Understanding glycomechanics using mathematical modeling: a review of current approaches to simulate cellular glycosylation reaction networks.
Understanding glycomechanics using mathematical modeling: a review of current approaches to simulate cellular glycosylation reaction networks.
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DOI：
10.1007/s10439-011-0464-5
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发表时间：
2012-04
影响因子：
3.8
通讯作者：
Neelamegham, Sriram
中科院分区：
文献类型：
--
作者：
Puri, Apurv;Neelamegham, Sriram
关键词：
继基因组学和蛋白质组学之后，近年来糖组学领域的大规模实验方法不断发展。与此同时，人们对开发基于系统生物学的方法来研究糖组的兴趣也越来越大。这些努力的组合目标是鉴定调节人体生理学的糖基化依赖性机制、可以控制病理生理学进展的检查点以及可以导致更均匀的生物制药过程的反应途径的修饰。在这些努力中，N-和O-连接的糖基化的数学模型已经成为该领域的范例。虽然这些模型的数量相对较少，但现有模型提供了一个基本框架，可用于开发未来更复杂的糖基化分析策略。目前的审查调查这些计算模型，重点放在基本的数学和假设，并就其能力，以产生实验验证的假设。
Following the footsteps of genomics and proteomics, recent years have witnessed the growth of large-scale experimental methods in the field of glycomics. In parallel, there has also been growing interest in developing Systems Biology based methods to study the glycome. The combined goals of these endeavors is to identify glycosylation dependent mechanisms regulating human physiology, check-points that can control the progression of pathophysiology, and modifications to reaction pathways that can result in more uniform biopharmaceutical processes. In these efforts, mathematical models of N- and O-linked glycosylation have emerged as paradigms for the field. While these are relatively few in number, nevertheless, the existing models provide a basic framework that can be used to develop more sophisticated analysis strategies for glycosylation in the future. The current review surveys these computational models with focus on the underlying mathematics and assumptions, and with respect to their ability to generate experimentally testable hypotheses.
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