Predicting specificity in bZIP coiled-coil protein interactions

Jessica H. Fong, Amy E. Keating, Mona Singh

Research output: Contribution to journalArticlepeer-review

94 Scopus citations


We present a method for predicting protein-protein interactions mediated by the coiled-coil motif. When tested on interactions between nearly all human and yeast bZIP proteins, our method identifies 70% of strong interactions while maintaining that 92% of predictions are correct. Furthermore, cross-validation testing shows that including the bZIP experimental data significantly improves performance. Our method can be used to predict bZIP interactions in other genomes and is a promising approach for predicting coiled-coil interactions more generally.

Original languageEnglish (US)
JournalGenome biology
Issue number2
StatePublished - Jan 2004
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Genetics
  • Ecology, Evolution, Behavior and Systematics
  • Cell Biology


  • Additional Data File
  • Coiled Coil
  • Interaction Score
  • bZIP Protein
  • bZIP Transcription Factor


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