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Journal ArticleDOI

Computational Lipidomics with insane: A Versatile Tool for Generating Custom Membranes for Molecular Simulations

TLDR
A comprehensive method for building membrane containing systems, characterized by simplicity and versatility, and a survey of properties for a large range of lipids as a start of a computational lipidomics project.
Abstract
For simulations of membranes and membrane proteins, the generation of the lipid bilayer is a critical step in the setup of the system. Membranes comprising multiple components pose a particular challenge, because the relative abundances need to be controlled and the equilibration of the system may take several microseconds. Here we present a comprehensive method for building membrane containing systems, characterized by simplicity and versatility. The program uses preset, coarse-grain lipid templates to build the membrane, and also allows on-the-fly generation of simple lipid types by specifying the headgroup, linker, and lipid tails on the command line. The resulting models can be equilibrated, after which a relaxed atomistic model can be obtained by reverse transformation. For multicomponent membranes, this provides an efficient means for generating equilibrated atomistic models. The method is called insane, an acronym for INSert membrANE. The program has been made available, together with the complemen...

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Citations
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Journal ArticleDOI

Computational Modeling of Realistic Cell Membranes

TL;DR: The state of the art in the field of realistic membrane simulations is reviewed and the current limitations and challenges ahead are discussed.
Journal ArticleDOI

Martini straight: Boosting performance using a shorter cutoff and GPUs

TL;DR: It is concluded that the newly proposed straight cutoff approach is a viable alternative to the standard shifted potentials used in Martini, offering significant speedup even in the absence of GPUs.
Journal ArticleDOI

CHARMM-GUI Membrane Builder for Complex Biological Membrane Simulations with Glycolipids and Lipoglycans.

TL;DR: 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.
Journal ArticleDOI

CHARMM-GUI Martini Maker for Coarse-Grained Simulations with the Martini Force Field

TL;DR: CHARMM-GUI Martini Maker is developed, which supports 82 lipid types and different flavors of the Martini force field, and is expected to be a useful tool for modeling large, complicated biomolecular systems in a user-friendly way.
References
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Journal ArticleDOI

Molecular dynamics with coupling to an external bath.

TL;DR: In this paper, a method is described to realize coupling to an external bath with constant temperature or pressure with adjustable time constants for the coupling, which can be easily extendable to other variables and to gradients, and can be applied also to polyatomic molecules involving internal constraints.
Journal ArticleDOI

Scalable molecular dynamics with NAMD

TL;DR: NAMD as discussed by the authors is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems that scales to hundreds of processors on high-end parallel platforms, as well as tens of processors in low-cost commodity clusters, and also runs on individual desktop and laptop computers.
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Polymorphic transitions in single crystals: A new molecular dynamics method

TL;DR: In this paper, a new Lagrangian formulation is introduced to make molecular dynamics (MD) calculations on systems under the most general externally applied, conditions of stress, which is well suited to the study of structural transformations in solids under external stress and at finite temperature.
Journal ArticleDOI

Canonical sampling through velocity rescaling

TL;DR: In this paper, the authors present a new molecular dynamics algorithm for sampling the canonical distribution, where the velocities of all the particles are rescaled by a properly chosen random factor.
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