Egorova K S, Kondakova A N, Toukach Ph V
N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Leninskiy prospect 47, 119991 Moscow, Russia.
N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Leninskiy prospect 47, 119991 Moscow, Russia
Database (Oxford). 2015 Sep 3;2015. doi: 10.1093/database/bav073. Print 2015.
Carbohydrates are biological blocks participating in diverse and crucial processes both at cellular and organism levels. They protect individual cells, establish intracellular interactions, take part in the immune reaction and participate in many other processes. Glycosylation is considered as one of the most important modifications of proteins and other biologically active molecules. Still, the data on the enzymatic machinery involved in the carbohydrate synthesis and processing are scattered, and the advance on its study is hindered by the vast bulk of accumulated genetic information not supported by any experimental evidences for functions of proteins that are encoded by these genes. In this article, we present novel instruments for statistical analysis of glycomes in taxa. These tools may be helpful for investigating carbohydrate-related enzymatic activities in various groups of organisms and for comparison of their carbohydrate content. The instruments are developed on the Carbohydrate Structure Database (CSDB) platform and are available freely on the CSDB web-site at http://csdb.glycoscience.ru. Database URL: http://csdb.glycoscience.ru.
碳水化合物是参与细胞和生物体水平上各种关键过程的生物砌块。它们保护单个细胞,建立细胞内相互作用,参与免疫反应并参与许多其他过程。糖基化被认为是蛋白质和其他生物活性分子最重要的修饰之一。然而,关于参与碳水化合物合成和加工的酶机制的数据是分散的,并且由于大量积累的遗传信息没有得到这些基因编码的蛋白质功能的任何实验证据的支持,其研究进展受到阻碍。在本文中,我们提出了用于分类群中糖组统计分析的新工具。这些工具可能有助于研究各种生物体中的碳水化合物相关酶活性,并比较它们的碳水化合物含量。这些工具是在碳水化合物结构数据库(CSDB)平台上开发的,可在CSDB网站(http://csdb.glycoscience.ru)上免费获取。数据库网址:http://csdb.glycoscience.ru。