Effect of naturally-occurring mutations on the stability and function of cancer-associated NQO1: Comparison of experiments and computation Pacheco García, Juan Luis Tienne Matos, Kelly Pey Rodríguez, Ángel Luis Protein function Protein stability Genotype-phenotype correlations Computational prediction Sequence conservation Recent advances in DNA sequencing technologies are revealing a large individual variability of the human genome. Our capacity to establish genotype-phenotype correlations in such large-scale is, however, limited. This task is particularly challenging due to the multifunctional nature of many proteins. Here we describe an extensive analysis of the stability and function of naturally-occurring variants (found in the COSMIC and gnomAD databases) of the cancer-associated human NAD(P)H:quinone oxidoreductase 1 (NQO1). First, we performed in silico saturation mutagenesis studies (>5,000 substitutions) aimed to identify regions in NQO1 important for stability and function. We then experimentally characterized twenty-two naturally-occurring variants in terms of protein levels during bacterial expression, solubility, thermal stability, and coenzyme binding. These studies showed a good overall correlation between experimental analysis and computational predictions; also the magnitude of the effects of the substitutions are similarly distributed in variants from the COSMIC and gnomAD databases. Outliers in these experimental-computational genotype-phenotype correlations remain, and we discuss these on the grounds and limitations of our approaches. Our work represents a further step to characterize the mutational landscape of NQO1 in the human genome and may help to improve high-throughput in silico tools for genotype-phenotype correlations in this multifunctional protein associated with disease. 2023-01-16T12:47:37Z 2023-01-16T12:47:37Z 2022-11-24 info:eu-repo/semantics/article Pacheco-Garcia JL... [et al.] (2022), Effect of naturally-occurring mutations on the stability and function of cancerassociated NQO1: Comparison of experiments and computation. Front. Mol. Biosci. 9:1063620. doi: [10.3389/fmolb.2022.1063620] https://hdl.handle.net/10481/79025 10.3389/fmolb.2022.1063620 eng http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional Frontiers