A Review of Recent Developments in Molecular Dynamics Simulations of the Photoelectrochemical Water Splitting Process
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Open Babel Documentation Release 2.3.1
Open Babel Documentation Release 2.3.1 Geoffrey R Hutchison Chris Morley Craig James Chris Swain Hans De Winter Tim Vandermeersch Noel M O’Boyle (Ed.) December 05, 2011 Contents 1 Introduction 3 1.1 Goals of the Open Babel project ..................................... 3 1.2 Frequently Asked Questions ....................................... 4 1.3 Thanks .................................................. 7 2 Install Open Babel 9 2.1 Install a binary package ......................................... 9 2.2 Compiling Open Babel .......................................... 9 3 obabel and babel - Convert, Filter and Manipulate Chemical Data 17 3.1 Synopsis ................................................. 17 3.2 Options .................................................. 17 3.3 Examples ................................................. 19 3.4 Differences between babel and obabel .................................. 21 3.5 Format Options .............................................. 22 3.6 Append property values to the title .................................... 22 3.7 Filtering molecules from a multimolecule file .............................. 22 3.8 Substructure and similarity searching .................................. 25 3.9 Sorting molecules ............................................ 25 3.10 Remove duplicate molecules ....................................... 25 3.11 Aliases for chemical groups ....................................... 26 4 The Open Babel GUI 29 4.1 Basic operation .............................................. 29 4.2 Options ................................................. -
GROMACS: Fast, Flexible, and Free
GROMACS: Fast, Flexible, and Free DAVID VAN DER SPOEL,1 ERIK LINDAHL,2 BERK HESS,3 GERRIT GROENHOF,4 ALAN E. MARK,4 HERMAN J. C. BERENDSEN4 1Department of Cell and Molecular Biology, Uppsala University, Husargatan 3, Box 596, S-75124 Uppsala, Sweden 2Stockholm Bioinformatics Center, SCFAB, Stockholm University, SE-10691 Stockholm, Sweden 3Max-Planck Institut fu¨r Polymerforschung, Ackermannweg 10, D-55128 Mainz, Germany 4Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 4, NL-9747 AG Groningen, The Netherlands Received 12 February 2005; Accepted 18 March 2005 DOI 10.1002/jcc.20291 Published online in Wiley InterScience (www.interscience.wiley.com). Abstract: This article describes the software suite GROMACS (Groningen MAchine for Chemical Simulation) that was developed at the University of Groningen, The Netherlands, in the early 1990s. The software, written in ANSI C, originates from a parallel hardware project, and is well suited for parallelization on processor clusters. By careful optimization of neighbor searching and of inner loop performance, GROMACS is a very fast program for molecular dynamics simulation. It does not have a force field of its own, but is compatible with GROMOS, OPLS, AMBER, and ENCAD force fields. In addition, it can handle polarizable shell models and flexible constraints. The program is versatile, as force routines can be added by the user, tabulated functions can be specified, and analyses can be easily customized. Nonequilibrium dynamics and free energy determinations are incorporated. Interfaces with popular quantum-chemical packages (MOPAC, GAMES-UK, GAUSSIAN) are provided to perform mixed MM/QM simula- tions. The package includes about 100 utility and analysis programs. -
Secondary Structure Propensities in Peptide Folding Simulations: a Systematic Comparison of Molecular Mechanics Interaction Schemes
Biophysical Journal Volume 97 July 2009 599–608 599 Secondary Structure Propensities in Peptide Folding Simulations: A Systematic Comparison of Molecular Mechanics Interaction Schemes Dirk Matthes and Bert L. de Groot* Department of Theoretical and Computational Biophysics, Computational Biomolecular Dynamics Group, Max-Planck-Institute for Biophysical Chemistry, Go¨ttingen, Germany ABSTRACT We present a systematic study directed toward the secondary structure propensity and sampling behavior in peptide folding simulations with eight different molecular dynamics force-field variants in explicit solvent. We report on the combi- national result of force field, water model, and electrostatic interaction schemes and compare to available experimental charac- terization of five studied model peptides in terms of reproduced structure and dynamics. The total simulation time exceeded 18 ms and included simulations that started from both folded and extended conformations. Despite remaining sampling issues, a number of distinct trends in the folding behavior of the peptides emerged. Pronounced differences in the propensity of finding prominent secondary structure motifs in the different applied force fields suggest that problems point in particular to the balance of the relative stabilities of helical and extended conformations. INTRODUCTION Molecular dynamics (MD) simulations are routinely utilized to that study, simulations of relatively short lengths were per- study the folding dynamics of peptides and small proteins as formed and the natively folded state was used as starting well as biomolecular aggregation. The critical constituents of point, possibly biasing the results (13). such molecular mechanics studies are the validity of the under- For folding simulations, such a systematic test has not lyingphysical models together with theassumptionsofclassical been carried out so far, although with growing computer dynamics and a sufficient sampling of the conformational power several approaches toward the in silico folding space. -
Using Constrained Density Functional Theory to Track Proton Transfers and to Sample Their Associated Free Energy Surface
Using Constrained Density Functional Theory to Track Proton Transfers and to Sample Their Associated Free Energy Surface Chenghan Li and Gregory A. Voth* Department of Chemistry, Chicago Center for Theoretical Chemistry, James Franck Institute, and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, 60637 Keywords: free energy sampling, proton transport, density functional theory, proton transfer ABSTRACT: The ab initio molecular dynamics (AIMD) and quantum mechanics/molecular mechanics (QM/MM) methods are powerful tools for studying proton solvation, transfer, and transport processes in various environments. However, due to the high computational cost of such methods, achieving sufficient sampling of rare events involving excess proton motion – especially when Grotthuss proton shuttling is involved – usually requires enhanced free energy sampling methods to obtain informative results. Moreover, an appropriate collective variable (CV) that describes the effective position of the net positive charge defect associated with an excess proton is essential for both tracking the trajectory of the defect and for the free energy sampling of the processes associated with the resulting proton transfer and transport. In this work, such a CV is derived from first principles using constrained density functional theory (CDFT). This CV is applicable to a broad array of proton transport and transfer processes as studied via AIMD and QM/MM simulation. 1 INTRODUCTION The accurate and efficient delineation of proton transport (PT) and -
Application of Aluminium Oxide Nanoparticles to Enhance Rheological and Filtration Properties of Water Based Muds at HPHT Condit
Application of Aluminium Oxide Nanoparticles to Enhance Rheological and Filtration Properties of Water Based Muds at HPHT Conditions Sean Robert Smith1, Roozbeh Rafati*1, Amin Sharifi Haddad1, Ashleigh Cooper2, Hossein Hamidi1 1School of Engineering, University of Aberdeen, Aberdeen, United Kingdom, AB24 3UE 2Baroid Drilling Fluid Laboratory, Halliburton, Dyce, Aberdeen, United Kingdom, AB21 0GN Abstract Drilling fluid is of one of the most important elements of any drilling operation, and through ever advancing technologies for deep water and extended reach drillings, enhancement of drilling fluids properties for such harsh conditions need to be investigated. Currently oil based fluids are used in these types of advanced drilling operations, as their performance at high pressure and high temperature conditions, and deviated wells are superior compared to water based fluids. However, the high costs associated with using them, and environmental concerns of such oil base fluids are drawbacks of them at the moment. In this study, we tried to find a solution for such issues through investigation on the potential application of a new nano-enhanced water base fluid for advanced drilling operations. We analysed the performance of water base drilling fluids that were formulated with two type of nanomaterials (aluminium oxide and silica) at both high and low pressure and temperature conditions (high: up to 120 oC and 500 psi, low: 23 oC and 14.7 psi). The results were compared with a base case drilling fluid with no nanomaterial, and they showed that there is an optimum concentration for aluminium oxide nanoparticles that can be used to improve the rheological and filtration properties of drilling fluids. -
Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development
processes Review Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development Outi M. H. Salo-Ahen 1,2,* , Ida Alanko 1,2, Rajendra Bhadane 1,2 , Alexandre M. J. J. Bonvin 3,* , Rodrigo Vargas Honorato 3, Shakhawath Hossain 4 , André H. Juffer 5 , Aleksei Kabedev 4, Maija Lahtela-Kakkonen 6, Anders Støttrup Larsen 7, Eveline Lescrinier 8 , Parthiban Marimuthu 1,2 , Muhammad Usman Mirza 8 , Ghulam Mustafa 9, Ariane Nunes-Alves 10,11,* , Tatu Pantsar 6,12, Atefeh Saadabadi 1,2 , Kalaimathy Singaravelu 13 and Michiel Vanmeert 8 1 Pharmaceutical Sciences Laboratory (Pharmacy), Åbo Akademi University, Tykistökatu 6 A, Biocity, FI-20520 Turku, Finland; ida.alanko@abo.fi (I.A.); rajendra.bhadane@abo.fi (R.B.); parthiban.marimuthu@abo.fi (P.M.); atefeh.saadabadi@abo.fi (A.S.) 2 Structural Bioinformatics Laboratory (Biochemistry), Åbo Akademi University, Tykistökatu 6 A, Biocity, FI-20520 Turku, Finland 3 Faculty of Science-Chemistry, Bijvoet Center for Biomolecular Research, Utrecht University, 3584 CH Utrecht, The Netherlands; [email protected] 4 Swedish Drug Delivery Forum (SDDF), Department of Pharmacy, Uppsala Biomedical Center, Uppsala University, 751 23 Uppsala, Sweden; [email protected] (S.H.); [email protected] (A.K.) 5 Biocenter Oulu & Faculty of Biochemistry and Molecular Medicine, University of Oulu, Aapistie 7 A, FI-90014 Oulu, Finland; andre.juffer@oulu.fi 6 School of Pharmacy, University of Eastern Finland, FI-70210 Kuopio, Finland; maija.lahtela-kakkonen@uef.fi (M.L.-K.); tatu.pantsar@uef.fi -
Ee9e60701e814784783a672a9
International Journal of Technology (2017) 4: 611‐621 ISSN 2086‐9614 © IJTech 2017 A PRELIMINARY STUDY ON SHIFTING FROM VIRTUAL MACHINE TO DOCKER CONTAINER FOR INSILICO DRUG DISCOVERY IN THE CLOUD Agung Putra Pasaribu1, Muhammad Fajar Siddiq1, Muhammad Irfan Fadhila1, Muhammad H. Hilman1, Arry Yanuar2, Heru Suhartanto1* 1Faculty of Computer Science, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia 2Faculty of Pharmacy, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia (Received: January 2017 / Revised: April 2017 / Accepted: June 2017) ABSTRACT The rapid growth of information technology and internet access has moved many offline activities online. Cloud computing is an easy and inexpensive solution, as supported by virtualization servers that allow easier access to personal computing resources. Unfortunately, current virtualization technology has some major disadvantages that can lead to suboptimal server performance. As a result, some companies have begun to move from virtual machines to containers. While containers are not new technology, their use has increased recently due to the Docker container platform product. Docker’s features can provide easier solutions. In this work, insilico drug discovery applications from molecular modelling to virtual screening were tested to run in Docker. The results are very promising, as Docker beat the virtual machine in most tests and reduced the performance gap that exists when using a virtual machine (VirtualBox). The virtual machine placed third in test performance, after the host itself and Docker. Keywords: Cloud computing; Docker container; Molecular modeling; Virtual screening 1. INTRODUCTION In recent years, cloud computing has entered the realm of information technology (IT) and has been widely used by the enterprise in support of business activities (Foundation, 2016). -
Physical-Chemical Properties of Complex Natural Fluids
Physical-chemical properties of complex natural fluids Vorgelegt von Diplom-Geochemiker Diplom-Mathematiker Sergey Churakov aus Moskau an der Fakultät VI - Bauingenieurwesen und Angewandte Geowissenschaften - der Technischen Universität Berlin zur Erlangung des akademischen Grades Doktor der Naturwissenschaften - Dr. rer. nat. - genehmigte Dissertation Berichter: Prof. Dr. G. Franz Berichter: Prof. Dr. T. M. Seward Berichter: PD. Dr. M. Gottschalk Tag der wissenschaftlichen Aussprache: 27. August 2001 Berlin 2001 D83 Abstract The dissertation is focused on the processes of transport and precipitation of metals in high temperature fumarole gases (a); thermodynamic properties of metamorphic fluids at high pressures (b); and the extent of hydrogen-bonding in supercritical water over wide range of densities and temperatures (c). (a) At about 10 Mpa, degassing of magmas is accompanied by formation of neary ‘dry’ salt melts as a second fluid phase, very strong fractionation of hydrolysis products between vapour and melts, as well as subvalence state of metals during transport processes. Based on chemical analyses of gases and condensates from high-temperature fumaroles of the Kudryavy volcano (i Iturup, Kuril Arc, Russia), a thermodynamic simulation of transport and deposition of ore- and rock-forming elements in high-temperature volcanic gases within the temperature range of 373-1373 K at 1 bar pressure have been performed. The results of the numerical simulations are consistent with field observations. Alkali and alkali earth metals, Ga, In, Tl, Fe, Co, Ni, Cu, and Zn are mainly transported as chlorides in the gas phase. Sulfide and chloride forms are characteristic of Ge, Sn, Pb, and Bi at intermediate and low temperatures. -
Impact of Solute Molecular Properties on the Organization of Nearby Water: a Cellular Automata Model
Digest Journal of Nanomaterials and Biostructures Vol. 7, No. 2, April - June 2012, p. 469 - 475 IMPACT OF SOLUTE MOLECULAR PROPERTIES ON THE ORGANIZATION OF NEARBY WATER: A CELLULAR AUTOMATA MODEL C. MIHAIa, A. VELEAb,e, N. ROMANc, L. TUGULEAa, N. I. MOLDOVANd** aDepartment of Electricity, Solid State and Biophysics, Faculty of Physics, University of Bucharest, Romania bNational Institute of Materials Physics, Bucharest - Magurele, Romania cDepartment of Computer Science, The Ohio State University - Lima, Ohio, USA dDepartment of Internal Medicine, Davis Heart and Lung Research Institute, The Ohio State University - Columbus, Ohio, USA e"Horia Hulubei” Foundation, Bucharest-Magurele, Romania The goal of this study was the creation of a model to understand how solute properties influence the structure of nearby water. To this end, we used a two-dimensional cellular automaton model of aqueous solutions. The probabilities of translocation of water and solute molecules to occupy nearby sites, and their momentary distributions (including that of vacancies), are considered indicative of solute molecular mechanics and hydrophatic character, and are reflected in water molecules packing, i.e. ‘organization’. We found that in the presence of hydrophilic solutes the fraction of water molecules with fewer neighbors was dominant, and inverse-proportionally dependent on their relative concentration. Hydrophobic molecules induced water organization, but this effect was countered by their own flexibility. These results show the emergence of cooperative effects in the manner the molecular milieu affects local organization of water, and suggests a mechanism through which molecular mechanics and crowding add a defining contribution to the way the solute impacts on nearby water. -
Introduction to GROMOS
CSCPB - Introduction to GROMOS Information: Prof. Dr. W.F. van Gunsteren Laboratory of Physical Chemistry, ETH-Z¨urich, 8092 Z¨urich, Switzerland Tel: +41-44-6325501 Fax: +41-44-6321039 e-mail: [email protected] Note: This MD tutorial is still under development. Please report any errors, incon- sistencies, obscurities or suggestions for improvements to [email protected]. Purpose: This molecular dynamics (MD) tutorial serves a number of objectives. These are to obtain experience with: • computer simulation in general • executing and understanding GROMOS • interpreting the results of computer simulations Version: SVN revision December 5, 2007 W.F.v.G., Z.G., J.D., A-P.K., C.C., N.S. 1 Required knowledge: Some knowledge about the following is required: • Computer programming languages: ability to read simple code (C++). • Computer operating system language of the machine on which the tutorial will be carried out: UNIX. Good books on MD are (Frenkel & Smit, 2002) and (Allen & Tildesley, 1987). 2 Contents 1 INTRODUCTION 4 1.1 The Lennard-Jones interaction . 4 1.2 Electrostatic interaction . 5 1.3 Periodic boundary conditions . 5 1.4 Newton’s equations of motion . 6 1.5 The leap-frog integration scheme . 7 1.6 Coupling to a temperature bath . 8 1.7 Pressure and the virial . 9 1.8 Center of mass motion . 9 1.9 Gaussian or Maxwellian distributions . 10 1.10 The radial distribution function g(r).................. 10 1.11 Units . 11 2 INSTALLATION OF GROMOS 12 2.1 System Requirements . 12 2.2 Getting and Installing GROMOSXX . 13 2.3 Getting and Installing GROMOS++ . -
Molecular Dynamics Study of the Stress–Strain Behavior of Carbon-Nanotube Reinforced Epon 862 Composites R
Materials Science and Engineering A 447 (2007) 51–57 Molecular dynamics study of the stress–strain behavior of carbon-nanotube reinforced Epon 862 composites R. Zhu a,E.Pana,∗, A.K. Roy b a Department of Civil Engineering, University of Akron, Akron, OH 44325, USA b Materials and Manufacturing Directorate, Air Force Research Laboratory, AFRL/MLBC, Wright-Patterson Air Force Base, OH 45433, USA Received 9 March 2006; received in revised form 2 August 2006; accepted 20 October 2006 Abstract Single-walled carbon nanotubes (CNTs) are used to reinforce epoxy Epon 862 matrix. Three periodic systems – a long CNT-reinforced Epon 862 composite, a short CNT-reinforced Epon 862 composite, and the Epon 862 matrix itself – are studied using the molecular dynamics. The stress–strain relations and the elastic Young’s moduli along the longitudinal direction (parallel to CNT) are simulated with the results being also compared to those from the rule-of-mixture. Our results show that, with increasing strain in the longitudinal direction, the Young’s modulus of CNT increases whilst that of the Epon 862 composite or matrix decreases. Furthermore, a long CNT can greatly improve the Young’s modulus of the Epon 862 composite (about 10 times stiffer), which is also consistent with the prediction based on the rule-of-mixture at low strain level. Even a short CNT can also enhance the Young’s modulus of the Epon 862 composite, with an increment of 20% being observed as compared to that of the Epon 862 matrix. © 2006 Elsevier B.V. All rights reserved. Keywords: Carbon nanotube; Epon 862; Nanocomposite; Molecular dynamics; Stress–strain curve 1. -
Qwikmd-Tutorial.Pdf
University of Illinois at Urbana-Champaign Beckman Institute for Advanced Science and Technology Theoretical and Computational Biophysics Group Computational Biophysics Workshop QwikMD - Easy Molecular Dynamics with NAMD and VMD Tutorial by Rafael C. Bernardi, Till Rudack, Joao V. Ribeiro, Angela Barragan, Muyun Lihan, Rezvan Shahoei and Yi Zhang July 12 2017 QwikMD Developers: Joao V. Ribeiro Rafael C. Bernardi Till Rudack A current version of this tutorial is available at http://www.ks.uiuc.edu/Training/Tutorials/ CONTENTS 2 Contents 1 Introduction 3 1.1 NAMD . 3 1.2 QwikMD . 4 2 Required programs 4 2.1 For Linux/Mac Users: . 5 2.2 For Windows Users: . 5 3 Getting Started 5 4 Installing the Required Programs 6 4.1 VMD . 6 4.2 QwikMD . 6 4.3 NAMD . 6 5 Running my First Molecular Dynamics Simulation 7 5.1 Ubiquitin in implicit solvent . 8 5.1.1 Preparing structures and starting simulations . 9 5.1.2 Analyzing during a Live Simulation . 11 5.2 Ubiquitin in a Water Box . 12 5.2.1 Starting a New Simulation . 12 5.2.2 Creating a Salt Solution . 13 5.3 Running your Simulation outside of QwikMD . 14 6 Tackling common scientific problems 15 6.1 Cancer mutation in Ras . 16 6.2 HIV protease . 19 6.3 Proton transport through a membrane by bactheriorhodopsin . 25 7 Steered Molecular Dynamics 31 7.1 Biomolecular interactions during protein unfolding . 31 7.1.1 Preparing a SMD system . 32 7.1.2 Analyzing during a Live Simulation . 33 7.2 Setting-up steered molecular dynamics to study protein complex interaction .