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Analyzing the simplicial decomposition of spatial protein structures
BACKGROUND: The fast growing Protein Data Bank contains the three-dimensional description of more than 45000 protein- and nucleic-acid structures today. The large majority of the data in the PDB are measured by X-ray crystallography by thousands of researchers in millions of work-hours. Unfortunatel...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2259412/ https://www.ncbi.nlm.nih.gov/pubmed/18315842 http://dx.doi.org/10.1186/1471-2105-9-S1-S11 |
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author | Ördög, Rafael Szabadka, Zoltán Grolmusz, Vince |
author_facet | Ördög, Rafael Szabadka, Zoltán Grolmusz, Vince |
author_sort | Ördög, Rafael |
collection | PubMed |
description | BACKGROUND: The fast growing Protein Data Bank contains the three-dimensional description of more than 45000 protein- and nucleic-acid structures today. The large majority of the data in the PDB are measured by X-ray crystallography by thousands of researchers in millions of work-hours. Unfortunately, lots of structural errors, bad labels, missing atoms, falsely identified chains and groups make dificult the automated processing of this treasury of structural biological data. RESULTS: After we performed a rigorous re-structuring of the whole PDB on graph-theoretical basis, we created the RS-PDB (Rich-Structure PDB) database. Using this cleaned and repaired database, we defined simplicial complexes on the heavy-atoms of the PDB, and analyzed the tetrahedra for geometric properties. CONCLUSION: We have found surprisingly characteristic differences between simplices with atomic vertices of different types, and between the atomic neighborhoods – described also by simplices – of different ligand atoms in proteins. |
format | Text |
id | pubmed-2259412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22594122008-03-04 Analyzing the simplicial decomposition of spatial protein structures Ördög, Rafael Szabadka, Zoltán Grolmusz, Vince BMC Bioinformatics Proceedings BACKGROUND: The fast growing Protein Data Bank contains the three-dimensional description of more than 45000 protein- and nucleic-acid structures today. The large majority of the data in the PDB are measured by X-ray crystallography by thousands of researchers in millions of work-hours. Unfortunately, lots of structural errors, bad labels, missing atoms, falsely identified chains and groups make dificult the automated processing of this treasury of structural biological data. RESULTS: After we performed a rigorous re-structuring of the whole PDB on graph-theoretical basis, we created the RS-PDB (Rich-Structure PDB) database. Using this cleaned and repaired database, we defined simplicial complexes on the heavy-atoms of the PDB, and analyzed the tetrahedra for geometric properties. CONCLUSION: We have found surprisingly characteristic differences between simplices with atomic vertices of different types, and between the atomic neighborhoods – described also by simplices – of different ligand atoms in proteins. BioMed Central 2008-02-13 /pmc/articles/PMC2259412/ /pubmed/18315842 http://dx.doi.org/10.1186/1471-2105-9-S1-S11 Text en Copyright © 2008 Ördög et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Proceedings Ördög, Rafael Szabadka, Zoltán Grolmusz, Vince Analyzing the simplicial decomposition of spatial protein structures |
title | Analyzing the simplicial decomposition of spatial protein structures |
title_full | Analyzing the simplicial decomposition of spatial protein structures |
title_fullStr | Analyzing the simplicial decomposition of spatial protein structures |
title_full_unstemmed | Analyzing the simplicial decomposition of spatial protein structures |
title_short | Analyzing the simplicial decomposition of spatial protein structures |
title_sort | analyzing the simplicial decomposition of spatial protein structures |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2259412/ https://www.ncbi.nlm.nih.gov/pubmed/18315842 http://dx.doi.org/10.1186/1471-2105-9-S1-S11 |
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