Snbrfinder: a sequence-based hybrid algorithm for enhanced prediction of nucleic acid-binding residues

HIGHLIGHTS

  • who: Xiaoxia Yang and collaborators from the University, Wuhan, Hubei, People`s Republic of China have published the article: SNBRFinder: A Sequence-Based Hybrid Algorithm for Enhanced Prediction of Nucleic Acid-Binding Residues, in the Journal: PLOS ONE | DOI:10.1371/journal.pone [0133260]. July 15, 2015 of March/20,/2015
  • what: The authors propose algorithm Nucleic acid-Binding Residue Finder) by merging feature predictor SNBRFinderF and template predictor SNBRFinderT. The authors demonstrate that SNBRFinder not only got comparable or superior performance in comparison with RNABindRPlus, but also outperformed the existing sequence-based feature predictors . . .

     

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