PDBe-KB - enhancing impact of structural knowledgebase in basic and translational research with focus on Pathogenic Mutations
Year of award: 2021
Grantholders
Dr Sameer Velankar
European Molecular Biology Laboratory, United Kingdom
Prof Christine Orengo
University College London, United Kingdom
Dr Alexey Murzin
MRC Laboratory of Molecular Biology, United Kingdom
Dr Robert Finn
European Bioinformatics Institute, United Kingdom
Prof Julian Gough
MRC Laboratory of Molecular Biology, United Kingdom
Project summary
In biology, the form or three-dimensional (3D) macromolecular protein structure dictates function. To date >175,000 experimentally determined 3D structures have been archived in the Protein Data Bank (PDB). Recent advances in structure prediction complement the data available in the PDB with predicted 3D-models. The PDBe-KnowledgeBase (PDBe-KB) is a world-leading, community-driven resource that integrates experimental structures from the PDB, predicted 3D-models from world-leading resources and enhances these structures with functional annotations (e.g. predicted functional sites, residue mutation impacts) from niche data resources in a comprehensive knowledge graph to facilitate explorations of fundamental biology, biomedicine, biotechnology, bioenergy, and STEM education about proteins, in 3D. The 3D-structure data is being used to illuminate the consequences of variation in SARS-CoV-2. This project will expand the data in PDBe-KB establishing a comprehensive 3D-fold structure domain library with the goal of significantly increasing structure coverage for sequences with particular focus on proteins from human and pathogens.