Mesh : Computational Biology Databases, Factual Glycomics Glycoproteins / metabolism Humans Male Polysaccharides / chemistry

来  源:   DOI:10.3791/63356

Abstract:
The Glyco@Expasy initiative was launched as a collection of interdependent databases and tools spanning several aspects of knowledge in glycobiology. In particular, it aims at highlighting interactions between glycoproteins (such as cell surface receptors) and carbohydrate-binding proteins mediated by glycans. Here, major resources of the collection are introduced through two illustrative examples centered on the N-glycome of the human Prostate Specific Antigen (PSA) and the O-glycome of human serum proteins. Through different database queries and with the help of visualization tools, this article shows how to explore and compare content in a continuum to gather and correlate otherwise scattered pieces of information. Collected data are destined to feed more elaborate scenarios of glycan function. Glycoinformatics introduced here is, therefore, proposed as a means to either strengthen, shape, or refute assumptions on the specificity of a protein glycome in a given context.
摘要:
Glyco@Expasy计划是作为相互依存的数据库和工具的集合而启动的,涵盖了糖生物学知识的多个方面。特别是,它旨在强调糖蛋白(如细胞表面受体)和聚糖介导的碳水化合物结合蛋白之间的相互作用。这里,通过以人类前列腺特异性抗原(PSA)的N-糖和人类血清蛋白的O-糖为中心的两个说明性实例介绍了该集合的主要资源。通过不同的数据库查询,并在可视化工具的帮助下,本文展示了如何在连续体中探索和比较内容,以收集和关联分散的信息。收集的数据注定要提供更复杂的聚糖功能场景。这里介绍的是糖信息学,因此,提议作为加强的手段,形状,或反驳在给定背景下对蛋白质糖特异性的假设。
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