TOPSAN: A dynamic web database for structural genomics

Kyle Ellrott; Christian M. Zmasek; Dana Weekes; S. Sri Krishna; Constantina Bakolitsa; Adam Godzik; John Wooley

doi:10.1093/nar/gkq902

TOPSAN: A dynamic web database for structural genomics

Kyle Ellrott, Christian M. Zmasek, Dana Weekes, S. Sri Krishna, Constantina Bakolitsa, Adam Godzik, John Wooley

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

The Open Protein Structure Annotation Network (TOPSAN) is a web-based collaboration platform for exploring and annotating structures determined by structural genomics efforts. Characterization of those structures presents a challenge since the majority of the proteins themselves have not yet been characterized. Responding to this challenge, the TOPSAN platform facilitates collaborative annotation and investigation via a user-friendly webbased interface pre-populated with automatically generated information. Semantic web technologies expand and enrich TOPSAN's content through links to larger sets of related databases, and thus, enable data integration from disparate sources and data mining via conventional query languages. TOPSAN can be found at http://www.topsan.org.

Original language	English (US)
Pages (from-to)	D494-D496
Journal	Nucleic acids research
Volume	39
Issue number	SUPPL. 1
DOIs	https://doi.org/10.1093/nar/gkq902
State	Published - Jan 2011
Externally published	Yes

ASJC Scopus subject areas

Genetics

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10.1093/nar/gkq902

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title = "TOPSAN: A dynamic web database for structural genomics",

abstract = "The Open Protein Structure Annotation Network (TOPSAN) is a web-based collaboration platform for exploring and annotating structures determined by structural genomics efforts. Characterization of those structures presents a challenge since the majority of the proteins themselves have not yet been characterized. Responding to this challenge, the TOPSAN platform facilitates collaborative annotation and investigation via a user-friendly webbased interface pre-populated with automatically generated information. Semantic web technologies expand and enrich TOPSAN's content through links to larger sets of related databases, and thus, enable data integration from disparate sources and data mining via conventional query languages. TOPSAN can be found at http://www.topsan.org.",

author = "Kyle Ellrott and Zmasek, {Christian M.} and Dana Weekes and Krishna, {S. Sri} and Constantina Bakolitsa and Adam Godzik and John Wooley",

note = "Funding Information: National Institutes of Health National Institute of General Medical Sciences Protein Structure Initiative (grant No. U54 GM074898). Funding for open access charge: University of California San Diego.",

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AU - Bakolitsa, Constantina

AU - Godzik, Adam

AU - Wooley, John

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TOPSAN: A dynamic web database for structural genomics

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