Zinc proteome interaction network as a model to identify nutrient-affected pathways in human pathologies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Endocrinology, Diabetes and Metabolism
Link
http://link.springer.com/content/pdf/10.1007/s12263-014-0436-0.pdf
Reference41 articles.
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3. Andreini C, Bertini I, Rosato A (2004) A hint to search for metalloproteins in gene banks. Bioinformatics 20:1373–1380. doi: 10.1093/bioinformatics/bth095
4. Andreini C, Bertini I, Rosato A (2009) Metalloproteomes: a bioinformatic approach. Acc Chem Res 42:1471–1479. doi: 10.1021/ar900015x
5. Andreini C, Bertini I, Cavallaro G, Decaria L, Rosato A (2011) A simple protocol for the comparative analysis of the structure and occurrence of biochemical pathways across superkingdoms. J Chem Inf Model 51:730–738. doi: 10.1021/ci100392q
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