Inferring protein 3D structure from deep mutation scans.
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ABSTRACT:
SUBMITTER: Rollins NJ
PROVIDER: S-EPMC7295002 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature
Publications
Inferring protein 3D structure from deep mutation scans.
Rollins Nathan J NJ Brock Kelly P KP Poelwijk Frank J FJ Stiffler Michael A MA Gauthier Nicholas P NP Sander Chris C Marks Debora S DS
Nature genetics 20190617 7
We describe an experimental method of three-dimensional (3D) structure determination that exploits the increasing ease of high-throughput mutational scans. Inspired by the success of using natural, evolutionary sequence covariation to compute protein and RNA folds, we explored whether 'laboratory', synthetic sequence variation might also yield 3D structures. We analyzed five large-scale mutational scans and discovered that the pairs of residues with the largest positive epistasis in the experime ...[more]
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