GROMACS Introductory Tutorial
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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 ................................................. -
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). -
Multinet for Openvms Messages, Logicals, and Decnet Applications
MultiNet for OpenVMS Messages, Logicals, and DECnet Applications Part Number: N-0703-54-NN-A November 2011 This guide lists common messages encountered when running MultiNet as well as a comprehensive list of MultiNet logicals with descriptions, and information on using TCP/IP Services for DECnet Applications. Revision/Update: This manual supersedes the MultiNet Messages and Logicals Reference, V5.3 Operating System/Version: VAX/VMS V5.5-2 or later, OpenVMS VAX V6.2 or later, OpenVMS Alpha V6.2 or later, OpenVMS I64 V8.2 or later Software Version: MultiNet V5.4 Process Software Framingham, Massachusetts USA The material in this document is for informational purposes only and is subject to change without notice. It should not be construed as a commitment by Process Software. Process Software assumes no responsibility for any errors that may appear in this document. Use, duplication, or disclosure by the U.S. Government is subject to restrictions as set forth in subparagraph (c)(1)(ii) of the Rights in Technical Data and Computer Software clause at DFARS 252.227-7013. The following third-party software may be included with your product and will be subject to the software license agreement. Network Time Protocol (NTP). Copyright © 1992-2004 by David L. Mills. The University of Delaware makes no representations about the suitability of this software for any purpose. Point-to-Point Protocol. Copyright © 1989 by Carnegie-Mellon University. All rights reserved. The name of the University may not be used to endorse or promote products derived from this software without specific prior written permission. Redistribution and use in source and binary forms are permitted provided that the above copyright notice and this paragraph are duplicated in all such forms and that any documentation, advertising materials, and other materials related to such distribution and use acknowledge that the software was developed by Carnegie Mellon University. -
Grace FAQ (For Grace-5.1.23)
Grace FAQ (for Grace-5.1.23) by the Grace Team 12.06.2010 This document contains Frequently Asked Questions (FAQ) about Grace, a WYSIWYG 2D plotting tool for scientic data. (A German translation of this document, made by Tobias Brinkert, is available here: Grace FAQ <http://www.semibyte.de/dokuwiki/informatik:linux:xmgrace:grace_faq> .) Contents 1 General Questions 5 1.1 What is Grace?...........................................5 1.2 Where can I get Grace?.......................................5 1.3 Where can I get the most recent information about Grace?...................5 1.4 What is the dierence between Xmgr and Grace?........................5 1.5 Why did you change the name?..................................6 1.6 Is Grace free?............................................6 1.7 Who wrote Grace?.........................................6 1.8 Is there a PostscriptjLaTeXjHTMLjSGML version of this document?.............6 2 Getting Help 6 2.1 Are there any books about Grace?.................................6 2.2 Is there a User's Guide available for Grace?...........................7 2.3 Is there a Tutorial available for Grace?..............................7 2.4 Where do I get support for Grace?................................7 2.5 Is there a newsgroup devoted to Grace?..............................7 2.6 Is there a mailing list for Grace?..................................7 2.7 Is there a forum for Grace?.....................................8 3 Providing Help: Finding and Reporting Bugs8 3.1 I think I found a bug in Grace! How do I report -
Bringing Open Source to Drug Discovery
Bringing Open Source to Drug Discovery Chris Swain Cambridge MedChem Consulting Standing on the shoulders of giants • There are a huge number of people involved in writing open source software • It is impossible to acknowledge them all individually • The slide deck will be available for download and includes 25 slides of details and download links – Copy on my website www.cambridgemedchemconsulting.com Why us Open Source software? • Allows access to source code – You can customise the code to suit your needs – If developer ceases trading the code can continue to be developed – Outside scrutiny improves stability and security What Resources are available • Toolkits • Databases • Web Services • Workflows • Applications • Scripts Toolkits • OpenBabel (htttp://openbabel.org) is a chemical toolbox – Ready-to-use programs, and complete programmer's toolkit – Read, write and convert over 110 chemical file formats – Filter and search molecular files using SMARTS and other methods, KNIME add-on – Supports molecular modeling, cheminformatics, bioinformatics – Organic chemistry, inorganic chemistry, solid-state materials, nuclear chemistry – Written in C++ but accessible from Python, Ruby, Perl, Shell scripts… Toolkits • OpenBabel • R • CDK • OpenCL • RDkit • SciPy • Indigo • NumPy • ChemmineR • Pandas • Helium • Flot • FROWNS • GNU Octave • Perlmol • OpenMPI Toolkits • RDKit (http://www.rdkit.org) – A collection of cheminformatics and machine-learning software written in C++ and Python. – Knime nodes – The core algorithms and data structures are written in C ++. Wrappers are provided to use the toolkit from either Python or Java. – Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity searches. -
Manual-2018.Pdf
GROMACS Groningen Machine for Chemical Simulations Reference Manual Version 2018 GROMACS Reference Manual Version 2018 Contributions from Emile Apol, Rossen Apostolov, Herman J.C. Berendsen, Aldert van Buuren, Pär Bjelkmar, Rudi van Drunen, Anton Feenstra, Sebastian Fritsch, Gerrit Groenhof, Christoph Junghans, Jochen Hub, Peter Kasson, Carsten Kutzner, Brad Lambeth, Per Larsson, Justin A. Lemkul, Viveca Lindahl, Magnus Lundborg, Erik Marklund, Pieter Meulenhoff, Teemu Murtola, Szilárd Páll, Sander Pronk, Roland Schulz, Michael Shirts, Alfons Sijbers, Peter Tieleman, Christian Wennberg and Maarten Wolf. Mark Abraham, Berk Hess, David van der Spoel, and Erik Lindahl. c 1991–2000: Department of Biophysical Chemistry, University of Groningen. Nijenborgh 4, 9747 AG Groningen, The Netherlands. c 2001–2018: The GROMACS development teams at the Royal Institute of Technology and Uppsala University, Sweden. More information can be found on our website: www.gromacs.org. iv Preface & Disclaimer This manual is not complete and has no pretention to be so due to lack of time of the contributors – our first priority is to improve the software. It is worked on continuously, which in some cases might mean the information is not entirely correct. Comments on form and content are welcome, please send them to one of the mailing lists (see www.gromacs.org), or open an issue at redmine.gromacs.org. Corrections can also be made in the GROMACS git source repository and uploaded to gerrit.gromacs.org. We release an updated version of the manual whenever we release a new version of the software, so in general it is a good idea to use a manual with the same major and minor release number as your GROMACS installation. -
GROMACS Tutorial Lysozyme in Water
Free Energy Calculations: Methane in Water 1/20 GROMACS Tutorial Lysozyme in water Based on the tutorial created by Justin A. Lemkul, Ph.D. Department of Pharmaceutical Sciences University of Maryland, Baltimore Adapted by Atte Sillanpää, CSC - IT Center for Science Ltd. This example will guide a new user through the process of setting up a simulation system containing a protein (lysozyme) in a box of water, with ions. Each step will contain an explanation of input and output, using typical settings for general use. This tutorial assumes you are using a GROMACS version in the 2018 series. Step One: Prepare the Topology Some GROMACS Basics With the release of version 5.0 of GROMACS, all of the tools are essentially modules of a binary named "gmx" This is a departure from previous versions, wherein each of the tools was invoked as its own command. To get help information about any GROMACS module, you can invoke either of the following commands: Free Energy Calculations: Methane in Water 2/20 gmx help (module) or gmx (module) -h where (module) is replaced by the actual name of the command you're trying to issue. Information will be printed to the terminal, including available algorithms, options, required file formats, known bugs and limitations, etc. For new users of GROMACS, invoking the help information for common commands is a great way to learn about what each command can do. Now, on to the fun stuff! Lysozyme Tutorial We must download the protein structure file with which we will be working. For this tutorial, we will utilize hen egg white lysozyme (PDB code 1AKI). -
Psomi Workflow
PSOMI WORKFLOW This workflow contains steps for analysis interaction between small ligand and protein by using ChemSketch, Open Babel, PRODRG and Gromacs on HPC cluster. Workflow uses complex of small ligand and protein as input file (in .gro format), and gives trajectories (.trr extension) that further can be analysed in VMD or similar software. In this example we examined interaction between small ligand (2R,3R,4R,5S)-5-hidroksi-5-((S)-5- metilen-2-okso-1,3-dioksolan-4-il)pentan-1,2,3,4-tetraacetat and protein lysozyme. ORTEP diagram of small molecule is shown in Fig 1. Figure 1. ORTEP diagram of 2R,3R,4R,5S)-5-hidroksi-5-((S)-5-metilen-2-okso-1,3-dioksolan-4- il)pentan-1,2,3,4-tetraacetat First, freeware software ChemSketch is used to draw the molecule and make 3D geometric optimisation. The resulting molecule (Fig. 2) is saved in .mol extension. H O O H H H O H O O O H H O H H H H H H H H O O O H HH H H O O H H Figure 2. Small ligand in ChemScetch After obtaining the 3D molecule in .mol fomat, the Open Babel is used for conversion to .pdb format. The resulting molecule, visualised in VMD, is shown in Fig. 3. Figure 3. Visualisation of ligand in VMD Finally, topology of ligand is generated by using online software PRODRG. The output "The GROMOS87/GROMACS coordinate file (polar/aromatic hydrogens)" is saved in file called "molecule.gro" and "The GROMACS topology" into a file called "drg.itp". -
VMD User's Guide
VMD User’s Guide Version 1.9.4a48 October 13, 2020 NIH Biomedical Research Center for Macromolecular Modeling and Bioinformatics Theoretical and Computational Biophysics Group1 Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign 405 N. Mathews Urbana, IL 61801 http://www.ks.uiuc.edu/Research/vmd/ Description The VMD User’s Guide describes how to run and use the molecular visualization and analysis program VMD. This guide documents the user interfaces displaying and grapically manipulating molecules, and describes how to use the scripting interfaces for analysis and to customize the behavior of VMD. VMD development is supported by the National Institutes of Health grant numbers NIH P41- GM104601. 1http://www.ks.uiuc.edu/ Contents 1 Introduction 11 1.1 Contactingtheauthors. ....... 12 1.2 RegisteringVMD.................................. 12 1.3 CitationReference ............................... ...... 12 1.4 Acknowledgments................................. ..... 13 1.5 Copyright and Disclaimer Notices . .......... 13 1.6 For information on our other software . .......... 15 2 Hardware and Software Requirements 17 2.1 Basic Hardware and Software Requirements . ........... 17 2.2 Multi-core CPUs and GPU Acceleration . ......... 17 2.3 Parallel Computing on Clusters and Supercomputers . .............. 18 3 Tutorials 19 3.1 RapidIntroductiontoVMD. ...... 19 3.2 Viewing a molecule: Myoglobin . ........ 19 3.3 RenderinganImage ................................ 21 3.4 AQuickAnimation................................. 21 3.5 An Introduction to Atom Selection . ......... 22 3.6 ComparingTwoStructures . ...... 22 3.7 SomeNiceRepresenations . ....... 23 3.8 Savingyourwork.................................. 24 3.9 Tracking Script Command Versions of the GUI Actions . ............ 24 4 Loading A Molecule 26 4.1 Notes on common molecular file formats . ......... 26 4.2 Whathappenswhenafileisloaded? . ....... 27 4.3 Babelinterface ................................. -
Molecular Dynamics on Web Tutorial, V1.0
Molecular Dynamics on Web Tutorial, v1.0 MDWeb Tutorial [Table of Contents] Table of Contents MDWeb Setup Tutorial.............................................................................................................. 3 1.- Registration ......................................................................................................................... 3 2.- Starting Project ................................................................................................................... 4 3.- Checking the Structure ....................................................................................................... 5 4.- Structure Setup.................................................................................................................... 7 5.- Waiting Results ................................................................................................................... 9 6.- Getting Results ................................................................................................................. 11 MDWeb Running Simulation Tutorial ................................................................................... 12 1.- Generating Needed Files .................................................................................................. 12 2.- Downloading and Extracting Files ................................................................................... 13 3.- Preparing Downloaded Files ............................................................................................ 15 4.- Launching -
Gromacs User Manual
GROMACS USER MANUAL Groningen Machine for Chemical Simulations Version 3.1 GROMACS USER MANUAL Version 3.1 David van der Spoel Aldert R. van Buuren Emile Apol Pieter J. Meulenhoff D. Peter Tieleman Alfons L.T.M. Sijbers Berk Hess K. Anton Feenstra Erik Lindahl Rudi van Drunen Herman J.C. Berendsen c 1991–2002 Department of Biophysical Chemistry, University of Groningen. Nijenborgh 4, 9747 AG Groningen, The Netherlands. iv Preface & Disclaimer This manual is not complete and has no pretention to be so due to lack of time of the contributors – our first priority is to improve the software. It is meant as a source of information and references for the GROMACS user. It covers both the physical background of MD simulations in general and details of the GROMACS software in particular. The manual is continuously being worked on, which in some cases might mean the information is not entirely correct. When citing this document in any scientific publication please refer to it as: D. van der Spoel, A. R. van Buuren, E. Apol, P. J. Meulenhoff, D. P. Tieleman, A. L. T. M. Sijbers, B. Hess, K. A. Feenstra, E. Lindahl, R. van Drunen and H. J. C. Berendsen, Gromacs User Manual version 3.1, Nijenborgh 4, 9747 AG Groningen, The Netherlands. Internet: www.gromacs.org (2002) or, if you use BibTeX, you can directly copy the following: @Manual{gmx31, title = "Gromacs {U}ser {M}anual version 3.1", author = "David van der Spoel and Aldert R. van Buuren and Emile Apol and Pieter J. Meulen\-hoff and D.