2015
DOI: 10.1107/s2052252514023306
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Data to knowledge: how to get meaning from your result

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 D… Show more

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Cited by 13 publications
(14 citation statements)
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“…Automatic links in software used during structure determination (Dolomanov et al, 2009), the ease with which structures can be deposited, attribution of credit in the form of a DOI and continued demonstration of the value to science of depositing crystal structures (Berman et al, 2015) may help close this gap.…”
Section: Futurementioning
confidence: 99%
“…Automatic links in software used during structure determination (Dolomanov et al, 2009), the ease with which structures can be deposited, attribution of credit in the form of a DOI and continued demonstration of the value to science of depositing crystal structures (Berman et al, 2015) may help close this gap.…”
Section: Futurementioning
confidence: 99%
“…The protein structure was downloaded from the RCSB Protein Data Bank (http://www.rcsb.org/pdb/home/home.do) (PDB codes: 4WAF (PI3K α ), 4FJZ (PI3K γ ), and 6G6 W (PI3 K δ )). The intermolecular interactions were analyzed using PyMOL 1.7.6 (http://www.pymol.org/) . Computer simulations were used as the PI3 K β protein was not found in the RCSB Protein Data Bank.…”
Section: Methodsmentioning
confidence: 99%
“…The intermolecular interactions were analyzed using PyMOL 1.7.6 (http://www.pymol.org/). [39] Computer simulations were used as the PI3 Kβ protein was not found in the RCSB Protein Data Bank.…”
Section: Molecular Dockingmentioning
confidence: 99%
“…Oncoproteomics is rapidly changing from a discipline that originally dealt with relatively small datasets to a research area impacted by huge datasets: the era of Big Data [70]. Bioinformatics is an integral, and increasingly important, part of oncoproteomics research.…”
Section: Bioinformaticsmentioning
confidence: 99%