Characterizing the combined effects of cytochrome P450 missense variation within star allele definitions.

IF 1.9 4区 医学 Q3 PHARMACOLOGY & PHARMACY Pharmacogenomics Pub Date : 2023-07-01 Epub Date: 2023-07-28 DOI:10.2217/pgs-2023-0068
Nhlamulo Khoza, David Twesigomwe, Houcemeddine Othman
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Abstract

Background: Cytochrome P450 (CYP) genetic variation largely impacts drug response. However, many CYP star alleles (haplotypes) lack functional annotation, impeding our understanding of drug metabolism mechanisms. We aimed to investigate the impact of missense variant combinations on CYP protein structures. Methods: Normal mode analysis was conducted on 261 missense variants within 91 CYP haplotypes. CYP2D6*2 and CYP2D6*17 were prioritized for molecular dynamics simulation. Results: Normal mode analysis and molecular dynamics highlight the effects of known CYP missense variants on protein stability and conformational dynamics. Missense variants within haplotypes may have intermodulating effects on protein structure and function. Conclusion: This study highlights the utility of multiscale modeling in interpreting CYP missense variants and particularly their combinations within various star alleles.

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表征星形等位基因定义内细胞色素P450错义变异的综合效应。
背景:细胞色素P450(CYP)基因变异在很大程度上影响药物反应。然而,许多CYP星形等位基因(单倍型)缺乏功能注释,阻碍了我们对药物代谢机制的理解。我们旨在研究错义变体组合对CYP蛋白结构的影响。方法:对91个CYP单倍型中的261个错义变体进行正态模式分析。CYP2D6*2和CYP2D6*17被优先用于分子动力学模拟。结果:正态模式分析和分子动力学突出了已知CYP错义变体对蛋白质稳定性和构象动力学的影响。单倍型中的错义变体可能对蛋白质结构和功能具有互调效应。结论:本研究强调了多尺度建模在解释CYP错义变体,特别是它们在各种恒星等位基因中的组合方面的实用性。
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来源期刊
Pharmacogenomics
Pharmacogenomics 医学-药学
CiteScore
3.40
自引率
9.50%
发文量
88
审稿时长
4-8 weeks
期刊介绍: Pharmacogenomics (ISSN 1462-2416) is a peer-reviewed journal presenting reviews and reports by the researchers and decision-makers closely involved in this rapidly developing area. Key objectives are to provide the community with an essential resource for keeping abreast of the latest developments in all areas of this exciting field. Pharmacogenomics is the leading source of commentary and analysis, bringing you the highest quality expert analyses from corporate and academic opinion leaders in the field.
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