辅助确定和验证碳水化合物三维结构数据的工具。
Tools to assist determination and validation of carbohydrate 3D structure data.
作者信息
Emsley Paul, Brunger Axel T, Lütteke Thomas
机构信息
MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge, CB2 0QH, UK.
出版信息
Methods Mol Biol. 2015;1273:229-40. doi: 10.1007/978-1-4939-2343-4_17.
The frequency of glycosylated protein 3D structures in the Protein Data Bank (PDB) is significantly lower than the proportion of glycoproteins in nature, and if glycan 3D structures are present, then they often exhibit a large degree of errors. There are various reasons for this, one of which is a comparably low support of carbohydrates in software tools for 3D structure determination and validation. This chapter illustrates the current features that assist crystallographers with handling glycans during 3D structure determination in Coot and CNS and with validation of the results.
蛋白质数据库（PDB）中糖基化蛋白质三维结构的出现频率显著低于自然界中糖蛋白的比例，而且如果存在聚糖三维结构，那么它们往往存在很大程度的误差。造成这种情况的原因有多种，其中之一是在用于三维结构测定和验证的软件工具中，对碳水化合物的支持相对较低。本章阐述了当前有助于晶体学家在使用Coot和CNS进行三维结构测定过程中处理聚糖以及验证结果的功能。
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