scale to be useful in a real world application is unlikely.