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Updated: Mar 9, 2026

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
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A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing

Published on: July 3, 2016

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监督学习蛋白质变异效应在大规模突变发生的数据集

Thea K Schulze1, Lasse M Blaabjerg1, Matteo Cagiada1

  • 1The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark.

Protein science : a publication of the Protein Society
|March 8, 2026
PubMed
概括

本研究引入了一个框架,通过计算实验变异来改进对变异效应多重测试 (MAVEs) 的监督学习. 这种方法增强了序列功能关系模型,并有助于解释不同MAVE数据集中的变异效应.

关键词:
深度突变扫描 (deep mutational scanning) 是一种对突变进行深度扫描的方法.机器学习是机器学习.蛋白质的丰富性 蛋白质的丰富性蛋白质的稳定性 蛋白质的稳定性变种效应是变种效应的影响.

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