Implementation of the UNRES/SUGRES-1P Coarse-Grained Model of Heparin for Simulating Protein/Heparin Interactions.

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2024-11-21 DOI:10.1021/acs.jctc.4c00575
Annemarie Danielsson, Sergey A Samsonov, Adam K Sieradzan
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Abstract

Heparin is a natural highly sulfated unbranched periodic polysaccharide that plays a critical role in regulating various cellular events through interactions with its protein targets such as growth factors and cytokines. Although all-atom simulations of heparin-containing systems provide valuable insights into their structural and dynamical properties, long chains of heparin participate in many biologically relevant processes at much bigger scales and longer times than the ones which all-atom MD is able to effectively deal with. Among these processes is the establishment of chemokine gradients, amyloidogenesis, or collagen network organization. To address this limitation, coarse-grained models simplify these systems by reducing the number of degrees of freedom, allowing for the efficient exploration of structural changes within protein/heparin complexes. We introduce and validate the accuracy of a new coarse-grained physics-based model designed for studying protein/heparin interactions, which has been incorporated into the UNRES software package. The effective energy functions from UNRES and SUGRES-1P have been employed for the protein and heparin components, respectively. A good agreement between the obtained coarse-grained simulation results and experimental data confirms the suitability of the combined coarse-grained UNRES and SUGRES-1P model for in silico analysis of complex biological phenomena involving heparin, spanning time scales and molecular system sizes not attainable by conventional atomistic molecular dynamics simulations.

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用于模拟蛋白质/肝素相互作用的 UNRES/SUGRES-1P 肝素粗粒度模型的实施。
肝素是一种天然的高度硫酸化无支链周期多糖,通过与生长因子和细胞因子等蛋白质靶标相互作用,在调节各种细胞事件中发挥着关键作用。尽管对含肝素系统的全原子模拟为了解其结构和动力学特性提供了宝贵的视角,但肝素长链在更大的尺度和更长的时间内参与了许多与生物相关的过程,而全原子 MD 能够有效地处理这些过程。这些过程包括趋化因子梯度的建立、淀粉样蛋白生成或胶原网络组织。为了解决这一限制,粗粒度模型通过减少自由度简化了这些系统,从而可以有效探索蛋白质/肝素复合物内部的结构变化。我们介绍并验证了一种新的基于物理的粗粒度模型的准确性,该模型专为研究蛋白质/肝素相互作用而设计,已被纳入 UNRES 软件包。蛋白质和肝素组分分别采用了 UNRES 和 SUGRES-1P 的有效能量函数。所获得的粗粒度模拟结果与实验数据之间的良好一致性证实了 UNRES 和 SUGRES-1P 组合粗粒度模型适用于涉及肝素的复杂生物现象的硅学分析,其时间跨度和分子系统大小是传统原子分子动力学模拟所无法达到的。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
期刊最新文献
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