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Updated: Jul 13, 2025

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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Published on: May 22, 2018

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阿斯卡里斯:基于单氨基酸变异的位置特征注释和基于蛋白质结构的表示

Fatma Cankara1,2,3, Tunca Doğan1,4,5

  • 1Biological Data Science Laboratory, Dept. of Computer Engineering, Hacettepe University, Ankara, Turkey.

Computational and structural biotechnology journal
|October 12, 2023
PubMed
概括

我们开发了ASCARIS,这是一种使用功能注释来表示单氨基酸变异 (SAV) 的新方法. 这种方法有助于预测变异效应,并为遗传疾病研究建立综合模型.

关键词:
生物信息学工具/模型生物分子的表征.机器学习是机器学习.蛋白质域是一个蛋白质域.蛋白质序列的注释单个氨基酸的变化变化.变量效应预测变量效应的预测.

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