Pymol Tutorial
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Mercury 2.4 User Guide and Tutorials 2011 CSDS Release
Mercury 2.4 User Guide and Tutorials 2011 CSDS Release Copyright © 2010 The Cambridge Crystallographic Data Centre Registered Charity No 800579 Conditions of Use The Cambridge Structural Database System (CSD System) comprising all or some of the following: ConQuest, Quest, PreQuest, Mercury, (Mercury CSD and Materials module of Mercury), VISTA, Mogul, IsoStar, SuperStar, web accessible CSD tools and services, WebCSD, CSD Java sketcher, CSD data file, CSD-UNITY, CSD-MDL, CSD-SDfile, CSD data updates, sub files derived from the foregoing data files, documentation and command procedures (each individually a Component) is a database and copyright work belonging to the Cambridge Crystallographic Data Centre (CCDC) and its licensors and all rights are protected. Use of the CSD System is permitted solely in accordance with a valid Licence of Access Agreement and all Components included are proprietary. When a Component is supplied independently of the CSD System its use is subject to the conditions of the separate licence. All persons accessing the CSD System or its Components should make themselves aware of the conditions contained in the Licence of Access Agreement or the relevant licence. In particular: • The CSD System and its Components are licensed subject to a time limit for use by a specified organisation at a specified location. • The CSD System and its Components are to be treated as confidential and may NOT be disclosed or re- distributed in any form, in whole or in part, to any third party. • Software or data derived from or developed using the CSD System may not be distributed without prior written approval of the CCDC. -
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 ................................................. -
Real-Time Pymol Visualization for Rosetta and Pyrosetta
Real-Time PyMOL Visualization for Rosetta and PyRosetta Evan H. Baugh1, Sergey Lyskov1, Brian D. Weitzner1, Jeffrey J. Gray1,2* 1 Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, United States of America, 2 Program in Molecular Biophysics, The Johns Hopkins University, Baltimore, Maryland, United States of America Abstract Computational structure prediction and design of proteins and protein-protein complexes have long been inaccessible to those not directly involved in the field. A key missing component has been the ability to visualize the progress of calculations to better understand them. Rosetta is one simulation suite that would benefit from a robust real-time visualization solution. Several tools exist for the sole purpose of visualizing biomolecules; one of the most popular tools, PyMOL (Schro¨dinger), is a powerful, highly extensible, user friendly, and attractive package. Integrating Rosetta and PyMOL directly has many technical and logistical obstacles inhibiting usage. To circumvent these issues, we developed a novel solution based on transmitting biomolecular structure and energy information via UDP sockets. Rosetta and PyMOL run as separate processes, thereby avoiding many technical obstacles while visualizing information on-demand in real-time. When Rosetta detects changes in the structure of a protein, new coordinates are sent over a UDP network socket to a PyMOL instance running a UDP socket listener. PyMOL then interprets and displays the molecule. This implementation also allows remote execution of Rosetta. When combined with PyRosetta, this visualization solution provides an interactive environment for protein structure prediction and design. Citation: Baugh EH, Lyskov S, Weitzner BD, Gray JJ (2011) Real-Time PyMOL Visualization for Rosetta and PyRosetta. -
Instructions on Making Pdf Files Containing 3D
Detailed Instructions for Creating an Embedded Virtual 3-D Image of a Molecule Creating the documents with embedded virtual three-dimensional images may be done fairly easily by repeating the following procedures. Once you have embedded your first image, the use of that image is limited only by your imagination. The following instructions are written in extreme detail with annotated screen shots of the four programs you will use throughout for clarification. Once you are familiar with the procedure embedding a structure of interest should take less than 20 min., limited only by the speed with which you can click a mouse. In practice most of our embedded 3-D images have been created by our undergraduate student collaborators. Step 1. Creating a 2-D image in ChemSketch Using ACD ChemSketch 11.0 Freeware (http://www.acdlabs.com/download/chemsk_download.html ) a two dimensional structure may be drawn as per your specific need (see Figure 1). Once the molecule is drawn, optimized it by clicking the 3-D optimization button then save as an MDL molfile (*.mol). Figure 1: A screen shot of acetone drawn with ChemSketch after 3-D optimization. Step 2. Converting the *.mol file to a *.pdb file using Open Babel The file can now be converted from a .mol file to a .pdb file, Protein Data Bank format, to be properly accessed with the Adobe Acrobat 3D Toolkit 8.1.0. The file conversion is done using Open Babel Graphical User Interface v2.2.0 (openbabel.sourceforge.net) under default settings. Step by step instructions: A. -
A Nano-Visualization Software for Education and Research
A Nano-Visualization Software for Education and Research Lillian C. Oetting Department of Computer Science, Stanford University, Stanford, CA 94305 USA West High School, Iowa City, IA 52246 USA Tehseen Z. Raza Department of Physics and Astronomy, University of Iowa, Iowa City, IA 52242 USA Hassan Raza Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242 USA Centre for Fundamental Research, Islamabad, Pakistan Abstract: We report the development of a user-friendly nano-visualization software program which can acquaint high-school students with nanotechnology. The visual introduction to atoms and molecules, which are the building blocks of this technology, is an effective way to introduce the key concepts in this area. The software’s graphical user interface enables multidimensional atomic visualization by using ball and stick schematics. Additionally, the software provides the option of wavefunction visualization for arbitrary nanomaterials and nanostructures by using extended Hückel theory. The software is instructive, application oriented and may be useful not only in high school education but also for the undergraduate research and teaching. 1 I. Introduction: The ability to accurately depict atomic, molecular and electronic structures has been a key factor in the advancement of nanotechnology. In this context, it is imperative to provide teaching and research platforms to motivate students towards this novel technology [1-3], while keeping the societal implications in perspective [4]. Nano-visualization appeals well due to its simplistic, yet elegant approach towards the visual representation of detailed concepts about quantum mechanics, quantum chemistry and linear algebra. Additionally, the conflux of quantum mechanics, numerical computation, graphical design, and computer programming gives exposure to the multi-disciplinary aspect of this technology [5-8]. -
Getting Started in Jmol
Getting Started in Jmol Part of the Jmol Training Guide from the MSOE Center for BioMolecular Modeling Interactive version available at http://cbm.msoe.edu/teachingResources/jmol/jmolTraining/started.html Introduction Physical models of proteins are powerful tools that can be used synergistically with computer visualizations to explore protein structure and function. Although it is interesting to explore models and visualizations created by others, it is much more engaging to create your own! At the MSOE Center for BioMolecular Modeling we use the molecular visualization program Jmol to explore protein and molecular structures in fully interactive 3-dimensional displays. Jmol a free, open source molecular visualization program used by students, educators and researchers internationally. The Jmol Training Guide from the MSOE Center for BioMolecular Modeling will provide the tools needed to create molecular renderings, physical models using 3-D printing technologies, as well as Jmol animations for online tutorials or electronic posters. Examples of Proteins in Jmol Jmol allows users to rotate proteins and molecular structures in a fully interactive 3-dimensional display. Some sample proteins designed with Jmol are shown to the right. Hemoglobin Proteins Insulin Proteins Green Fluorescent safely carry oxygen in the help regulate sugar in Proteins create blood. the bloodstream. bioluminescence in animals like jellyfish. Downloading Jmol Jmol Can be Used in Two Ways: 1. As an independent program on a desktop - Jmol can be downloaded to run on your desktop like any other program. It uses a Java platform and therefore functions equally well in a PC or Mac environment. 2. As a web application - Jmol has a web-based version (oftern refered to as "JSmol") that runs on a JavaScript platform and therefore functions equally well on all HTML5 compatible browsers such as Firefox, Internet Explorer, Safari and Chrome. -
Python Tools in Computational Chemistry (And Biology)
Python Tools in Computational Chemistry (and Biology) Andrew Dalke Dalke Scientific, AB Göteborg, Sweden EuroSciPy, 26-27 July, 2008 “Why does ‘import numpy’ take 0.4 seconds? Does it need to import 228 libraries?” - My first Numpy-discussion post (paraphrased) Your use case isn't so typical and so suffers on the import time end of the balance. - Response from Robert Kern (Others did complain. Import time down to 0.28s.) 52,000 structures PDB doubles every 2½ years HEADER PHOTORECEPTOR 23-MAY-90 1BRD 1BRD 2 COMPND BACTERIORHODOPSIN 1BRD 3 SOURCE (HALOBACTERIUM $HALOBIUM) 1BRD 4 EXPDTA ELECTRON DIFFRACTION 1BRD 5 AUTHOR R.HENDERSON,J.M.BALDWIN,T.A.CESKA,F.ZEMLIN,E.BECKMANN, 1BRD 6 AUTHOR 2 K.H.DOWNING 1BRD 7 REVDAT 3 15-JAN-93 1BRDB 1 SEQRES 1BRDB 1 REVDAT 2 15-JUL-91 1BRDA 1 REMARK 1BRDA 1 .. ATOM 54 N PRO 8 20.397 -15.569 -13.739 1.00 20.00 1BRD 136 ATOM 55 CA PRO 8 21.592 -15.444 -12.900 1.00 20.00 1BRD 137 ATOM 56 C PRO 8 21.359 -15.206 -11.424 1.00 20.00 1BRD 138 ATOM 57 O PRO 8 21.904 -15.930 -10.563 1.00 20.00 1BRD 139 ATOM 58 CB PRO 8 22.367 -14.319 -13.591 1.00 20.00 1BRD 140 ATOM 59 CG PRO 8 22.089 -14.564 -15.053 1.00 20.00 1BRD 141 ATOM 60 CD PRO 8 20.647 -15.054 -15.103 1.00 20.00 1BRD 142 ATOM 61 N GLU 9 20.562 -14.211 -11.095 1.00 20.00 1BRD 143 ATOM 62 CA GLU 9 20.192 -13.808 -9.737 1.00 20.00 1BRD 144 ATOM 63 C GLU 9 19.567 -14.935 -8.932 1.00 20.00 1BRD 145 ATOM 64 O GLU 9 19.815 -15.104 -7.724 1.00 20.00 1BRD 146 ATOM 65 CB GLU 9 19.248 -12.591 -9.820 1.00 99.00 1 1BRD 147 ATOM 66 CG GLU 9 19.902 -11.351 -10.387 1.00 99.00 1 1BRD 148 ATOM 67 CD GLU 9 19.243 -10.169 -10.980 1.00 99.00 1 1BRD 149 ATOM 68 OE1 GLU 9 18.323 -10.191 -11.782 1.00 99.00 1 1BRD 150 ATOM 69 OE2 GLU 9 19.760 -9.089 -10.597 1.00 99.00 1 1BRD 151 ATOM 70 N TRP 10 18.764 -15.737 -9.597 1.00 20.00 1BRD 152 ATOM 71 CA TRP 10 18.034 -16.884 -9.090 1.00 20.00 1BRD 153 ATOM 72 C TRP 10 18.843 -17.908 -8.318 1.00 20.00 1BRD 154 ATOM 73 O TRP 10 18.376 -18.310 -7.230 1.00 20.00 1BRD 155 . -
Chemdoodle Web Components: HTML5 Toolkit for Chemical Graphics, Interfaces, and Informatics Melanie C Burger1,2*
Burger. J Cheminform (2015) 7:35 DOI 10.1186/s13321-015-0085-3 REVIEW Open Access ChemDoodle Web Components: HTML5 toolkit for chemical graphics, interfaces, and informatics Melanie C Burger1,2* Abstract ChemDoodle Web Components (abbreviated CWC, iChemLabs, LLC) is a light-weight (~340 KB) JavaScript/HTML5 toolkit for chemical graphics, structure editing, interfaces, and informatics based on the proprietary ChemDoodle desktop software. The library uses <canvas> and WebGL technologies and other HTML5 features to provide solutions for creating chemistry-related applications for the web on desktop and mobile platforms. CWC can serve a broad range of scientific disciplines including crystallography, materials science, organic and inorganic chemistry, biochem- istry and chemical biology. CWC is freely available for in-house use and is open source (GPL v3) for all other uses. Keywords: ChemDoodle Web Components, Chemical graphics, Animations, Cheminformatics, HTML5, Canvas, JavaScript, WebGL, Structure editor, Structure query Introduction Mobile browsers did support HTML5, which opened How we communicate chemical information is increas- the door to web applications built with only HTML, ingly technology driven. Learning management systems, CSS and JavaScript (JS), such as the ChemDoodle Web virtual classrooms and MOOCs are a few examples where Components. chemistry educators need forward compatible tools for digital natives. Companies that implement emerg- Review ing web technologies can find efficiencies and benefit The ChemDoodle Web Components technology stack from competitive advantages. The first chemical graph- and features ics toolkit for the web, MDL Chime, was introduced in The ChemDoodle Web Components library, released in 1996 [1]. Based on the molecular visualization program 2009, is the first chemistry toolkit for structure viewing RasMol, Chime was developed as a plugin for Netscape and editing that is originally built using only web stand- and later for Internet Explorer and Firefox. -
64-194 Projekt Parallelrechnerevaluation Abschlussbericht
64-194 Projekt Parallelrechnerevaluation Abschlussbericht Automatisierte Build-Tests für Spack Sarah Lubitz Malte Fock [email protected] [email protected] Studiengang: LA Berufliche Schulen – Informatik Studiengang LaGym - Informatik Matr.-Nr. 6570465 Matr.-Nr. 6311966 Inhaltsverzeichnis i Inhaltsverzeichnis 1 Einleitung1 1.1 Motivation.....................................1 1.2 Vorbereitungen..................................2 1.2.1 Spack....................................2 1.2.2 Python...................................2 1.2.3 Unix-Shell.................................3 1.2.4 Slurm....................................3 1.2.5 GitHub...................................4 2 Code 7 2.1 Automatisiertes Abrufen und Installieren von Spack-Paketen.......7 2.1.1 Python Skript: install_all_packets.py..................7 2.2 Batch-Jobskripte..................................9 2.2.1 Test mit drei Paketen........................... 10 2.3 Analyseskript................................... 11 2.3.1 Test mit 500 Paketen........................... 12 2.3.2 Code zur Analyse der Error-Logs, forts................. 13 2.4 Hintereinanderausführung der Installationen................. 17 2.4.1 Wrapper Skript.............................. 19 2.5 E-Mail Benachrichtigungen........................... 22 3 Testlauf 23 3.1 Durchführung und Ergebnisse......................... 23 3.2 Auswertung und Schlussfolgerungen..................... 23 3.3 Fazit und Ausblick................................ 24 4 Schulische Relevanz 27 Literaturverzeichnis -
How to Modify LAMMPS: from the Prospective of a Particle Method Researcher
chemengineering Article How to Modify LAMMPS: From the Prospective of a Particle Method Researcher Andrea Albano 1,* , Eve le Guillou 2, Antoine Danzé 2, Irene Moulitsas 2 , Iwan H. Sahputra 1,3, Amin Rahmat 1, Carlos Alberto Duque-Daza 1,4, Xiaocheng Shang 5 , Khai Ching Ng 6, Mostapha Ariane 7 and Alessio Alexiadis 1,* 1 School of Chemical Engineering, University of Birmingham, Birmingham B15 2TT, UK; [email protected] (I.H.S.); [email protected] (A.R.); [email protected] (C.A.D.-D.) 2 Centre for Computational Engineering Sciences, Cranfield University, Bedford MK43 0AL, UK; Eve.M.Le-Guillou@cranfield.ac.uk (E.l.G.); A.Danze@cranfield.ac.uk (A.D.); i.moulitsas@cranfield.ac.uk (I.M.) 3 Industrial Engineering Department, Petra Christian University, Surabaya 60236, Indonesia 4 Department of Mechanical and Mechatronic Engineering, Universidad Nacional de Colombia, Bogotá 111321, Colombia 5 School of Mathematics, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; [email protected] 6 Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham Malaysia, Jalan Broga, Semenyih 43500, Malaysia; [email protected] 7 Department of Materials and Engineering, Sayens-University of Burgundy, 21000 Dijon, France; [email protected] * Correspondence: [email protected] or [email protected] (A.A.); [email protected] (A.A.) Citation: Albano, A.; le Guillou, E.; Danzé, A.; Moulitsas, I.; Sahputra, Abstract: LAMMPS is a powerful simulator originally developed for molecular dynamics that, today, I.H.; Rahmat, A.; Duque-Daza, C.A.; also accounts for other particle-based algorithms such as DEM, SPH, or Peridynamics. -
Preparing and Analyzing Large Molecular Simulations With
Preparing and Analyzing Large Molecular Simulations with VMD John Stone, Senior Research Programmer NIH Center for Macromolecular Modeling and Bioinformatics, University of Illinois at Urbana-Champaign VMD Tutorials Home Page • http://www.ks.uiuc.edu/Training/Tutorials/ – Main VMD tutorial – VMD images and movies tutorial – QwikMD simulation preparation and analysis plugin – Structure check – VMD quantum chemistry visualization tutorial – Visualization and analysis of CPMD data with VMD – Parameterizing small molecules using ffTK Overview • Introduction • Data model • Visualization • Scripting and analytical features • Trajectory analysis and visualization • High fidelity ray tracing • Plugins and user-extensibility • Large system analysis and visualization VMD – “Visual Molecular Dynamics” • 100,000 active users worldwide • Visualization and analysis of: – Molecular dynamics simulations – Lattice cell simulations – Quantum chemistry calculations – Cryo-EM densities, volumetric data • User extensible scripting and plugins • http://www.ks.uiuc.edu/Research/vmd/ Cell-Scale Modeling MD Simulation VMD – “Visual Molecular Dynamics” • Unique capabilities: • Visualization and analysis of: – Trajectories are fundamental to VMD – Molecular dynamics simulations – Support for very large systems, – “Particle” systems and whole cells now reaching billions of particles – Cryo-EM densities, volumetric data – Extensive GPU acceleration – Quantum chemistry calculations – Parallel analysis/visualization with MPI – Sequence information MD Simulations Cell-Scale -
Instructions for PDB Downloading (From Either Website)
Molecular Visualization A BBSI Tutorial http://www.ccbb.pitt.edu/BBSI/index.htm By: Jeffry D. Madura Joshua A. Plumley Thomas J. Dick Table of Contents Instructions for PDB downloading..........................................................2 RasMol Tutorial ...........................................................................................3 VMD Tutorial ...............................................................................................5 CAChe Tutuorial..........................................................................................8 MOE Tutorial ............................................................................................. 10 Chimera Tutorial ....................................................................................... 13 Exercises .................................................................................................... 16 1 Instructions for PDB downloading (from either website) -Go to: - Go to: www.rcsb.org/pdb/ www.pdb.bu.edu/oca-bin/pdblite -Type in name of protein (examples at - Type in name of Protein / bottom of the page). Macromolecule ( examples at bottom of page). - Click on Name icon (first name in purple box). - Click on Retrieve Released Data Matching Your Query icon. -On the left side of the screen, click on Download/Display Structure - Highlight any of the molecule name and click on the View/ Analyze/ -Under Download the Structure File, Save Macro Molecule icon. right click on the X where the PDB(top) meets with none, under - Under the Data Retrieval section,