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The Martini Model in Materials Science.

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TLDR
In this article, the main applications to date of the Martini model in materials science are highlighted, and a perspective for the future developments in this field is given, particularly in light of recent developments such as the new version of the model, Martini 3.
Abstract
The Martini model, a coarse-grained force field initially developed with biomolecular simulations in mind, has found an increasing number of applications in the field of soft materials science. The model's underlying building block principle does not pose restrictions on its application beyond biomolecular systems. Here, the main applications to date of the Martini model in materials science are highlighted, and a perspective for the future developments in this field is given, particularly in light of recent developments such as the new version of the model, Martini 3.

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Two decades of Martini: Better beads, broader scope

TL;DR: The Martini model as mentioned in this paper is a coarse-grained force field for molecular dynamics simulations, originally developed for lipid-based systems by the groups of Marrink and Tieleman, has over the years been extended as a community effort to the current level of a general-purpose force field.
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Polyply; a python suite for facilitating simulations of macromolecules and nanomaterials

TL;DR: The polyply software suite as mentioned in this paper leverages a multi-scale graph matching algorithm designed to generate parameters quickly and for arbitrarily complex polymeric topologies, and a generic multiscale random walk protocol capable of setting up complex systems efficiently and independent of the target force-field or model resolution.
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Theory and Practice of Coarse-Grained Molecular Dynamics of Biologically Important Systems

TL;DR: In this article, the physical basis of coarse-grained molecular dynamics, the coarsegrained force fields, the equations of motion and the respective numerical integration algorithms, and selected practical applications are discussed.
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Nonconverged Constraints Cause Artificial Temperature Gradients in Lipid Bilayer Simulations

TL;DR: In this paper, the authors show that a significant temperature difference between molecule types can artificially arise in CG MD simulations with the standard Martini simulation parameters in GROMACS, and demonstrate that the underlying reason for this behavior is the presence of highly constrained moieties, such as cholesterol.
References
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Journal ArticleDOI

Understanding selective molecular recognition in integrated carbon nanotube–polymer sensors by simulating physical analyte binding on carbon nanotube–polymer scaffolds

TL;DR: The results indicate great success of the physical adsorption-based model in explaining the ranking in sensor selectivities, and the combined framework presented here can be used to screen and select polymers that can potentially be used for creating synthetic molecular recognition motifs.
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Structural Control of Charge Storage Capacity to Achieve 100% Doping in Vapor Phase-Polymerized PEDOT/Tosylate

TL;DR: Experiments show that this high doping level is attainable when the PEDOT structure is weakly crystalline with (relatively) large crystallite domains, and is demonstrated to be plausible by molecular dynamics simulations and density functional theory calculations.
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Self-Assembly Behavior of Amphiphilic Janus Dendrimers in Water: A Combined Experimental and Coarse-Grained Molecular Dynamics Simulation Approach

TL;DR: The results of this study establish a relationship between the molecular structure of the JD and the properties of its aggregates in water, which could be relevant for the design of novel JDs with tailored assemblies suitable for drug delivery systems.
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Molecular insights into the self-assembly of short amphiphilic peptides FmDn and FmKn

TL;DR: This simulation study provides molecular insights into the assembly process and mechanism of short peptides, and it could facilitate the development of new peptides with desired morphologies.
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Adsorption of plasma proteins onto PEGylated single-walled carbon nanotubes: The effects of protein shape, PEG size and grafting density

TL;DR: These findings agree with experiments showing less adsorption of proteins on the SWCNT functionalized with larger and more PEGs, and support experimental suggestions regarding the dependence of protein adsor adaptation on protein shape and the mushroom-brush transition of PEG conformation.
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What is annni model in materials science?

The Martini model is a coarse-grained force field used in materials science, with applications beyond biomolecular systems.