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. 2022 Dec 19;30(1):91–98. doi: 10.1038/s41594-022-00891-8

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 1 — A. Scheme for high throughput mutagenesis and analysis of functional variants of NOG2. B. Complete fitness landscape for variants in the core GTP-binding motifs of NOG2 (G4, G1, G2, G3; amino acids 260-369). Yellow squares indicate the WT amino acid identity. C. Distributions of observed fitness scores (Φ) for nonsense (red), missense (gray) and synonymous (green) mutations. D. Correlation between per-residue median fitness score and ConSURF ⁴¹ score (evolutionary conservation: scores 1-3, low; scores 4-6, medium; scores 7-9, high conservation). The statistical analysis used was performed in TileSeq and described in Weile et al. (ref. ⁸).

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