📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

2024BBSRC-NSF/BIO: Development of rich AI datasets for furthering life science research

Lead Research Organisation: European Bioinformatics Institute

Abstract

The vision of this US RCSB Protein Data Bank/Protein Data Bank in Europe project is to automate data deposition and improve management of three-dimensional (3D) biostructure information stored in the Protein Data Bank (PDB) and the Electron Microscopy Data Bank (EMDB). 3D structures stored in the PDB archive provide a wealth of insights into biochemical and cellular function of biological macromolecules. Historically, each structure determination experiment resulted in a single 3D structure, which was deposited manually to the PDB and identified with a persistent identifier or PDB ID (e.g.,1vol). Primary experimental data underpinning PDB structures are stored in the PDB (macromolecular crystallography or MX: diffraction data) and EMDB (3D electron microscopy of 3DEM: electric Coulomb potential maps). Working with the four major MX and 3DEM structures determination software providers (Phenix, CCP4, CCP-EM, and Global Phasing), we will enable automated one-at-a-time deposition of individual MX and 3DEM structures directly from their programs, thereby avoiding laborious, error-prone manual data entry. We will also enable automated parallel deposition of multiple related MX and 3DEM structures, constituting an investigation. This work will benefit researchers and educators/students across the sciences by improving 3D biostructure data quality and completeness and grouping related structures, which together explain important biological phenomena.

Publications

10 25 50