| Literature DB >> 33634934 |
Chun-Wei Chang1, Mei-Huei Lin1, Chieh-Kai Chan1, Kuan-Yu Su1, Chia-Hui Wu1, Wei-Chih Lo1, Sarah Lam1, Yu-Ting Cheng1, Pin-Hsuan Liao1, Chi-Huey Wong2,3, Cheng-Chung Wang1,4.
Abstract
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.Entities:
Keywords: carbohydrates; diastereoselectivity; glycosylation; hydroxyl; predictive algorithms
Year: 2021 PMID: 33634934 DOI: 10.1002/anie.202013909
Source DB: PubMed Journal: Angew Chem Int Ed Engl ISSN: 1433-7851 Impact factor: 15.336