CHARACTERIZING THE 3D PROPERTIES OF POLY(NEU5AC) VS POLY(NEU5GC) POLYMERS

表征 POLY(NEU5AC) 与 POLY(NEU5GC) 聚合物的 3D 特性

• 批准号: 8361834
• 负责人: ROBERT J WOODS
• 金额: $ 0.18万
• 依托单位: UNIVERSITY OF GEORGIA
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-02-01 至 2012-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8361834
• 关键词: Biological; Chemicals; Data; Funding; Future; Grant; Length; Molecular Conformation; National Center for Research Resources; Polymers; Principal Investigator; Property; Research; Research Infrastructure; Resources; Shapes; Source; United States National Institutes of Health; cost; molecular dynamics

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Experimental data, NMR, is available which shows that Neu5Ac and Neu5Gc have different 3D conformations. Aside from chemical differences between Neu5Ac and Neu5Gc, these 3D structural differences may also provide a mechanism for differences in biological recognition. Various polymers of Neu5Ac and Neu5Gc will be compared using Molecular Dynamics (MD) simulations to determine the 3D shapes of the polymers and comparisons will be made to experimental data of identical polymer lengths. Additionally, polymers without experimental data will be studied to provide predictive data for future experimental comparisons.

该子项目是利用资源的众多研究子项目之一 由 NIH/NCRR 资助的中心拨款提供。子项目的主要支持 并且子项目的主要研究者可能是由其他来源提供的， 包括其他 NIH 来源。 子项目可能列出的总成本 代表子项目使用的中心基础设施的估计数量， NCRR 赠款不直接向子项目或子项目工作人员提供资金。 实验数据 NMR 表明 Neu5Ac 和 Neu5Gc 具有不同的 3D 构象。 除了 Neu5Ac 和 Neu5Gc 之间的化学差异外，这些 3D 结构差异还可能提供生物识别差异的机制。 将使用分子动力学 (MD) 模拟来比较 Neu5Ac 和 Neu5Gc 的各种聚合物，以确定聚合物的 3D 形状，并将与相同聚合物长度的实验数据进行比较。 此外，还将研究没有实验数据的聚合物，为未来的实验比较提供预测数据。