Abstract
Interaction specificity is a required feature of biological networks and a necessary characteristic of protein or small-molecule reagents and therapeutics. The ability to alter or inhibit protein interactions selectively would advance basic and applied molecular science. Assessing or modelling interaction specificity requires treating multiple competing complexes, which presents computational and experimental challenges. Here we present a computational framework for designing protein-interaction specificity and use it to identify specific peptide partners for human basic-region leucine zipper (bZIP) transcription factors. Protein microarrays were used to characterize designed, synthetic ligands for all but one of 20 bZIP families. The bZIP proteins share strong sequence and structural similarities and thus are challenging targets to bind specifically. Nevertheless, many of the designs, including examples that bind the oncoproteins c-Jun, c-Fos and c-Maf (also called JUN, FOS and MAF, respectively), were selective for their targets over all 19 other families. Collectively, the designs exhibit a wide range of interaction profiles and demonstrate that human bZIPs have only sparsely sampled the possible interaction space accessible to them. Our computational method provides a way to systematically analyse trade-offs between stability and specificity and is suitable for use with many types of structure-scoring functions; thus, it may prove broadly useful as a tool for protein design.
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Acknowledgements
This work was supported by the NIH award GM67681 and used computer equipment purchased under the NSF award 0216437. We thank the MIT BioMicro center for arraying instrumentation and R. T. Sauer, M. Singh, B. Tidor, M. Laub, T. A. Baker, J. H. Davis, M. S. Kay, J. R. S. Newman, W. F. DeGrado and members of the Keating laboratory, especially O. Ashenberg and T. C. S. Chen, for comments on the manuscript.
Author Contributions G.G., A.W.R. and A.E.K. conceived the project. G.G. developed, implemented and applied the CLASSY formalism and carried out all computational analyses. A.W.R. designed and performed all experiments. All authors analysed data and guided the research plan. G.G. and A.E.K. wrote the paper, in consultation with A.W.R.
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This file contains Supplementary Methods, Supplementary Data, a Supplementary Discussion, Supplementary Figures 1-17 with Legends, Supplementary Tables 1-6 and Supplementary References. (PDF 7986 kb)
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Grigoryan, G., Reinke, A. & Keating, A. Design of protein-interaction specificity gives selective bZIP-binding peptides. Nature 458, 859–864 (2009). https://doi.org/10.1038/nature07885
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DOI: https://doi.org/10.1038/nature07885
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