Facilities that make the PDB data collection more powerful.

Joanna Lange, Coos Baakman, Arthur Pistorius, Elmar Krieger, Rob Hooft, Robbie P Joosten, Gert Vriend

Protein science : a publication of the Protein Society 2020 Jan

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We describe a series of databases and tools that directly or indirectly support biomedical research on macromolecules, with focus on their applicability in protein structure bioinformatics research. DSSP, that determines secondary structures of proteins, has been updated to work well with extremely large structures in multiple formats. The PDBREPORT database that lists anomalies in protein structures has been remade to remove many small problems. These reports are now available as PDF-formatted files with a computer-readable summary. The VASE software has been added to analyze and visualize HSSP multiple sequence alignments for protein structures. The Lists collection of databases has been extended with a series of databases, most noticeably with a database that gives each protein structure a grade for usefulness in protein structure bioinformatics projects. The PDB-REDO collection of reanalyzed and re-refined protein structures that were solved by X-ray crystallography has been improved by dealing better with sugar residues and with hydrogen bonds, and adding many missing surface loops. All academic software underlying these protein structure bioinformatics applications and databases are now publicly accessible, either directly from the authors or from the GitHub software repository. © 2019 The Authors. Protein Science published by Wiley Periodicals, Inc. on behalf of The Protein Society.

Citation

Joanna Lange, Coos Baakman, Arthur Pistorius, Elmar Krieger, Rob Hooft, Robbie P Joosten, Gert Vriend. Facilities that make the PDB data collection more powerful. Protein science : a publication of the Protein Society. 2020 Jan;29(1):330-344