Automated Quantification of Hydroxyl Reactivities: Prediction of Glycosylation Reactions
作者:Chun‐Wei Chang、Mei‐Huei Lin、Chieh‐Kai Chan、Kuan‐Yu Su、Chia‐Hui Wu、Wei‐Chih Lo、Sarah Lam、Yu‐Ting Cheng、Pin‐Hsuan Liao、Chi‐Huey Wong、Cheng‐Chung Wang
DOI:10.1002/anie.202013909
日期:2021.5.25
(Aka) to quantify the nucleophilicity of hydroxyl groups in glycosylation influenced by the steric, electronic and structural effects, providing a connection between experiments and computer algorithms. The subtle reactivity differences among the hydroxyl groups on various carbohydrate molecules can be defined by Aka, which is easily accessible by a simple and convenient automation system to assure
糖基化反应的立体选择性和产率至关重要,但不可预测。我们已经开发了一个亲核亲核常数(Aka)数据库,用于量化受空间,电子和结构效应影响的糖基化中羟基的亲核性,从而在实验和计算机算法之间建立联系。各种碳水化合物分子上的羟基之间的细微反应性差异可以由Aka定义,Aka可以通过简单便捷的自动化系统轻松访问,以确保高重现性和准确性。通过设计的软件程序“ GlycoComputer”可以组织和处理各种具有明确反应性和启动子的糖基化供体和受体,从而无需复杂的计算过程即可预测糖基化反应。通过随机森林算法进一步验证了Aka的重要性,并通过合成Lewis A骨架测试了适用性,表明可以准确估计立体选择性和产率。