scholarly journals A Generic Force Field for Simulating Native Protein Structures Using Dissipative Particle Dynamics

Soft Matter ◽  
2021 ◽  
Author(s):  
Rakesh K Vaiwala ◽  
Ganapathy Ayappa
Keyword(s):  
Molecular Dynamics ◽  
Force Field ◽  
Molecular Dynamics Simulations ◽  
Dissipative Particle Dynamics ◽  
Protein Structures ◽  
Particle Dynamics ◽  
Coarse Grained ◽  
Native Protein ◽  
Dynamics Simulations

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...

scholarly journals Correction: Dissipative particle dynamics and molecular dynamics simulations on mesoscale structure and proton conduction in a SPEEK/PVDF-g-PSSA membrane

RSC Advances ◽  
2017 ◽  
Vol 7 (66) ◽  
pp. 41787-41787
Author(s):  
Yue Ma ◽  
Yuxiang Wang ◽  
Xuejian Deng ◽  
Guanggang Zhou ◽  
Shah Khalid ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Proton Conduction ◽  
Mesoscale Structure ◽  
Dynamics Simulations

Correction for ‘Dissipative particle dynamics and molecular dynamics simulations on mesoscale structure and proton conduction in a SPEEK/PVDF-g-PSSA membrane’ by Yue Ma et al., RSC Adv., 2017, 7, 39676–39684.

scholarly journals Dissipative particle dynamics and molecular dynamics simulations on mesoscale structure and proton conduction in a SPEEK/PVDF-g-PSSA membrane

RSC Advances ◽  
2017 ◽  
Vol 7 (63) ◽  
pp. 39676-39684 ◽  
Author(s):  
Yue Ma ◽  
Yuxiang Wang ◽  
Xuejian Deng ◽  
Guanggang Zhou ◽  
Sha Khalid ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Proton Conduction ◽  
Small Particles ◽  
Cluster Network ◽  
Mesoscale Structure ◽  
Dynamics Simulations

The blend morphologies evolve from disordered small particles to a regular PVDF cluster network, which were connected by SPEEK cylindrical channels.

scholarly journals Molecular dynamics simulations of cholesterol-rich membranes using a coarse-grained force field for cyclic alkanes

2015 ◽  
Vol 143 (24) ◽  
pp. 243144 ◽  
Author(s):  
Christopher M. MacDermaid ◽  
Hemant K. Kashyap ◽  
Russell H. DeVane ◽  
Wataru Shinoda ◽  
Jeffery B. Klauda ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Force Field ◽  
Molecular Dynamics Simulations ◽  
Coarse Grained ◽  
Cyclic Alkanes ◽  
Dynamics Simulations

scholarly journals Refining amino acid hydrophobicity for dynamics simulation of membrane proteins

2017 ◽  
Author(s):  
Ronald D Hills, Jr
Keyword(s):  
Molecular Dynamics ◽  
Membrane Proteins ◽  
Force Field ◽  
Molecular Dynamics Simulations ◽  
Dynamics Simulation ◽  
Coarse Grained ◽  
Interfacial Behavior ◽  
Potentials Of Mean Force ◽  
Arginine Residues ◽  
Dynamics Simulations

Coarse-grained simulations enable the study of membrane proteins in the context of their native environment but require reliable parameters. The CgProt force field is assessed by comparing the potentials of mean force for sidechain insertion in a DOPC bilayer to results reported for atomistic molecular dynamics simulations. The reassignment of polar sidechain sites was found to improve the attractive interfacial behavior of tyrosine, phenylalanine and asparagine as well as charged lysine and arginine residues. The solvation energy at membrane depths of 0, 1.3 and 1.7 nm correlate with experimental partition coefficients in aqueous mixtures of cyclohexane, octanol and POPC, respectively, for sidechain analogs and Wimley-White peptides. These data points can be used to further discriminate between alternate force field parameters. Available partitioning data was also used to reparameterize the representation of the polar peptide backbone for non-alanine residues. The newly developed force field, CgProt 2.4, correctly predicts the global energy minimum in the potentials of mean force for insertion of the uncharged membrane-associated peptides LS3 and WALP23. CgProt will find application in molecular dynamics simulations of a variety of membrane protein systems.

scholarly journals Dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
P. M. Pieczywek ◽  
W. Płaziński ◽  
A. Zdunek
Keyword(s):  
Molecular Dynamics ◽  
Force Field ◽  
Large Scale ◽  
Dissipative Particle Dynamics ◽  
Three Dimensional ◽  
Structural Features ◽  
Particle Dynamics ◽  
Distribution Functions ◽  
Coarse Grained ◽  
Dynamics Model

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.

scholarly journals Selection of Near-Native Protein Structures by Means of Molecular Dynamics Simulations

2010 ◽  
Vol 98 (3) ◽  
pp. 196a
Author(s):  
Bogdan Barz ◽  
Qingguo Wang ◽  
Jingfen Zhang ◽  
Zhiquan He ◽  
Dong Xu ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Protein Structures ◽  
Native Protein ◽  
Dynamics Simulations ◽  
Selection Of

scholarly journals A Generic Force Field for Simulating Native Protein Structures Using Dissipative Particle Dynamics

2021 ◽  
Author(s):  
Rakesh Vaiwala ◽  
K. Ganapathy Ayappa
Keyword(s):  
Phase Space ◽  
Force Field ◽  
Dissipative Particle Dynamics ◽  
Protein Structures ◽  
Secondary Structures ◽  
Particle Dynamics ◽  
Coarse Grained ◽  
Atomistic Simulations ◽  
Radius Of Gyration ◽  
Protein Secondary Structures

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 mapping the bonds and angles for 20 amino acids onto target distributions obtained from fully atomistic simulations in explicit solvent. A dual-basin potential is introduced for stabilizing backbone angles, to cover a wide spectrum of protein secondary structures. The backbone dihedral potential enables folding of the protein from an unfolded initial state to the folded native structure. The proposed force field is validated by evaluating structural properties of several model peptides and proteins including the SARS-CoV-2 fusion peptide, consisting of α-helices, β-sheets, loops and turns. Detailed comparisons with fully atomistic simulations are carried out to assess the ability of the proposed force field to stabilize the different secondary structures present in proteins. The compact conformations of the native states were evident from the radius of gyration as well as the high intensity peaks of the root mean square deviation histograms, which were found to lie below 0.4 nm. The Ramachandran-like energy landscape on the phase space of backbone angles (θ) and dihedrals (ϕ) effectively captured the conformational phase space of α-helices at ~(ϕ=50°, θ=90°) and β-strands at ~(ϕ=±180°, θ=90°-120°). Furthermore, the residue-residue native contacts are also well reproduced by the proposed DPD model. The applicability of the model to multidomain complexes is assessed using lysozyme as well as a large α helical bacterial pore-forming toxin, cytolysin A. Our studies illustrate that the proposed force field is generic, and can potentially be extended for efficient in-silico investigations of membrane bound polypeptides and proteins using DPD simulations.

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