Institute of Science and Technology Austria , Am Campus 1, 3400 Klosterneuburg, Austria.
Wyatt Technology Europe , Hochstraße 18, 56307 Dernbach, Germany.
J Chem Theory Comput. 2017 Oct 10;13(10):5039-5053. doi: 10.1021/acs.jctc.7b00374. Epub 2017 Sep 8.
Polysaccharides (carbohydrates) are key regulators of a large number of cell biological processes. However, precise biochemical or genetic manipulation of these often complex structures is laborious and hampers experimental structure-function studies. Molecular Dynamics (MD) simulations provide a valuable alternative tool to generate and test hypotheses on saccharide function. Yet, currently used MD force fields often overestimate the aggregation propensity of polysaccharides, affecting the usability of those simulations. Here we tested MARTINI, a popular coarse-grained (CG) force field for biological macromolecules, for its ability to accurately represent molecular forces between saccharides. To this end, we calculated a thermodynamic solution property, the second virial coefficient of the osmotic pressure (B). Comparison with light scattering experiments revealed a nonphysical aggregation of a prototypical polysaccharide in MARTINI, pointing at an imbalance of the nonbonded solute-solute, solute-water, and water-water interactions. This finding also applies to smaller oligosaccharides which were all found to aggregate in simulations even at moderate concentrations, well below their solubility limit. Finally, we explored the influence of the Lennard-Jones (LJ) interaction between saccharide molecules and propose a simple scaling of the LJ interaction strength that makes MARTINI more reliable for the simulation of saccharides.
多糖(carbohydrates)是许多细胞生物学过程的关键调节剂。然而,对这些通常复杂结构的精确生化或遗传操作既费力又阻碍了实验结构-功能研究。分子动力学(MD)模拟为生成和测试有关糖功能的假设提供了有价值的替代工具。然而,目前使用的 MD 力场往往高估了多糖的聚集倾向,从而影响了这些模拟的可用性。在这里,我们测试了 MARTINI,一种流行的生物大分子粗粒(CG)力场,用于其在准确表示糖之间分子力方面的能力。为此,我们计算了热力学溶液性质,即渗透压的第二维里系数(B)。与光散射实验的比较表明,MARTINI 中存在原型多糖的非物理聚集,这表明非键合溶质-溶质、溶质-水和水-水相互作用不平衡。这一发现也适用于较小的寡糖,即使在较低的浓度下(远低于其溶解度极限),它们在模拟中也会聚集。最后,我们探讨了糖分子之间的 Lennard-Jones(LJ)相互作用的影响,并提出了一种简单的 LJ 相互作用强度缩放方法,使 MARTINI 更可靠地用于糖的模拟。