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TOPSAN: a collaborative annotation environment for structural genomics
BACKGROUND: Many protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositions and are not accompanied by a peer-reviewed manuscript. Because of this they are not accessible by the standard tools...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936398/ https://www.ncbi.nlm.nih.gov/pubmed/20716366 http://dx.doi.org/10.1186/1471-2105-11-426 |
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author | Weekes, Dana Krishna, S Sri Bakolitsa, Constantina Wilson, Ian A Godzik, Adam Wooley, John |
author_facet | Weekes, Dana Krishna, S Sri Bakolitsa, Constantina Wilson, Ian A Godzik, Adam Wooley, John |
author_sort | Weekes, Dana |
collection | PubMed |
description | BACKGROUND: Many protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositions and are not accompanied by a peer-reviewed manuscript. Because of this they are not accessible by the standard tools of literature searches, remaining underutilized by the broad biological community. RESULTS: To address this issue we have developed TOPSAN, The Open Protein Structure Annotation Network, a web-based platform that combines the openness of the wiki model with the quality control of scientific communication. TOPSAN enables research collaborations and scientific dialogue among globally distributed participants, the results of which are reviewed by experts and eventually validated by peer review. The immediate goal of TOPSAN is to harness the combined experience, knowledge, and data from such collaborations in order to enhance the impact of the astonishing number and diversity of structures being determined by structural genomics centers and high-throughput structural biology. CONCLUSIONS: TOPSAN combines features of automated annotation databases and formal, peer-reviewed scientific research literature, providing an ideal vehicle to bridge a gap between rapidly accumulating data from high-throughput technologies and a much slower pace for its analysis and integration with other, relevant research. |
format | Text |
id | pubmed-2936398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29363982010-09-10 TOPSAN: a collaborative annotation environment for structural genomics Weekes, Dana Krishna, S Sri Bakolitsa, Constantina Wilson, Ian A Godzik, Adam Wooley, John BMC Bioinformatics Methodology Article BACKGROUND: Many protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositions and are not accompanied by a peer-reviewed manuscript. Because of this they are not accessible by the standard tools of literature searches, remaining underutilized by the broad biological community. RESULTS: To address this issue we have developed TOPSAN, The Open Protein Structure Annotation Network, a web-based platform that combines the openness of the wiki model with the quality control of scientific communication. TOPSAN enables research collaborations and scientific dialogue among globally distributed participants, the results of which are reviewed by experts and eventually validated by peer review. The immediate goal of TOPSAN is to harness the combined experience, knowledge, and data from such collaborations in order to enhance the impact of the astonishing number and diversity of structures being determined by structural genomics centers and high-throughput structural biology. CONCLUSIONS: TOPSAN combines features of automated annotation databases and formal, peer-reviewed scientific research literature, providing an ideal vehicle to bridge a gap between rapidly accumulating data from high-throughput technologies and a much slower pace for its analysis and integration with other, relevant research. BioMed Central 2010-08-17 /pmc/articles/PMC2936398/ /pubmed/20716366 http://dx.doi.org/10.1186/1471-2105-11-426 Text en Copyright ©2010 Weekes 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 | Methodology Article Weekes, Dana Krishna, S Sri Bakolitsa, Constantina Wilson, Ian A Godzik, Adam Wooley, John TOPSAN: a collaborative annotation environment for structural genomics |
title | TOPSAN: a collaborative annotation environment for structural genomics |
title_full | TOPSAN: a collaborative annotation environment for structural genomics |
title_fullStr | TOPSAN: a collaborative annotation environment for structural genomics |
title_full_unstemmed | TOPSAN: a collaborative annotation environment for structural genomics |
title_short | TOPSAN: a collaborative annotation environment for structural genomics |
title_sort | topsan: a collaborative annotation environment for structural genomics |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936398/ https://www.ncbi.nlm.nih.gov/pubmed/20716366 http://dx.doi.org/10.1186/1471-2105-11-426 |
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