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Updated: Jun 2, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Molecular Determinants of Protein Pathogenicity at the Single-Aggregate Level
Agnieszka Urbanek1,2, Emma F Garland1,2, Emily E Prescott1,2
1Sheffield Institute for Translational Neuroscience, Division of Neuroscience, University of Sheffield, Sheffield, S10 2HQ, UK.
Abstract:
Determining the structure-function relationships of protein aggregates is a fundamental challenge in biology. These aggregates, whether formed in vitro, within cells, or in living organisms, present significant heterogeneity in their molecular features such as size, structure, and composition, making it difficult to determine how their structure influences their functions. Interpreting how these molecular features translate into functional roles is crucial for understanding cellular homeostasis and the pathogenesis of various debilitating diseases like Alzheimer's and Parkinson's. In this study, a bottom-up approach is introduced to explore how variations in protein aggregates' size, composition, post-translational modifications and point mutations profoundly influence their biological functions. Applying this method to Alzheimer's and Parkinson's associated proteins, novel disease-relevant pathways are uncovered, demonstrating how subtle alterations in composition and morphology can shift the balance between healthy and pathological states. This findings provide deeper insights into the molecular basis of protein's functions at the single-aggregate level, enhancing the knowledge of their roles in health and disease.
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