StructureBiochemistryPeer-reviewed journal article
Systematic characterization of indel variants using a yeast-based protein folding sensor
Sven Larsen-LedetiD, Søren LindemoseiD, Aleksandra PanfilovaiD, Sarah K. GersingiD, Caroline Hill SuhriD, Aitana Victoria Genzor, Heleen Lanters, Sofie Vincents NielseniD, Kresten Lindorff‐LarseniD, Jakob Rahr WintheriD, Amelie SteiniD, Rasmus Hartmann‐PeterseniD
Abstract
Gene variants resulting in insertions or deletions of amino acid residues (indels) have important consequences for evolution and are often linked to disease, yet compared to missense variants the effects of indels are poorly understood and predicted. To approach this issue, we developed a sensitive protein folding sensor based on complementation of uracil auxotrophy in yeast by circular permutated orotate phosphoribosyltransferase (CPOP). The sensor accurately reports on the folding of disease-linked missense variants and de novo designed proteins. Applying the folding sensor to a saturated library of single amino acid indel variants in human DHFR revealed that most regions which tolerate indels are confined to internal loops and the N- and C-termini. Surprisingly, indels are also allowed at a central -helix. Several indels are temperature-sensitive and the folding of most of these indels is rescued upon binding to the competitive DHFR inhibitor methotrexate. Rosetta and AlphaFold2 predictions correlate with the observed effects, suggesting that most indels operate by destabilizing the native fold and that these computational tools may be useful for classification of indels observed in population sequencing.
- organism: yeast
- assay: protein structure
- research focus: protein folding & dynamics
- research focus: variant effect prediction
- approach: experimental assay
- approach: deep learning
- approach: statistical model
- Citations
- 2
- FWCI
- 0.23
- Field percentile
- 44th percentile
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