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FINDSITE-metal: Integrating evolutionary information and machine learning for structure-based metal binding site prediction at the proteome level

The rapid accumulation of gene sequences, many of which are hypothetical proteins with unknown function, has stimulated the development of accurate computational tools for protein function prediction with evolution/structure-based approaches showing considerable promise. In this paper, we present FI...

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Hlavní autoři: Brylinski, Michal, Skolnick, Jeffrey
Médium: Artigo
Jazyk:Inglês
Vydáno: 2010
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3060289/
https://ncbi.nlm.nih.gov/pubmed/21287609
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/prot.22913
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