2023
DOI: 10.1186/s12859-023-05537-0
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Statistical modeling to quantify the uncertainty of FoldX-predicted protein folding and binding stability

Yesol Sapozhnikov,
Jagdish Suresh Patel,
F. Marty Ytreberg
et al.

Abstract: Background Computational methods of predicting protein stability changes upon missense mutations are invaluable tools in high-throughput studies involving a large number of protein variants. However, they are limited by a wide variation in accuracy and difficulty of assessing prediction uncertainty. Using a popular computational tool, FoldX, we develop a statistical framework that quantifies the uncertainty of predicted changes in protein stability. Results … Show more

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Cited by 7 publications
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