朝着更准确的药物基因组变异效应预测努力。
Towards more accurate pharmacogenomic variant effect predictions.
机构信息
Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, South Korea.
Medical Research Center, Seoul National University College of Medicine, Seoul, South Korea.
出版信息
Pharmacogenomics. 2023 Nov;24(16):841-844. doi: 10.2217/pgs-2023-0187. Epub 2023 Oct 17.
PMID:37846582
Abstract
Tweetable abstract Accurate variant interpretation has become a key bottleneck for the translation of an individual's pharmacogenome into actionable recommendations. We recommend an integrated use of multiplexed assays, structure-based predictions and biobank data to develop more accurate effect predictors.
摘要
可 tweeted 摘要 准确的变异解释已成为将个体的药物基因组转化为可行建议的关键瓶颈。我们建议综合使用多重分析、基于结构的预测和生物库数据来开发更准确的效果预测因子。
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