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CHARMM-GUI <i>Membrane Builder</i> for Complex Biological Membrane Simulations with Glycolipids and Lipoglycans

Journal of Chemical Theory and Computation · 2018 · Vol. 15(1) · pp. 775–786
Jumin LeeDhilon S. PatelJonas StåhleSang‐Jun ParkNathan R. KernSeonghoon KimJoon-Seong LeeXi ChengMiguel A. ValvanoOtto HolstYuriy A. KnirelYifei QiSunhwan JoJeffery B. KlaudaGöran WidmalmWonpil Im

Abstract

Glycolipids (such as glycoglycerolipids, glycosphingolipids, and glycosylphosphatidylinositol) and lipoglycans (such as lipopolysaccharides (LPS), lipooligosaccharides (LOS), mycobacterial lipoarabinomannan, and mycoplasma lipoglycans) are typically found on the surface of cell membranes and play crucial roles in various cellular functions. Characterizing their structure and dynamics at the molecular level is essential to understand their biological roles, but systematic generation of glycolipid and lipoglycan structures is challenging because of great variations in lipid structures and glycan sequences (i.e., carbohydrate types and their linkages). To facilitate the generation of all-atom glycolipid/LPS/LOS structures, we have developed Glycolipid Modeler and LPS Modeler in CHARMM-GUI ( http://www.charmm-gui.org ), a web-based interface that simplifies building of complex biological simulation systems. In addition, we have incorporated these modules into Membrane Builder so that users can readily build a complex symmetric or asymmetric biological membrane system with various glycolipids and LPS/LOS. These tools are expected to be useful in innovative and novel glycolipid/LPS/LOS modeling and simulation research by easing tedious and intricate steps in modeling complex biological systems and shall provide insight into structures, dynamics, and underlying mechanisms of complex glycolipid-/LPS-/LOS-containing biological membrane systems.

Carbohydrate Chemistry and SynthesisGlycosylation and Glycoproteins ResearchBacteriophages and microbial interactionsGlycolipidMembraneGlycanChemistryComputational biologyComputer scienceBiochemistryBiologyGlycoprotein

MeSH terms

Bacterial ProteinsCell MembraneComputer SimulationEscherichia coliGlycolipidsHumansLipopolysaccharidesUser-Computer InterfaceCampylobacter jejuniGlycosylphosphatidylinositolsCD59 AntigensMolecular Dynamics Simulation

Funding

  • National Science Foundation
  • Vetenskapsrådet
  • National Institutes of Health
  • National Institute of General Medical Sciences
  • Office of International Science and Engineering
  • Division of Molecular and Cellular Biosciences
  • Division of Biological Infrastructure
Citations
650
FWCI
18.27
field-weighted impact
References
98
Percentile
100%
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References
CHARMM-GUI<i>Membrane Builder</i>toward realistic biological membrane simulations
Journal of Computational Chemistry · 2014 · 2,673 citations
Fast Parallel Algorithms for Short-Range Molecular Dynamics
Journal of Computational Physics · 1995 · 43,820 citations
CHARMM‐GUI: A web‐based graphical user interface for CHARMM
Journal of Computational Chemistry · 2008 · 9,266 citations
Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types
The Journal of Physical Chemistry B · 2010 · 4,632 citations
The Amber biomolecular simulation programs
Journal of Computational Chemistry · 2005 · 9,470 citations
CHARMM: The biomolecular simulation program
Journal of Computational Chemistry · 2009 · 8,960 citations
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