Coarse-Grained Models for Aqueous Polyethylene Glycol Solutions

被引:28
作者
Choi, Eunsong [1 ]
Mondal, Jagannath [2 ]
Yethiraj, Arun [2 ]
机构
[1] Univ Wisconsin, Dept Phys, Madison, WI 53706 USA
[2] Univ Wisconsin, Dept Chem, Madison, WI 53706 USA
基金
美国国家科学基金会;
关键词
PARTICLE MESH EWALD; MOLECULAR-DYNAMICS; FORCE-FIELD; ELECTROSTATIC INTERACTIONS; BIOMOLECULAR SIMULATIONS; WATER; OXIDE; PEGYLATION; POLYMER; SHAPE;
D O I
10.1021/jp408392b
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
A new coarse-grained force field is developed for polyethylene glycol (PEG) in water. The force field is based on the MARTINI model but with the big multipole water (BMW) model for the solvent. The polymer force field is reparameterized using the MARTINI protocol. The new force field removes the ring-like conformations seen in simulations of short chains with the MARTINI force field; these conformations are not observed in atomistic simulations. We also investigate the effect of using parameters for the end-group that are different from those for the repeat units, with the MARTINI and BMW/MARTINI models. We find that the new BMW/MARTINI force field removes the ring-like conformations seen in the MARTINI models and has more accurate predictions for the density of neat PEG. However, solvent-separated-pairs between chain ends and slow dynamics of the PEG reflect its own artifacts. We also carry out fine-grained simulations of PEG with bundled water clusters and show that the water bundling can lead to ring-like conformations of the polymer molecules. The simulations emphasize the pitfalls of coarse-graining several molecules into one site and suggest that polymer solvent systems might be a stringent test for coarse-grained force fields.
引用
收藏
页码:323 / 329
页数:7
相关论文
共 50 条
  • [31] Coarse-Grained Molecular Dynamics Simulation of Surfactants in Aqueous Solution
    Chen Jingfei
    Hao Jingcheng
    PROGRESS IN CHEMISTRY, 2012, 24 (10) : 1890 - 1896
  • [32] An accurate coarse-grained model for chitosan polysaccharides in aqueous solution
    Tsereteli, Levan
    Grafmueller, Andrea
    PLOS ONE, 2017, 12 (07):
  • [33] Understanding the Structure and Rheology of Galactomannan Solutions with Coarse-Grained Modeling
    Pablo, Juan J. de
    Liang, Heyi
    Webb, Michael A.
    Chawathe, Manasi
    Bendejacq, Denis
    MACROMOLECULES, 2023, 56 (01) : 177 - 187
  • [34] Coarse-grained models for local density gradients
    DeLyser, Michael R.
    Noid, W. G.
    JOURNAL OF CHEMICAL PHYSICS, 2022, 156 (03)
  • [35] A Review of Cellulose Coarse-Grained Models and Their Applications
    Mehandzhiyski, Aleksandar Y.
    Zozoulenko, Igor
    POLYSACCHARIDES, 2021, 2 (02): : 257 - 270
  • [36] Developing coarse-grained models for agglomerate growth
    Smiljanic, Milena
    Weeber, Rudolf
    Pflueger, Dirk
    Holm, Christian
    Kronenburg, Andreas
    EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2019, 227 (14) : 1515 - 1527
  • [37] Machine-Learned Coarse-Grained Models
    Bejagam, Karteek K.
    Singh, Samrendra
    An, Yaxin
    Deshmukh, Sanket A.
    JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 2018, 9 (16): : 4667 - 4672
  • [38] Perspective: Advances, Challenges, and Insight for Predictive Coarse-Grained Models
    Noid, W. G.
    JOURNAL OF PHYSICAL CHEMISTRY B, 2023, 127 (19) : 4174 - 4207
  • [39] Coarse-grained molecular models of water: a review
    Hadley, Kevin R.
    McCabe, Clare
    MOLECULAR SIMULATION, 2012, 38 (8-9) : 671 - 681
  • [40] SIRAH Late Harvest: Coarse-Grained Models for Protein Glycosylation
    Garay, Pablo G.
    Machado, Matias R.
    Verli, Hugo
    Pantano, Sergio
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2024, 20 (02) : 963 - 976