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Data to knowledge: how to get meaning from your result

Year: 2014
Type: article
Abstract: Structural and functional studies require the development of sophisticated 'Big Data' technologies and software to increase the knowledge derived and ensure reproducibility of the data. This paper presents summaries of the Structural Biology Knowledge Base, the VIPERdb Virus Structure Database, evaluation of homology modeling by the Protein Model Portal, the ProSMART tool for conformation-independent structure comparison, the LabDB 'super' laboratory information management system and the Cambridge Structural Database. These techniques and technologies represent important tools for the transformation of crystallographic data into knowledge and information, in an effort to address the problem of non-reproducibility of experimental results.
Source: IUCrJ
DOI: 10.1107/s2052252514023306
Authors: Helen M. Berman, Margaret J. Gabanyi, Colin R. Groom, John E. Johnson, Garib N. Murshudov, Robert A. Nicholls, Vijay Reddy, Torsten Schwede, Matthew D. Zimmerman, John Westbrook, Wladek Minor
Institutions: Rutgers, The State University of New Jersey, Cambridge Crystallographic Data Centre, Scripps Research Institute, MRC Laboratory of Molecular Biology, SIB Swiss Institute of Bioinformatics, University of Basel, University of Virginia
Language: English
Open Access status: gold
Estimated APC paid: $2,200
Funders: National Science Foundation, Universität Basel, University of Virginia, National Institutes of Health, University of California, Irvine, Medical Research Council, Science and Technology Facilities Council, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, Lawrence Berkeley National Laboratory
Awards: The Protein Structure Inittiative Knowledgebase, COLLABORATIVE CENTER FOR AN ENZYME FUNCTION INITIATIVE, The NYSGRC: A Large Scale Center for PSI:Biology, G4336488413, Midwest Center for Structural Genomics, The Crystallography of Macromolecules, G6601593777
OpenAlex ID: W2126967581
FWCI: 1.058
Cites: 103
Cited by: 15
Related to: 10