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MetalPDB in 2018: a database of metal sites in biological macromolecular structures
MetalPDB (http://metalweb.cerm.unifi.it/) is a database providing information on metal-binding sites detected in the three-dimensional (3D) structures of biological macromolecules. MetalPDB represents such sites as 3D templates, called Minimal Functional Sites (MFSs), which describe the local enviro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753354/ https://www.ncbi.nlm.nih.gov/pubmed/29077942 http://dx.doi.org/10.1093/nar/gkx989 |
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author | Putignano, Valeria Rosato, Antonio Banci, Lucia Andreini, Claudia |
author_facet | Putignano, Valeria Rosato, Antonio Banci, Lucia Andreini, Claudia |
author_sort | Putignano, Valeria |
collection | PubMed |
description | MetalPDB (http://metalweb.cerm.unifi.it/) is a database providing information on metal-binding sites detected in the three-dimensional (3D) structures of biological macromolecules. MetalPDB represents such sites as 3D templates, called Minimal Functional Sites (MFSs), which describe the local environment around the metal(s) independently of the larger context of the macromolecular structure. The 2018 update of MetalPDB includes new contents and tools. A major extension is the inclusion of proteins whose structures do not contain metal ions although their sequences potentially contain a known MFS. In addition, MetalPDB now provides extensive statistical analyses addressing several aspects of general metal usage within the PDB, across protein families and in catalysis. Users can also query MetalPDB to extract statistical information on structural aspects associated with individual metals, such as preferred coordination geometries or aminoacidic environment. A further major improvement is the functional annotation of MFSs; the annotation is manually performed via a password-protected annotator interface. At present, ∼50% of all MFSs have such a functional annotation. Other noteworthy improvements are bulk query functionality, through the upload of a list of PDB identifiers, and ftp access to MetalPDB contents, allowing users to carry out in-depth analyses on their own computational infrastructure. |
format | Online Article Text |
id | pubmed-5753354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57533542018-01-05 MetalPDB in 2018: a database of metal sites in biological macromolecular structures Putignano, Valeria Rosato, Antonio Banci, Lucia Andreini, Claudia Nucleic Acids Res Database Issue MetalPDB (http://metalweb.cerm.unifi.it/) is a database providing information on metal-binding sites detected in the three-dimensional (3D) structures of biological macromolecules. MetalPDB represents such sites as 3D templates, called Minimal Functional Sites (MFSs), which describe the local environment around the metal(s) independently of the larger context of the macromolecular structure. The 2018 update of MetalPDB includes new contents and tools. A major extension is the inclusion of proteins whose structures do not contain metal ions although their sequences potentially contain a known MFS. In addition, MetalPDB now provides extensive statistical analyses addressing several aspects of general metal usage within the PDB, across protein families and in catalysis. Users can also query MetalPDB to extract statistical information on structural aspects associated with individual metals, such as preferred coordination geometries or aminoacidic environment. A further major improvement is the functional annotation of MFSs; the annotation is manually performed via a password-protected annotator interface. At present, ∼50% of all MFSs have such a functional annotation. Other noteworthy improvements are bulk query functionality, through the upload of a list of PDB identifiers, and ftp access to MetalPDB contents, allowing users to carry out in-depth analyses on their own computational infrastructure. Oxford University Press 2018-01-04 2017-10-25 /pmc/articles/PMC5753354/ /pubmed/29077942 http://dx.doi.org/10.1093/nar/gkx989 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Putignano, Valeria Rosato, Antonio Banci, Lucia Andreini, Claudia MetalPDB in 2018: a database of metal sites in biological macromolecular structures |
title | MetalPDB in 2018: a database of metal sites in biological macromolecular structures |
title_full | MetalPDB in 2018: a database of metal sites in biological macromolecular structures |
title_fullStr | MetalPDB in 2018: a database of metal sites in biological macromolecular structures |
title_full_unstemmed | MetalPDB in 2018: a database of metal sites in biological macromolecular structures |
title_short | MetalPDB in 2018: a database of metal sites in biological macromolecular structures |
title_sort | metalpdb in 2018: a database of metal sites in biological macromolecular structures |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753354/ https://www.ncbi.nlm.nih.gov/pubmed/29077942 http://dx.doi.org/10.1093/nar/gkx989 |
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