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Recording information on protein complexes in an information management system

DOI: 10.1016/j.jsb.2011.05.009 DOI Help
PMID: 21605682 PMID Help

Authors: Marc Savitsky (Wellcome Trust Centre for Human Genetics, University of Oxford) , Jonathan Diprose (Wellcome Trust Centre for Human Genetics, University of Oxford) , Chris Morris (Science and Technology Facilities Council (STFC)) , Susanne Griffiths (University of York) , Edward Daniel (Science and Technology Facilities Council (STFC)) , Bill Lin (Science and Technology Facilities Council (STFC)) , Susan Daenke (Wellcome Trust Centre for Human Genetics, University of Oxford) , Benjamin Bishop (University of Oxford) , Christian Siebold (Wellcome Trust Centre for Human Genetics, University of Oxford) , Keith Wilson (University of York) , Richard Blake (Science and Technology Facilities Council (STFC)) , Dave Stuart (Diamond Light Source) , Robert Esnouf (University of Oxford)
Co-authored by industrial partner: No

Type: Journal Paper
Journal: Journal Of Structural Biology , VOL 175 (2) , PAGES 224-229

State: Published (Approved)
Published: May 2011

Open Access Open Access

Abstract: The Protein Information Management System (PiMS) is a laboratory information management system (LIMS) designed for use with the production of proteins in a research environment. The software is distributed under the CCP4 licence, and so is available free of charge to academic laboratories. Like most LIMS, the underlying PiMS data model originally had no support for protein–protein complexes. To support the SPINE2-Complexes project the developers have extended PiMS to meet these requirements. The modifications to PiMS, described here, include data model changes, additional protocols, some user interface changes and functionality to detect when an experiment may have formed a complex. Example data are shown for the production of a crystal of a protein complex. Integration with SPINE2-Complexes Target Tracker application is also described.

Journal Keywords: Laboratory Information Management System (LIMS); Informatics; Data management; Data model; Protein complex

Subject Areas: Biology and Bio-materials

Technical Areas:

Added On: 03/08/2011 10:43

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