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Glycoinformatics : ウィキペディア英語版 | Glycoinformatics
Glycoinformatics is a relatively new field of bioinformatics that pertains to the study of carbohydrates. It broadly includes (but is not restricted to) database, software, and algorithm development for the study of carbohydrate structures, glycoconjugates, enzymatic carbohydrate synthesis and degradation, as well as carbohydrate interactions. Conventional usage of the term does not currently include the treatment of carbohydrates from the more well-known nutritive aspect. ==Complexity== Carbohydrates or "sugars" (this term should not be confused with simple sugars - monosaccharides and disaccharides) as they are generally called,〔Flitsch SL and Ulijn RV (2003). Nature 421:219-220. http://www.nature.com/nature/journal/v421/n6920/pdf/421219a.pdf〕 form the third class of biopolymers, other two being proteins and nucleic acids. Unlike proteins and nucleic acids which are linear, carbohydrates are often branched and extremely complex.〔Seeberger PH (2005). Nature 437:1239.〕 For instance, just four sugars can be strung together to form more than 5 million different types of carbohydrates〔Service RF (2001). Science 291:805-806. http://www.sciencemag.org/cgi/content/full/291/5505/805a〕 or nine different sugars may be assembled into 15 million possible four-sugar-chains.〔Dove A (2001). Nature Biotechnology 19:913-917. http://www.columbia.edu/cu/biology/courses/w3034/LACpapers/bittersweetNatBiot01.pdf〕 Despite their repetitive nature, carbohydrates are often considered as the "information poor" molecules. Consequently, bioinformatics on glycome is also very poor.〔Kikuchi N, et al. (2005). Bioinformatics 21:1717–1718. http://bioinformatics.oxfordjournals.org/cgi/content/full/21/8/1717〕
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Glycoinformatics」の詳細全文を読む
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