SPINE 2: A system for collaborative structural proteomics within a federated database framework

Chern Sing Goh, Ning Lan, Nathaniel Echols, Shawn M. Douglas, Duncan Milburn, Paul Bertone, Rong Xiao, Li Chung Ma, Deyou Zheng, Zeba Wunderlich, Tom Acton, Gaetano T. Montelione, Mark Gerstein

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

We present version 2 of the SPINE system for structural proteomics. SPINE is available over the web at http://nesg.org. It serves as the central hub for the Northeast Structural Genomics Consortium, allowing collaborative structural proteomics to be carried out in a distributed fashion. The core of SPINE is a laboratory information management system (LIMS) for key bits of information related to the progress of the consortium in cloning, expressing and purifying proteins and then solving their structures by NMR or X-ray crystallography. Originally, SPINE focused on tracking constructs, but, in its current form, it is able to track target sample tubes and store detailed sample histories. The core database comprises a set of standard relational tables and a data dictionary that form an initial ontology for proteomic properties and provide a framework for large-scale data mining. Moreover, SPINE sits at the center of a federation of interoperable information resources. These can be divided into (i) local resources closely coupled with SPINE that enable it to handle less standardized information (e.g. integrated mailing and publication lists), (ii) other information resources in the NESG consortium that are interlinked with SPINE (e.g. crystallization LIMS local to particular laboratories) and (iii) international archival resources that SPINE links to and passes on information to (e.g. TargetDB at the PDB).

Original languageEnglish (US)
Pages (from-to)2833-2838
Number of pages6
JournalNucleic acids research
Volume31
Issue number11
DOIs
StatePublished - Jun 1 2003
Externally publishedYes

ASJC Scopus subject areas

  • Genetics

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