TOPSAN: a collaborative annotation environment for structural genomics View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-12

AUTHORS

Dana Weekes, S Sri Krishna, Constantina Bakolitsa, Ian A Wilson, Adam Godzik, John Wooley

ABSTRACT

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. More... »

PAGES

426

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2105-11-426

DOI

http://dx.doi.org/10.1186/1471-2105-11-426

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032057729

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20716366


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