scholarly journals ExaViz: a flexible framework to analyse, steer and interact with molecular dynamics simulations

2014 ◽  
Vol 169 ◽  
pp. 119-142 ◽  
Author(s):  
Matthieu Dreher ◽  
Jessica Prevoteau-Jonquet ◽  
Mikael Trellet ◽  
Marc Piuzzi ◽  
Marc Baaden ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Molecular System ◽  
Data Set ◽  
System P ◽  
Alternative Approach ◽  
Long Time ◽  
Flexible Framework ◽  
Sheer Size ◽  
Dynamics Simulations

The amount of data generated by molecular dynamics simulations of large molecular assemblies and the sheer size and complexity of the systems studied call for new ways to analyse, steer and interact with such calculations. Traditionally, the analysis is performed off-line once the huge amount of simulation results have been saved to disks, thereby stressing the supercomputer I/O systems, and making it increasingly difficult to handle post-processing and analysis from the scientist's office. The ExaViz framework is an alternative approach developed to couple the simulation with analysis tools to process the data as close as possible to their source of creation, saving a reduced, more manageable and pre-processed data set to disk. ExaViz supports a large variety of analysis and steering scenarios. Our framework can be used for live sessions (simulations short enough to be fully followed by the user) as well as batch sessions (long-time batch executions). During interactive sessions, at runtime, the user can display plots from analysis, visualise the molecular system and steer the simulation with a haptic device. We also emphasise how a CAVE-like immersive environment could be used to leverage such simulations, offering a large display surface to view and intuitively navigate the molecular system.

scholarly journals Continuous Finite Element Methods of Molecular Dynamics Simulations

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Qiong Tang ◽  
Luohua Liu ◽  
Yujun Zheng
Keyword(s):  
Molecular Dynamics ◽  
Finite Element ◽  
Molecular Dynamics Simulations ◽  
Finite Element Methods ◽  
Molecular System ◽  
Classical Trajectory ◽  
Dynamics Simulation ◽  
Long Time ◽  
Motion Characteristics ◽  
Dynamics Simulations

Molecular dynamics simulations are necessary to perform very long integration times. In this paper, we discuss continuous finite element methods for molecular dynamics simulation problems. Our numerical results aboutABdiatomic molecular system andA2Btriatomic molecules show that linear finite element and quadratic finite element methods can better preserve the motion characteristics of molecular dynamics, that is, properties of energy conservation and long-term stability. So finite element method is also a reliable method to simulate long-time classical trajectory of molecular systems.

Unraveling cGAS catalytic mechanism upon DNA activation through molecular dynamics simulations

2021 ◽  
Author(s):  
Jordi Soler ◽  
Pedro Paiva ◽  
Maria Joao Joao Ramos ◽  
Pedro Alexandrino Fernandes ◽  
Marie Brut
Keyword(s):  
Molecular Dynamics ◽  
Dna Binding ◽  
Molecular Dynamics Simulations ◽  
Cyclic Gmp ◽  
Catalytic Mechanism ◽  
System P ◽  
Dynamics Simulations ◽  
Cyclic Dinucleotide

Cyclic GMP-AMP Synthase (cGAS) is activated upon DNA binding and catalyzes the synthesis of 2’,3’-cGAMP from GTP and ATP. This cyclic dinucleotide is a messenger that triggers the autoimmune system...

Thermal boundary conductance between Al films and GaN nanowires investigated with molecular dynamics

2014 ◽  
Vol 16 (20) ◽  
pp. 9403-9410 ◽  
Author(s):  
Xiao-wang Zhou ◽  
Reese E. Jones ◽  
Patrick E. Hopkins ◽  
Thomas E. Beechem
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Thermal Transport ◽  
Thermal Boundary Conductance ◽  
Gan Nanowires ◽  
System P ◽  
Dynamics Simulations ◽  
Important System

Using molecular dynamics simulations, we studied the thermal boundary conductance between GaN nanowires and Al films and showed how it may be possible to enhance interfacial thermal transport in this important system.

scholarly journals Molecular Dynamics Simulations of CO2Molecules in ZIF-11 Using Refined AMBER Force Field

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
W. Wongsinlatam ◽  
T. Remsungnen
Keyword(s):  
Molecular Dynamics ◽  
Force Field ◽  
Molecular Dynamics Simulations ◽  
Distribution Functions ◽  
Binding Energies ◽  
Hydrogen Atoms ◽  
Amber Force Field ◽  
Bonding Parameters ◽  
Flexible Framework ◽  
Dynamics Simulations

Nonbonding parameters of AMBER force field have been refined based onab initiobinding energies of CO2–[C7H5N2]−complexes. The energy and geometry scaling factors are obtained to be 1.2 and 0.9 forεandσparameters, respectively. Molecular dynamics simulations of CO2molecules in rigid framework ZIF-11, have then been performed using original AMBER parameters (SIM I) and refined parameters (SIM II), respectively. The site-site radial distribution functions and the molecular distribution plots simulations indicate that all hydrogen atoms are favored binding site of CO2molecules. One slight but notable difference is that CO2molecules are mostly located around and closer to hydrogen atom of imidazolate ring in SIM II than those found in SIM I. The Zn-Zn and Zn-N RDFs in free flexible framework simulation (SIM III) show validity of adapting AMBER bonding parameters. Due to the limitations of computing resources and times in this study, the results of flexible framework simulation using refined nonbonding AMBER parameters (SIM IV) are not much different from those obtained in SIM II.

A study on the structural features of SELK, an over-expressed protein in hepatocellular carcinoma, by molecular dynamics simulations in a lipid–water system

2016 ◽  
Vol 12 (10) ◽  
pp. 3209-3222 ◽  
Author(s):  
Andrea Polo ◽  
Stefano Guariniello ◽  
Giovanni Colonna ◽  
Gennaro Ciliberto ◽  
Susan Costantini
Keyword(s):  
Hepatocellular Carcinoma ◽  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Conformational Dynamics ◽  
Water System ◽  
Structural Features ◽  
System P ◽  
Dynamics Simulations

Terminal regions in SELK present different conformational dynamics being coupled complicatedly through the membrane.

Molecular Modeling Studies of Anti-Alzheimer Agents by QSAR, Molecular Docking and Molecular Dynamics Simulations Techniques

2020 ◽  
Vol 16 (7) ◽  
pp. 903-927 ◽  
Author(s):  
Rahman Abdizadeh ◽  
Farzin Hadizadeh ◽  
Tooba Abdizadeh
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Modeling ◽  
Molecular Dynamics Simulations ◽  
Data Set ◽  
Ache Inhibitors ◽  
Modeling Studies ◽  
Qsar Models ◽  
Molecular Modeling Studies ◽  
Dynamics Simulations

Background: Acetylcholinesterase (AChE), a serine hydrolase, is an important drug target in the treatment of Alzheimer's disease (AD). Thus, novel AChE inhibitors were designed and developed as potential drug candidates, for significant therapy of AD. Objective: In this work, molecular modeling studies, including CoMFA, CoMFA-RF, CoMSIA, HQSAR and molecular docking and molecular dynamics simulations were performed on a series of AChE inhibitors to get more potent anti-Alzheimer drugs. Methods: 2D/3D-QSAR models including CoMFA, CoMFA-RF, CoMSIA, and HQSAR methods were carried out on 40 pyrimidinylthiourea derivatives as data set by the Sybylx1.2 program. Molecular docking and molecular dynamics simulations were performed using the MOE software and the Sybyl program, respectively. Partial least squares (PLS) model as descriptors was used for QSAR model generation. Results: The CoMFA (q2, 0.629; r2ncv, 0.901; r2pred, 0.773), CoMFA-RF (q2, 0.775; r2ncv, 0.910; r2pred, 0.824), CoMSIA (q2, 0.754; r2ncv, 0.919; r2pred, 0.874) and HQSAR models (q2, 0.823; r2ncv, 0.976; r2pred, 0.854) for training and test set yielded significant statistical results. Conclusion: These QSAR models were excellent, robust and had good predictive capability. Contour maps obtained from the QSAR models were validated by molecular dynamics simulationassisted molecular docking study. The resulted QSAR models could be useful for the rational design of novel potent AChE inhibitors in Alzheimer's treatment.

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