Abstract
Glycobiology is a glycan-based field of study that focuses on the structure, function, and biology of carbohydrates, and glycomics is a sub-study of the field of glycobiology that aims to define structure/function of glycans in living organisms. With the popularity of the glycobiology and glycomics, application of computational modeling expanded in the scientific area of glycobiology over the last decades. The recent availability of progressive Wet-Lab methods in the field of glycobiology and glycomics is promising for the impact of systems biology on the research area of the glycome, an emerging field that is termed “systems glycobiology.” This chapter will summarize the up-to-date leading edge in the use of bioinformatics tools in the field of glycobiology. The chapter provides basic knowledge both for glycobiologists interested in the application of bioinformatics tools and scientists of computational biology interested in studying the glycome.
Reference83 articles.
1. Varki A. Biological roles of glycans. Glycobiology. 2017;27(1):3-491
2. Ohtsubo K, Marth JD. Glycosylation in cellular mechanisms of health and disease. Cell. 2006;126(5):855-867
3. York WS, Kochut KJ, Miller JA. Integration of Glycomics Knowledge and Data. Handbook of Glycomics. Amsterdam, The Netherlands: Elsevier; 2010. pp. 177-195
4. Ferreira CR, Turco L, Guimarães E, Saraiva SA, Bertolla RP, Perecin F, et al. Proteomics, metabolomics and lipidomics in reproductive biotechnologies: The MS solutions. Acta Scientiae Veterinariae. 2010;38:s591-s603
5. Varki A. Evolutionary forces shaping the Golgi glycosylation machinery: Why cell surface glycans are universal to living cells. Cold Spring Harbor Perspectives in Biology. 2011;3(6):a005462
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献