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用计算方法解密糖胺聚糖的“硫酸化密码”。

Decrypting Glycosaminoglycan "sulfation code" with Computational Approaches.

作者信息

Samsonov Sergey A, Marcisz Mateusz P

机构信息

Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland.

出版信息

Handb Exp Pharmacol. 2025;288:131-153. doi: 10.1007/164_2025_741.

DOI:10.1007/164_2025_741
PMID:40167758
Abstract

Glycosaminoglycans (GAGs), linear anionic periodic polysaccharides, play pivotal roles in various biologically relevant processes within the extracellular matrix (ECM). These processes encompass cell development, proliferation, signaling, ECM assembly, coagulation, and angiogenesis. GAGs perform their functions through their interactions with specific protein partners, rendering them attractive targets for regenerative medicine and drug design. However, the molecular mechanisms governing protein-GAG interactions remain unclear. Classical structure determination techniques face significant challenges when dealing with protein-GAG complexes. This is due to GAGs' unique properties, including their extensive length, flexibility, periodicity, symmetry, multipose binding, and the high heterogeneity of their sulfation patterns constituting the "sulfation code." Consequently, only a limited number of experimental protein-GAG structures have been elucidated. Hence, theoretical approaches are particularly promising in deciphering the code for understanding the structure-function relationship of these complex molecules. In this chapter, we focus on the particularities, challenges, and advances of computational methods such as molecular docking, molecular dynamics, and free-energy calculations when applied to GAG-containing systems. These computational approaches offer valuable insights into the enigmatic world of protein-GAG interactions, paving the way for their enhanced understanding and potential therapeutic applications.

摘要

糖胺聚糖(GAGs)是线性阴离子周期性多糖,在细胞外基质(ECM)内的各种生物学相关过程中发挥关键作用。这些过程包括细胞发育、增殖、信号传导、ECM组装、凝血和血管生成。GAGs通过与特定蛋白质伙伴的相互作用来履行其功能,使其成为再生医学和药物设计的有吸引力的靶点。然而,控制蛋白质 - GAG相互作用的分子机制仍不清楚。在处理蛋白质 - GAG复合物时,经典的结构测定技术面临重大挑战。这是由于GAGs具有独特的性质,包括其长度长、灵活性高、周期性、对称性、多姿势结合以及构成“硫酸化密码”的硫酸化模式的高度异质性。因此,仅阐明了有限数量的实验性蛋白质 - GAG结构。因此,理论方法在解读密码以理解这些复杂分子的结构 - 功能关系方面特别有前景。在本章中,我们重点关注诸如分子对接、分子动力学和自由能计算等计算方法应用于含GAG系统时的特殊性、挑战和进展。这些计算方法为蛋白质 - GAG相互作用的神秘世界提供了有价值的见解,为增进对它们的理解和潜在治疗应用铺平了道路。

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本文引用的文献

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Extension of the SUGRES-1P Coarse-Grained Model of Polysaccharides to Heparin.多糖的 SUGRES-1P 粗粒模型向肝素的扩展。
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Designing Smaller, Synthetic, Functional Mimetics of Sulfated Glycosaminoglycans as Allosteric Modulators of Coagulation Factors.设计更小的、合成的、功能性的硫酸化糖胺聚糖类似物作为凝血因子的别构调节剂。
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3--Sulfation induces sequence-specific compact topologies in heparan sulfate that encode a dynamic sulfation code.硫酸化作用在硫酸乙酰肝素中诱导出序列特异性的紧密拓扑结构,这些结构编码了一种动态的硫酸化密码。
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Modeling Protein-Glycosaminoglycan Complexes: Does the Size Matter?建模蛋白-糖胺聚糖复合物:大小重要吗?
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A Bittersweet Computational Journey among Glycosaminoglycans.糖胺聚糖的甜蜜与苦涩计算之旅。
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Investigation of the structure of regulatory proteins interacting with glycosaminoglycans by combining NMR spectroscopy and molecular modeling - the beginning of a wonderful friendship.结合核磁共振光谱和分子建模研究与糖胺聚糖相互作用的调节蛋白的结构——一段美好友谊的开端。
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