Data-Driven Prediction and Design of bZIP Coiled-Coil Interactions
PLOS COMPUTATIONAL BIOLOGY
Authors: Potapov, Vladimir; Kaplan, Jenifer B.; Keating, Amy E.
Abstract
Selective dimerization of the basic-region leucine-zipper (bZIP) transcription factors presents a vivid example of how a high degree of interaction specificity can be achieved within a family of structurally similar proteins. The coiled-coil motif that mediates homo-or hetero-dimerization of the bZIP proteins has been intensively studied, and a variety of methods have been proposed to predict these interactions from sequence data. In this work, we used a large quantitative set of 4,549 bZIP coiled-coil interactions to develop a predictive model that exploits knowledge of structurally conserved residue-residue interactions in the coiled-coil motif. Our model, which expresses interaction energies as a sum of interpretable residue-pair and triplet terms, achieves a correlation with experimental binding free energies of R = 0.68 and significantly out-performs other scoring functions. To use our model in protein design applications, we devised a strategy in which synthetic peptides are built by assembling 7-residue native-protein heptad modules into new combinations. An integer linear program was used to find the optimal combination of heptads to bind selectively to a target human bZIP coiled coil, but not to target paralogs. Using this approach, we designed peptides to interact with the bZIP domains from human JUN, XBP1, ATF4 and ATF5. Testing more than 132 candidate protein complexes using a fluorescence resonance energy transfer assay confirmed the formation of tight and selective heterodimers between the designed peptides and their targets. This approach can be used to make inhibitors of native proteins, or to develop novel peptides for applications in synthetic biology or nanotechnology.
Selective destruction of glioblastoma cells by interference with the activity or expression of ATF5
ONCOGENE
Authors: Angelastro, JM; Canoll, PD; Kuo, J; Weicker, M; Costa, A; Bruce, JN; Greene, LA
Abstract
Glioblastoma multifome is the most common and most aggressive primary brain tumor with no current curative therapy. We found expression of the bZip transcription factor ATF5 in all 29 human glioblastomas and eight human and rat glioma cell lines assessed. ATF5 is not detectably expressed by mature brain neurons and astrocytes, but is expressed by reactive astrocytes. Interference with ATF5 function or expression in all glioma cell lines tested causes marked apoptotic cell death. In contrast, such manipulations do not affect survival of ATF5-expressing cultured astrocytes or of several other cell types that express this protein. In a proof-of-principle experiment, retroviral delivery of a function-blocking mutant form of ATF5 into a rat glioma model evokes death of the infected tumor cells, but not of infected brain cells outside the tumors. The widespread expression of ATF5 in glioblastomas and the selective effect of interference with ATF5 function/expression on their survival suggest that ATF5 may be an attractive target for therapeutic intervention in such tumors.