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Predicting protein networks in cancer

Characterization of the mutational landscape of tumors is important to understanding disease etiology but does not provide mechanistic insight into the functional role of specific mutations. A new study introduces a statistical mechanical framework that draws on biophysical data from SH2 domain–phosphoprotein interactions to predict the functional effects of mutations in cancer.

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Figure 1: The multiscale statistical mechanical (MSM) framework.

Debbie Maizels/Nature Publishing Group

References

  1. 1

    Nigro, J.M. et al. Nature 342, 705–708 (1989).

    CAS  Article  Google Scholar 

  2. 2

    Freed-Pastor, W.A. et al. Cell 148, 244–258 (2012).

    CAS  Article  Google Scholar 

  3. 3

    AlQuraishi, M., Koytiger, G., Jenney, A., MacBeath, G. & Sorger, P.K. Nat. Genet. 46, 1363–1371 (2014).

    CAS  Article  Google Scholar 

  4. 4

    Zhang, B. et al. Cell 153, 707–720 (2013).

    CAS  Article  Google Scholar 

  5. 5

    Chen, J.C. et al. Cell 159, 402–414 (2014).

    CAS  Article  Google Scholar 

  6. 6

    Zhong, Q. et al. Mol. Syst. Biol. 5, 321 (2009).

    Article  Google Scholar 

Download references

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Correspondence to Andrea Califano.

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Califano, A. Predicting protein networks in cancer. Nat Genet 46, 1252–1253 (2014). https://doi.org/10.1038/ng.3156

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