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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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Main Authors: Brylinski, Michal, Skolnick, Jeffrey
פורמט: Artigo
שפה:Inglês
יצא לאור: 2010
נושאים:
גישה מקוונת: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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