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Facilities that make the PDB data collection more powerful

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...

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Detalles Bibliográficos
Autores principales: Lange, Joanna, Baakman, Coos, Pistorius, Arthur, Krieger, Elmar, Hooft, Rob, Joosten, Robbie P., Vriend, Gert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933850/
https://www.ncbi.nlm.nih.gov/pubmed/31724231
http://dx.doi.org/10.1002/pro.3788
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author Lange, Joanna
Baakman, Coos
Pistorius, Arthur
Krieger, Elmar
Hooft, Rob
Joosten, Robbie P.
Vriend, Gert
author_facet Lange, Joanna
Baakman, Coos
Pistorius, Arthur
Krieger, Elmar
Hooft, Rob
Joosten, Robbie P.
Vriend, Gert
author_sort Lange, Joanna
collection PubMed
description 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.
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spelling pubmed-69338502019-12-30 Facilities that make the PDB data collection more powerful Lange, Joanna Baakman, Coos Pistorius, Arthur Krieger, Elmar Hooft, Rob Joosten, Robbie P. Vriend, Gert Protein Sci Tools for Protein Science 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. John Wiley & Sons, Inc. 2019-12-02 2020-01 /pmc/articles/PMC6933850/ /pubmed/31724231 http://dx.doi.org/10.1002/pro.3788 Text en © 2019 The Authors. Protein Science published by Wiley Periodicals, Inc. on behalf of The Protein Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Tools for Protein Science
Lange, Joanna
Baakman, Coos
Pistorius, Arthur
Krieger, Elmar
Hooft, Rob
Joosten, Robbie P.
Vriend, Gert
Facilities that make the PDB data collection more powerful
title Facilities that make the PDB data collection more powerful
title_full Facilities that make the PDB data collection more powerful
title_fullStr Facilities that make the PDB data collection more powerful
title_full_unstemmed Facilities that make the PDB data collection more powerful
title_short Facilities that make the PDB data collection more powerful
title_sort facilities that make the pdb data collection more powerful
topic Tools for Protein Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933850/
https://www.ncbi.nlm.nih.gov/pubmed/31724231
http://dx.doi.org/10.1002/pro.3788
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