2013
DOI: 10.1021/ct3009655
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Martini Force Field Parameters for Glycolipids

Abstract: We present an extension of the Martini coarse-grained force field to glycolipids. The glycolipids considered here are the glycoglycerolipids monogalactosyldiacylglycerol (MGDG), sulfoquinovosyldiacylglycerol (SQDG), digalactosyldiacylglycerol (DGDG), and phosphatidylinositol (PI) and its phosphorylated forms (PIP, PIP2), as well as the glycosphingolipids galactosylceramide (GCER) and monosialotetrahexosylganglioside (GM1). The parametrization follows the same philosophy as was used previously for lipids, prote… Show more

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Cited by 171 publications
(215 citation statements)
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References 72 publications
(144 reference statements)
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“…18 The atomic representation of DPPC, GM1, protein amino acids, and their corresponding CG models are given in Figures S1 and S2 in the Supporting Information. Similar to the Martini model, [17][18][19]39 the DPD beads are sorted into charged (Q), polar (P), nonpolar (N), and apolar (C) types. Each type is further divided into sublevels based on their hydrogen donor capacities (d), hydrogen acceptor capacities (a), and non-hydrogen-bond-forming capacities (0).…”
Section: Simulation Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…18 The atomic representation of DPPC, GM1, protein amino acids, and their corresponding CG models are given in Figures S1 and S2 in the Supporting Information. Similar to the Martini model, [17][18][19]39 the DPD beads are sorted into charged (Q), polar (P), nonpolar (N), and apolar (C) types. Each type is further divided into sublevels based on their hydrogen donor capacities (d), hydrogen acceptor capacities (a), and non-hydrogen-bond-forming capacities (0).…”
Section: Simulation Methodsmentioning
confidence: 99%
“…14,15 For example, in a recent work with AAMD simulation, 15 only one CTB, which was binding to a monolayer membrane composed of five GM1 molecules and a hundred phospholipids, was investigated. To handle the entire perspective of phenomena in complex materials, various coarse-grained (CG) methods, including coarse-grained Molecular Dynamics (CGMD) [16][17][18][19][20] and dissipative particle dynamics (DPD) simulations, [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38] have been developed. The CG model groups a few atoms into one mesoscopic pseudoatom and thus can reach the biologically relevant time and length scales efficiently.…”
Section: Introductionmentioning
confidence: 99%
“…In order to understand how hydrocarbons could affect membrane properties, a novel symmetrical membrane model system was simulated based on the pseudoatomistic Martini force field, with an approximately 4:1 mapping of heavy atoms to coarse-grained particles (Supplemental Fig. S9; López et al, 2013). The present model used 16 different lipid types corresponding to the four major groups present in cyanobacteria: phosphatidylglycerol (PG), monogalactosyl-diacylglycerol (MGDG), digalactosyl-diacylglycerol (DGDG), and sulfoquinovosyldiacylglycerol (SQDG), in a ratio as experimentally determined in Synechocystis (Supplemental Table S6; Sheng et al, 2011).…”
Section: The Absence Of Hydrocarbons Has Minor Effects On Photosynthementioning
confidence: 99%
“…The composition of the lipid tails in the in silico membranes was adapted to coarse-grained resolution, i.e. an approximately 4:1 mapping of heavy atoms to coarse-grained particles, using the Martini force field (López et al, 2013). The structure of the lipid head groups and representative tails included in the model are compared to their coarse-grained topologies in Supplemental Figure S9, where the mapping of the Martini bead types are shown and labeled.…”
Section: Modeling Of Synechocystis Membranesmentioning
confidence: 99%
“…The pressure of the systems also was controlled by weak coupling with a relaxation time of 1.0 ps. Parameters for the CG lipids, glycolipids, and CD3e chain were taken from the MARTINI model (17,18). The polarizable water model (19) was used in combination with the rest of the parameters.…”
Section: Computational Detailsmentioning
confidence: 99%