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Protein evolution is most commonly studied by analyzing related protein sequences and generating ancestral sequences through Bayesian and Maximum Likelihood methods, and/or by resurrecting ancestral proteins in the lab and

Protein evolution is most commonly studied by analyzing related protein sequences and generating ancestral sequences through Bayesian and Maximum Likelihood methods, and/or by resurrecting ancestral proteins in the lab and performing ligand binding studies to determine function. Structural and dynamic evolution have largely been left out of molecular evolution studies. Here we incorporate both structure and dynamics to elucidate the molecular principles behind the divergence in the evolutionary path of the steroid receptor proteins.

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    Date Created
    • 2012-03-29
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1371/journal.pcbi.1002428
    • Identifier Type
      International standard serial number
      Identifier Value
      1553-734X
    • Identifier Type
      International standard serial number
      Identifier Value
      1553-7358

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    Glembo, T. J., Farrell, D. W., Gerek, Z. N., Thorpe, M. F., & Ozkan, S. B. (2012). Collective Dynamics Differentiates Functional Divergence in Protein Evolution. PLoS Computational Biology, 8(3). doi:10.1371/journal.pcbi.1002428

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