Predicting specificity in bZIP coiled-coil protein interactions.

Jessica H Fong; Amy E Keating; Mona Singh

doi:10.1186/gb-2004-5-2-r11

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Predicting specificity in bZIP coiled-coil protein interactions.

Jessica H Fong·Amy E Keating·Mona Singh

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Abstract

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.

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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 Evaluation Study Journal Article Research Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.

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Jessica H Fong, Amy E Keating, Mona Singh. 2004-01-16. Predicting specificity in bZIP coiled-coil protein interactions.. https://doi.org/10.1186/gb-2004-5-2-r11

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