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LigASite—a database of biologically relevant binding sites in proteins with known apo-structures
Better characterization of binding sites in proteins and the ability to accurately predict their location and energetic properties are major challenges which, if addressed, would have many valuable practical applications. Unfortunately, reliable benchmark datasets of binding sites in proteins are st...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238865/ https://www.ncbi.nlm.nih.gov/pubmed/17933762 http://dx.doi.org/10.1093/nar/gkm839 |
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author | Dessailly, Benoit H. Lensink, Marc F. Orengo, Christine A. Wodak, Shoshana J. |
author_facet | Dessailly, Benoit H. Lensink, Marc F. Orengo, Christine A. Wodak, Shoshana J. |
author_sort | Dessailly, Benoit H. |
collection | PubMed |
description | Better characterization of binding sites in proteins and the ability to accurately predict their location and energetic properties are major challenges which, if addressed, would have many valuable practical applications. Unfortunately, reliable benchmark datasets of binding sites in proteins are still sorely lacking. Here, we present LigASite (‘LIGand Attachment SITE’), a gold-standard dataset of binding sites in 550 proteins of known structures. LigASite consists exclusively of biologically relevant binding sites in proteins for which at least one apo- and one holo-structure are available. In defining the binding sites for each protein, information from all holo-structures is combined, considering in each case the quaternary structure defined by the PQS server. LigASite is built using simple criteria and is automatically updated as new structures become available in the PDB, thereby guaranteeing optimal data coverage over time. Both a redundant and a culled non-redundant version of the dataset is available at http://www.scmbb.ulb.ac.be/Users/benoit/LigASite. The website interface allows users to search the dataset by PDB identifiers, ligand identifiers, protein names or sequence, and to look for structural matches as defined by the CATH homologous superfamilies. The datasets can be downloaded from the website as Schema-validated XML files or comma-separated flat files. |
format | Text |
id | pubmed-2238865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-22388652008-02-12 LigASite—a database of biologically relevant binding sites in proteins with known apo-structures Dessailly, Benoit H. Lensink, Marc F. Orengo, Christine A. Wodak, Shoshana J. Nucleic Acids Res Articles Better characterization of binding sites in proteins and the ability to accurately predict their location and energetic properties are major challenges which, if addressed, would have many valuable practical applications. Unfortunately, reliable benchmark datasets of binding sites in proteins are still sorely lacking. Here, we present LigASite (‘LIGand Attachment SITE’), a gold-standard dataset of binding sites in 550 proteins of known structures. LigASite consists exclusively of biologically relevant binding sites in proteins for which at least one apo- and one holo-structure are available. In defining the binding sites for each protein, information from all holo-structures is combined, considering in each case the quaternary structure defined by the PQS server. LigASite is built using simple criteria and is automatically updated as new structures become available in the PDB, thereby guaranteeing optimal data coverage over time. Both a redundant and a culled non-redundant version of the dataset is available at http://www.scmbb.ulb.ac.be/Users/benoit/LigASite. The website interface allows users to search the dataset by PDB identifiers, ligand identifiers, protein names or sequence, and to look for structural matches as defined by the CATH homologous superfamilies. The datasets can be downloaded from the website as Schema-validated XML files or comma-separated flat files. Oxford University Press 2008-01 2007-10-11 /pmc/articles/PMC2238865/ /pubmed/17933762 http://dx.doi.org/10.1093/nar/gkm839 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Dessailly, Benoit H. Lensink, Marc F. Orengo, Christine A. Wodak, Shoshana J. LigASite—a database of biologically relevant binding sites in proteins with known apo-structures |
title | LigASite—a database of biologically relevant binding sites in proteins with known apo-structures |
title_full | LigASite—a database of biologically relevant binding sites in proteins with known apo-structures |
title_fullStr | LigASite—a database of biologically relevant binding sites in proteins with known apo-structures |
title_full_unstemmed | LigASite—a database of biologically relevant binding sites in proteins with known apo-structures |
title_short | LigASite—a database of biologically relevant binding sites in proteins with known apo-structures |
title_sort | ligasite—a database of biologically relevant binding sites in proteins with known apo-structures |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238865/ https://www.ncbi.nlm.nih.gov/pubmed/17933762 http://dx.doi.org/10.1093/nar/gkm839 |
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