2020
DOI: 10.22541/au.159795426.63628374
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Structural Bioinformatics Survey on Disease-inducing Missense Mutations

Abstract: Understanding the molecular mechanisms that correlate pathologies with missense mutations is of critical importance for disease risk estimations and for devising personalized therapies. Thus, we have performed a bioinformatic survey of ClinVar, a database of human genomic variations, to find signals that can account for missense mutation pathogenicity. Arginine resulted as the most frequently replaced amino acids both in benign and pathogenic mutations. By adding the structural dimension to this investigation … Show more

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