规范化(社会学)
化学
DNA
DNA测序
选择(遗传算法)
计算生物学
组合化学
药物发现
色谱法
吞吐量
高通量筛选
生化工程
计算机科学
机器学习
生物化学
生物
工程类
电信
社会学
人类学
无线
作者
Ramón Rama-Garda,Jorge Amigo,Julián Priego,Manuel Molina‐Martín,Leticia Cano,Eduardo Domínguez,Marı́a Isabel Loza,Alfonso Rivera‐Sagredo,Jesús de Blas
标识
DOI:10.1016/j.bmc.2021.116178
摘要
The output of an affinity selection screening results in a huge amount of valuable data that, after conducting the appropriate analysis, lead to the correct identification of the compounds enriched in the target of interest. The approach chosen to perform these analyses has become a key step in the development of a successful DNA Encoded Library platform. In this paper, we describe the combination of High Performance Liquid Chromatography purification during the library production with the Next Generation Sequencing analysis of the libraries to assess the yield of the chemical reactions prior to the affinity selection. This process allows us, apart from achieving higher quality libraries, to enable a normalization analysis of the affinity selection output, thus minimizing the bias induced by the chemical yield of each reaction as a misleading factor within the analysis and subsequent compound short-listing for off-DNA synthesis.
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