| Literature DB >> 30117637 |
Abby M Hodges1, Aron W Fenton2, Larissa L Dougherty2, Andrew C Overholt1, Liskin Swint-Kruse2.
Abstract
Human mutations often cause amino acid changes (variants) that can alter protein function or stability. Some variants fall at protein positions that experimentally exhibit "rheostatic" mutation outcomes (different amino acid substitutions lead to a range of functional outcomes). In ongoing studies of rheostat positions, we encountered the need to aggregate experimental results from multiple variants, to describe the overall roles of individual positions. Here, we present "RheoScale" which generates quantitative scores to discriminate rheostat positions from those with "toggle" (most substitutions abolish function) or "neutral" (most substitutions have wild-type function) outcomes. RheoScale scores facilitate correlations of experimental data (such as binding affinity or stability) with structural and bioinformatic analyses. The RheoScale calculator is encoded into a Microsoft Excel workbook and an R script. Example analyses are shown for three model protein systems, including one assessed via deep mutational scanning. The RheoScale calculator quickly and efficiently provided quantitative descriptions that were in good agreement with prior qualitative observations. As an example application, scores were compared to the example proteins' structures; strong rheostat positions tended to occur in dynamic locations. In the future, RheoScale scores can be easily integrated into computational studies to facilitate improved algorithms for predicting outcomes of human variants.Entities:
Keywords: LacI/GalR; TIM barrel; deep mutational scanning; personalized medicine; protein; pyruvate kinase
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Year: 2018 PMID: 30117637 PMCID: PMC6602090 DOI: 10.1002/humu.23616
Source DB: PubMed Journal: Hum Mutat ISSN: 1059-7794 Impact factor: 4.878