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.
Papers
More filters
Posted ContentDOI
Explainable Deep Generative Models, Ancestral Fragments, and Murky Regions of the Protein Structure Universe
TL;DR: In this paper , a deep generative model of protein superfamilies is combined with layerwise relevance propagation (LRP) to identify atoms of great relevance in creating an embedding during an all-superfamilies × alldomains analysis.
Journal ArticleDOI
End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins
Tian Cai,Shuo Zhang,Muge Chen,Di He,Amitesh Badkul,Yang Lu,Hari Krishna Namballa,Michael Dorogan,Wayne W. Harding,Cameron Mura,Philip E. Bourne,Lei Xie +11 more
TL;DR: In this paper , a 3D ligand binding site enhanced sequence pre-training strategy was proposed to encode the evolutionary links between ligand-binding sites across gene families. And a new out-of-cluster meta-learning algorithm that extracts and accumulates information learned from predicting ligands of distinct gene families (meta-data) and applies the meta-data to a dark gene family.
Journal ArticleDOI
Analysis of KRAS–Ligand Interaction Modes and Flexibilities Reveals the Binding Characteristics
TL;DR: In this article , the features of KRAS binding pockets and ligand-binding characteristics of allosteric KRAS complexes using a structural systems pharmacology approach are provided. But ligand features are not discussed.
Reference EntryDOI
Primary Protein and Nucleic Acid Three‐dimensional Structure Databases
TL;DR: All the publicly accessible three-dimensional structures of proteins, DNA, RNA and complexes thereof, which have been determined experimentally by X-ray crystallography or nuclear magnetic resonance, are maintained in the Protein Data Bank.