Automated Quantification of Hydroxyl Reactivities: Prediction of Glycosylation Reactions

被引:57
作者
Chang, Chun-Wei [1 ]
Lin, Mei-Huei [1 ]
Chan, Chieh-Kai [1 ]
Su, Kuan-Yu [1 ]
Wu, Chia-Hui [1 ]
Lo, Wei-Chih [1 ]
Lam, Sarah [1 ]
Cheng, Yu-Ting [1 ]
Liao, Pin-Hsuan [1 ]
Wong, Chi-Huey [2 ,3 ]
Wang, Cheng-Chung [1 ,4 ]
机构
[1] Acad Sinica, Inst Chem, Taipei 115, Taiwan
[2] Acad Sinica, Genom Res Ctr, Taipei 115, Taiwan
[3] Scripps Res Inst, Dept Chem, 10550 N Torrey Pines Rd, La Jolla, CA 92037 USA
[4] Acad Sinica, Chem Biol & Mol Biophys Program, Taiwan Int Grad Program TIGP, Taipei 115, Taiwan
关键词
carbohydrates; diastereoselectivity; hydroxyl; glycosylation; predictive algorithms; EFFICIENT;
D O I
10.1002/anie.202013909
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The stereoselectivity and yield in glycosylation reactions are paramount but unpredictable. We have developed a database of acceptor nucleophilic constants (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 high reproducibility and accuracy. A diverse range of glycosylation donors and acceptors with well-defined reactivity and promoters were organized and processed by the designed software program "GlycoComputer" for prediction of glycosylation reactions without involving sophisticated computational processing. The importance of Aka was further verified by random forest algorithm, and the applicability was tested by the synthesis of a Lewis A skeleton to show that the stereoselectivity and yield can be accurately estimated.
引用
收藏
页码:12413 / 12423
页数:11
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