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• W2037442899 abstract "Metalloproteins account for a substantial fraction of all proteins. They incorporate metal atoms, which are required for their structure and/or function. Here we describe a new computational protocol to systematically compare and classify metal-binding sites on the basis of their structural similarity. These sites are extracted from the MetalPDB database of minimal functional sites (MFSs) in metal-binding biological macromolecules. Structural similarity is measured by the scoring function of the available MetalS2 program. Hierarchical clustering was used to organize MFSs into clusters, for each of which a representative MFS was identified. The comparison of all representative MFSs provided a thorough structure-based classification of the sites analyzed. As examples, the application of the proposed computational protocol to all heme-binding proteins and zinc-binding proteins of known structure highlighted the existence of structural subtypes, validated known evolutionary links and shed new light on the occurrence of similar sites in systems at different evolutionary distances. The present approach thus makes available an innovative viewpoint on metalloproteins, where the functionally crucial metal sites effectively lead the discovery of structural and functional relationships in a largely protein-independent manner." @default.
• W2037442899 created "2016-06-24" @default.
• W2037442899 creator A5061045572 @default.
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• W2037442899 date "2015-03-30" @default.
• W2037442899 modified "2023-10-16" @default.
• W2037442899 title "Hidden relationships between metalloproteins unveiled by structural comparison of their metal sites" @default.
• W2037442899 cites W120708166 @default.
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• W2037442899 doi "https://doi.org/10.1038/srep09486" @default.
• W2037442899 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4377587" @default.
• W2037442899 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25820752" @default.
• W2037442899 hasPublicationYear "2015" @default.
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