|Title||Predicting specificity in bZIP coiled-coil protein interactions.|
|Publication Type||Journal Article|
|Year of Publication||2004|
|Authors||Fong, JH, Keating, AE, Singh, M|
|Keywords||Amino Acid Motifs, Basic-Leucine Zipper Transcription Factors, Computational Biology, DNA-Binding Proteins, Fungal Proteins, G-Box Binding Factors, Humans, Models, Molecular, Protein Binding, Protein Structure, Secondary, Reproducibility of Results, Static Electricity, Transcription Factors|
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.
|Alternate Journal||Genome Biol.|