scholarly journals From Microscale to Macroscale: Nine Orders of Magnitude for a Comprehensive Modeling of Hydrogels for Controlled Drug Delivery

Gels ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 28 ◽  
Author(s):  
Tommaso Casalini ◽  
Giuseppe Perale

Because of their inherent biocompatibility and tailorable network design, hydrogels meet an increasing interest as biomaterials for the fabrication of controlled drug delivery devices. In this regard, mathematical modeling can highlight release mechanisms and governing phenomena, thus gaining a key role as complementary tool for experimental activity. Starting from the seminal contribution given by Flory–Rehner equation back in 1943 for the determination of matrix structural properties, over more than 70 years, hydrogel modeling has not only taken advantage of new theories and the increasing computational power, but also of the methods offered by computational chemistry, which provide details at the fundamental molecular level. Simulation techniques such as molecular dynamics act as a “computational microscope” and allow for obtaining a new and deeper understanding of the specific interactions between the solute and the polymer, opening new exciting possibilities for an in silico network design at the molecular scale. Moreover, system modeling constitutes an essential step within the “safety by design” paradigm that is becoming one of the new regulatory standard requirements also in the field-controlled release devices. This review aims at providing a summary of the most frequently used modeling approaches (molecular dynamics, coarse-grained models, Brownian dynamics, dissipative particle dynamics, Monte Carlo simulations, and mass conservation equations), which are here classified according to the characteristic length scale. The outcomes and the opportunities of each approach are compared and discussed with selected examples from literature.

Soft Matter ◽  
2021 ◽  
Author(s):  
Rakesh K Vaiwala ◽  
Ganapathy Ayappa

A coarse-grained force field for molecular dynamics simulations of native structures of proteins in a dissipative particle dynamics (DPD) framework is developed. The parameters for bonded interactions are derived by...


2020 ◽  
Vol 28 (13) ◽  
pp. 115510 ◽  
Author(s):  
Israel González-Méndez ◽  
Rodrigo Aguayo-Ortiz ◽  
Kendra Sorroza-Martínez ◽  
José D. Solano ◽  
Pasquale Porcu ◽  
...  

Soft Matter ◽  
2018 ◽  
Vol 14 (16) ◽  
pp. 3151-3163 ◽  
Author(s):  
Sajjad Kavyani ◽  
Mitra Dadvar ◽  
Hamid Modarress ◽  
Sepideh Amjad-Iranagh

By coarse grained molecular dynamics, the effect of the size and hydrophilic/hydrophobic properties of the interior/exterior structures of the dendrimers in carbon nanotube–dendrimer composites has been studied, to find a stable composite with the capability to be used in drug delivery.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
P. M. Pieczywek ◽  
W. Płaziński ◽  
A. Zdunek

Abstract In this study we present an alternative dissipative particle dynamics (DPD) parametrization strategy based on data extracted from the united-atom molecular simulations. The model of the homogalacturonan was designed to test the ability of the formation of large-scale structures via hydrogen bonding in water. The extraction of coarse-grained parameters from atomistic molecular dynamics was achieved by means of the proposed molecule aggregation algorithm based on an iterative nearest neighbour search. A novel approach to a time-scale calibration scheme based on matching the average velocities of coarse-grained particles enabled the DPD forcefield to reproduce essential structural features of homogalacturonan molecular chains. The successful application of the proposed parametrization method allowed for the reproduction of the shapes of radial distribution functions, particle velocities and diffusivity of the atomistic molecular dynamics model using DPD force field. The structure of polygalacturonic acid molecules was mapped into the DPD force field by means of the distance and angular bond characteristics, which closely matched the MD results. The resulting DPD trajectories showed that randomly dispersed homogalacturonan chains had a tendency to aggregate into highly organized 3D structures. The final structure resembled a three-dimensional network created by tightly associated homogalacturonan chains organized into thick fibres.


RSC Advances ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 3745-3755 ◽  
Author(s):  
Mohammed Lemaalem ◽  
Nourddine Hadrioui ◽  
Abdelali Derouiche ◽  
Hamid Ridouane

In this work, coarse-grained molecular dynamics simulations are carried out in NPTH and NVTE statistical ensembles in order to study the structure and dynamics properties of liposomes coated with polyethylene glycol (PEG).


2009 ◽  
Vol 08 (01n02) ◽  
pp. 169-173
Author(s):  
J. H. KIM ◽  
S. H. CHOI ◽  
D. H. JUNG ◽  
C. S. CHO ◽  
Y. J. CHOI

Monoolein (2,3-dihydroxypropyl (Z)-octadec-9-enoate) is one of the monoacylglycerol and has been studied for various applications in food, pharmaceutical, and cosmetic industry. Those applications make use of the phase behavior of monoolein. In order to understand the lipid bilayer phase of monoolein in mesoscale, a coarse-grained model has been built and tested in this work. The monoolein molecule was represented by two hydrophilic heads and six hydrophobic tails. The three water molecules were also represented as one bead. For comparison, the atomistic model has also been used for molecular dynamics simulation on the lipid bilayer phase in isothermal-isobaric (NPT) ensemble. The interaction and bond bending potential parameters for dissipative particle dynamics (DPD) were obtained with molecular dynamics simulations on lipid bilayer in water. And we also obtained the interaction parameters of the coarse-grained model, which agree well with the atomistic model. We compared the simulated phases using the coarse-grained model with using the atomistic model. With these parameters, we successfully reproduced the lamella phase of monoolein in DPD simulations.


Author(s):  
M. Lemaalem ◽  
A. Derouiche ◽  
S. EL Fassi ◽  
H. Ridouane

Long polymer chains that mainly exhibit thermoplastic properties are recognized to demonstrate excellent thermal and mechanical features at the molecular level. For the purpose of facilitating its study, we present the results of a coarse-grained Molecular Dynamics (MD) and Dissipative Particle Dynamics (DPD) simulations under the Canonical ensemble (NVT) conditions. For each simulation method, the structure, static and dynamic properties were analyzed, with particular emphasis on the influence of density and temperature on the equilibrium of the polymer. We find, after correcting the Soft Repulsive Potential (SRP) parameters used in DPD method, that both simulation methods describe the polymer physics with the same accuracy. This proves that the DPD method can simplify the polymer simulation and can reproduce with the same precision the equilibrium obtained in the MD simulation.


Author(s):  
Radek Erban

Molecular dynamics (MD) simulations of ions (K + , Na + , Ca 2+ and Cl − ) in aqueous solutions are investigated. Water is described using the SPC/E model. A stochastic coarse-grained description for ion behaviour is presented and parametrized using MD simulations. It is given as a system of coupled stochastic and ordinary differential equations, describing the ion position, velocity and acceleration. The stochastic coarse-grained model provides an intermediate description between all-atom MD simulations and Brownian dynamics (BD) models. It is used to develop a multiscale method which uses all-atom MD simulations in parts of the computational domain and (less detailed) BD simulations in the remainder of the domain.


Author(s):  
Radek Erban

Three coarse-grained molecular dynamics (MD) models are investigated with the aim of developing and analysing multi-scale methods which use MD simulations in parts of the computational domain and (less detailed) Brownian dynamics (BD) simulations in the remainder of the domain. The first MD model is formulated in one spatial dimension. It is based on elastic collisions of heavy molecules (e.g. proteins) with light point particles (e.g. water molecules). Two three-dimensional MD models are then investigated. The obtained results are applied to a simplified model of protein binding to receptors on the cellular membrane. It is shown that modern BD simulators of intracellular processes can be used in the bulk and accurately coupled with a (more detailed) MD model of protein binding which is used close to the membrane.


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