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Searching for a mechanistic description of pairwise epistasis in protein systems
  • Jonathan Barnes,
  • Craig Miller,
  • F. Marty Ytreberg
Jonathan Barnes
University of Idaho

Corresponding Author:[email protected]

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Craig Miller
University of Idaho
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F. Marty Ytreberg
University of Idaho
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When two or more amino acid mutations occur in protein systems, they can interact in a non-additive fashion termed epistasis. One way to quantify epistasis between mutation pairs in protein systems is by using free energy differences: 系 = 饾毇饾毇G1,2 - (饾毇饾毇G1 + 饾毇饾毇G2) where 饾毇饾毇G refers to the change in the Gibbs free energy, subscripts 1 and 2 refer to single mutations in arbitrary order and 1,2 refers to the double mutant. In this study, we explore possible biophysical mechanisms that drive pairwise epistasis in both protein-protein binding affinity and protein folding stability. Using the largest available datasets containing experimental protein structures and free energy data, we derived statistical models for both binding and folding epistasis (系) with similar explanatory power (R2) of 0.299 and 0.258, respectively. These models contain terms and interactions that are consistent with intuition. For example, increasing the Cartesian separation between mutation sites leads to a decrease in observed epistasis for both folding and binding. Our results provide insight into factors that contribute to pairwise epistasis in protein systems and their importance in explaining epistasis. However, the low explanatory power indicates that more study is needed to fully understand this phenomenon.
19 May 2021Submitted to PROTEINS: Structure, Function, and Bioinformatics
19 May 2021Submission Checks Completed
19 May 2021Assigned to Editor
05 Jun 2021Reviewer(s) Assigned
17 Aug 2021Review(s) Completed, Editorial Evaluation Pending
09 Sep 2021Editorial Decision: Revise Major
05 Nov 20211st Revision Received
06 Nov 2021Submission Checks Completed
06 Nov 2021Assigned to Editor
19 Nov 2021Reviewer(s) Assigned
22 Feb 2022Review(s) Completed, Editorial Evaluation Pending
22 Feb 2022Editorial Decision: Accept
Jul 2022Published in Proteins: Structure, Function, and Bioinformatics volume 90 issue 7 on pages 1474-1485. 10.1002/prot.26328