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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...

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Autores principales: Weekes, Dana, Krishna, S Sri, Bakolitsa, Constantina, Wilson, Ian A, Godzik, Adam, Wooley, John
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
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.
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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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