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Integrative structural analysis reveals functional impacts of dna polymerase variants in various biological contexts, suggesting implications for variant classification.
Genetic variants in the DNA polymerase enzymes POLE and POLD1 can profoundly impact protein function, potentially disrupting stability, catalysis, DNA-binding, and interactions with other molecules. Understanding the structural basis of these functional impacts at the atomic level is essential for comprehensively interpreting variant effects. In this study, we utilize MAVISp, a modular, structure-based framework, to systematically characterize over 60,000 missense variants within the structured domains of POLE and POLD1. By integrating predictions related to protein stability, local misfolding, active-site or DNA and protein binding alterations, we provide a detailed structural interpretation of variants reported across various databases, including ClinVar, COSMIC, and cBioPortal. Moreover, we predict the functional consequences of numerous variants not found in disease-related mutation databases, creating a comprehensive catalogue for future studies. Our approach identifies structural mechanisms underlying established pathogenic mutations and flags over 300 Variants of Uncertain Significance (VUS) as potentially damaging, integrating them with already published experimental data (https://poled-db.org/). Collectively, our findings underscore the effectiveness of integrative structural analyses in elucidating the functional impact of genetic variants. This approach not only advances our understanding of protein variant effects at the atomic scale but also facilitates future studies aimed at variant classification, prioritization of variants for experimental studies, and functional interpretation in diverse biological contexts.
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Arnaudi et al. (2025) studied this question.
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