Higher Quality Chemical Depictions: Lessons Learned and Advice
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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 ................................................. -
Open Data, Open Source, and Open Standards in Chemistry: the Blue Obelisk Five Years On" Journal of Cheminformatics Vol
Oral Roberts University Digital Showcase College of Science and Engineering Faculty College of Science and Engineering Research and Scholarship 10-14-2011 Open Data, Open Source, and Open Standards in Chemistry: The lueB Obelisk five years on Andrew Lang Noel M. O'Boyle Rajarshi Guha National Institutes of Health Egon Willighagen Maastricht University Samuel Adams See next page for additional authors Follow this and additional works at: http://digitalshowcase.oru.edu/cose_pub Part of the Chemistry Commons Recommended Citation Andrew Lang, Noel M O'Boyle, Rajarshi Guha, Egon Willighagen, et al.. "Open Data, Open Source, and Open Standards in Chemistry: The Blue Obelisk five years on" Journal of Cheminformatics Vol. 3 Iss. 37 (2011) Available at: http://works.bepress.com/andrew-sid-lang/ 19/ This Article is brought to you for free and open access by the College of Science and Engineering at Digital Showcase. It has been accepted for inclusion in College of Science and Engineering Faculty Research and Scholarship by an authorized administrator of Digital Showcase. For more information, please contact [email protected]. Authors Andrew Lang, Noel M. O'Boyle, Rajarshi Guha, Egon Willighagen, Samuel Adams, Jonathan Alvarsson, Jean- Claude Bradley, Igor Filippov, Robert M. Hanson, Marcus D. Hanwell, Geoffrey R. Hutchison, Craig A. James, Nina Jeliazkova, Karol M. Langner, David C. Lonie, Daniel M. Lowe, Jerome Pansanel, Dmitry Pavlov, Ola Spjuth, Christoph Steinbeck, Adam L. Tenderholt, Kevin J. Theisen, and Peter Murray-Rust This article is available at Digital Showcase: http://digitalshowcase.oru.edu/cose_pub/34 Oral Roberts University From the SelectedWorks of Andrew Lang October 14, 2011 Open Data, Open Source, and Open Standards in Chemistry: The Blue Obelisk five years on Andrew Lang Noel M O'Boyle Rajarshi Guha, National Institutes of Health Egon Willighagen, Maastricht University Samuel Adams, et al. -
Computer-Assisted Catalyst Development Via Automated Modelling of Conformationally Complex Molecules
www.nature.com/scientificreports OPEN Computer‑assisted catalyst development via automated modelling of conformationally complex molecules: application to diphosphinoamine ligands Sibo Lin1*, Jenna C. Fromer2, Yagnaseni Ghosh1, Brian Hanna1, Mohamed Elanany3 & Wei Xu4 Simulation of conformationally complicated molecules requires multiple levels of theory to obtain accurate thermodynamics, requiring signifcant researcher time to implement. We automate this workfow using all open‑source code (XTBDFT) and apply it toward a practical challenge: diphosphinoamine (PNP) ligands used for ethylene tetramerization catalysis may isomerize (with deleterious efects) to iminobisphosphines (PPNs), and a computational method to evaluate PNP ligand candidates would save signifcant experimental efort. We use XTBDFT to calculate the thermodynamic stability of a wide range of conformationally complex PNP ligands against isomeriation to PPN (ΔGPPN), and establish a strong correlation between ΔGPPN and catalyst performance. Finally, we apply our method to screen novel PNP candidates, saving signifcant time by ruling out candidates with non‑trivial synthetic routes and poor expected catalytic performance. Quantum mechanical methods with high energy accuracy, such as density functional theory (DFT), can opti- mize molecular input structures to a nearby local minimum, but calculating accurate reaction thermodynamics requires fnding global minimum energy structures1,2. For simple molecules, expert intuition can identify a few minima to focus study on, but an alternative approach must be considered for more complex molecules or to eventually fulfl the dream of autonomous catalyst design 3,4: the potential energy surface must be frst surveyed with a computationally efcient method; then minima from this survey must be refned using slower, more accurate methods; fnally, for molecules possessing low-frequency vibrational modes, those modes need to be treated appropriately to obtain accurate thermodynamic energies 5–7. -
Designing Universal Chemical Markup (UCM) Through the Reusable Methodology Based on Analyzing Existing Related Formats
Designing Universal Chemical Markup (UCM) through the reusable methodology based on analyzing existing related formats Background: In order to design concepts for a new general-purpose chemical format we analyzed the strengths and weaknesses of current formats for common chemical data. While the new format is discussed more in the next article, here we describe our software s t tools and two stage analysis procedure that supplied the necessary information for the n i r development. The chemical formats analyzed in both stages were: CDX, CDXML, CML, P CTfile and XDfile. In addition the following formats were included in the first stage only: e r P CIF, InChI, NCBI ASN.1, NCBI XML, PDB, PDBx/mmCIF, PDBML, SMILES, SLN and Mol2. Results: A two stage analysis process devised for both XML (Extensible Markup Language) and non-XML formats enabled us to verify if and how potential advantages of XML are utilized in the widely used general-purpose chemical formats. In the first stage we accumulated information about analyzed formats and selected the formats with the most general-purpose chemical functionality for the second stage. During the second stage our set of software quality requirements was used to assess the benefits and issues of selected formats. Additionally, the detailed analysis of XML formats structure in the second stage helped us to identify concepts in those formats. Using these concepts we came up with the concise structure for a new chemical format, which is designed to provide precise built-in validation capabilities and aims to avoid the potential issues of analyzed formats. -
Notes on OLEX2
Notes on OLEX2 Updated on 12 January 2018,at 09:05. Olex2 v1.2-dev © OlexSys Ltd. 2004 – 2016 Compilation Info: 2017.07.20 svn.r3457 MSC:150030729 on WIN64, Python: 2.7.5, wxWidgets: 3.1.0 for OlexSys Ilia A. Guzei 2124 Chemistry Department, University of Wisconsin-Madison, 1101 University Ave, Madison, WI 53706 USA. This is work in progress. You are encouraged to e-mail me ([email protected]) your comments, corrections, and suggestions. Many thanks to Nattamai Bhuvanesh, Brian Dolinar, Oleg Dolomanov, Dean Johnston, Horst Puschmann, Amy Sarjeant, Charlotte Stern, for proof- reading, suggestions, and comments. I have also borrowed from Martin Lutz, Len Barbour, Richard Staples and Tony Linden. OLEX2 Manual Table of Content Table of Content ........................................................................................................................... 2 How to install OLEX2 under Windows .......................................................................................... 3 How to install OLEX2 on a Mac .................................................................................................... 6 Installing and using PLATON on a Mac ........................................................................................ 8 How to get OLEX2 to use PLATON ............................................................................................ 11 About program OLEX2 ................................................................................................................ 11 Keyboard shortcuts ..................................................................................................................... -
Visualizing 3D Molecular Structures Using an Augmented Reality App
Visualizing 3D molecular structures using an augmented reality app Kristina Eriksen, Bjarne E. Nielsen, Michael Pittelkow 5 Department of Chemistry, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen, Denmark. E-mail: [email protected] ABSTRACT 10 We present a simple procedure to make an augmented reality app to visualize any 3D chemical model. The molecular structure may be based on data from crystallographic data or from computer modelling. This guide is made in such a way, that no programming skills are needed and the procedure uses free software and is a way to visualize 3D structures that are normally difficult to comprehend in the 2D 15 space of paper. The process can be applied to make 3D representation of any 2D object, and we envisage the app to be useful when visualizing simple stereochemical problems, when presenting a complex 3D structure on a poster presentation or even in audio-visual presentations. The method works for all molecules including small molecules, supramolecular structures, MOFs and biomacromolecules. GRAPHICAL ABSTRACT 20 KEYWORDS Augmented reality, Unity, Vuforia, Application, 3D models. 25 Journal 5/18/21 Page 1 of 14 INTRODUCTION Conveying information about three-dimensional (3D) structures in two-dimensional (2D) space, such as on paper or a screen can be difficult. Augmented reality (AR) provides an opportunity to visualize 2D 30 structures in 3D. Software to make simple AR apps is becoming common and ranges of free software now exist to make customized apps. AR has transformed visualization in computer games and films, but the technique is distinctly under-used in (chemical) science.1 In chemical science the challenge of visualizing in 3D exists at several levels ranging from teaching of stereo chemistry problems at freshman university level to visualizing complex molecular structures at 35 the forefront of chemical research. -
Open Data, Open Source and Open Standards in Chemistry: the Blue Obelisk five Years On
Open Data, Open Source and Open Standards in chemistry: The Blue Obelisk ¯ve years on Noel M O'Boyle¤1 , Rajarshi Guha2 , Egon L Willighagen3 , Samuel E Adams4 , Jonathan Alvarsson5 , Richard L Apodaca6 , Jean-Claude Bradley7 , Igor V Filippov8 , Robert M Hanson9 , Marcus D Hanwell10 , Geo®rey R Hutchison11 , Craig A James12 , Nina Jeliazkova13 , Andrew SID Lang14 , Karol M Langner15 , David C Lonie16 , Daniel M Lowe4 , J¶er^omePansanel17 , Dmitry Pavlov18 , Ola Spjuth5 , Christoph Steinbeck19 , Adam L Tenderholt20 , Kevin J Theisen21 , Peter Murray-Rust4 1Analytical and Biological Chemistry Research Facility, Cavanagh Pharmacy Building, University College Cork, College Road, Cork, Co. Cork, Ireland 2NIH Center for Translational Therapeutics, 9800 Medical Center Drive, Rockville, MD 20878, USA 3Division of Molecular Toxicology, Institute of Environmental Medicine, Nobels vaeg 13, Karolinska Institutet, 171 77 Stockholm, Sweden 4Unilever Centre for Molecular Sciences Informatics, Department of Chemistry, University of Cambridge, Lens¯eld Road, CB2 1EW, UK 5Department of Pharmaceutical Biosciences, Uppsala University, Box 591, 751 24 Uppsala, Sweden 6Metamolecular, LLC, 8070 La Jolla Shores Drive #464, La Jolla, CA 92037, USA 7Department of Chemistry, Drexel University, 32nd and Chestnut streets, Philadelphia, PA 19104, USA 8Chemical Biology Laboratory, Basic Research Program, SAIC-Frederick, Inc., NCI-Frederick, Frederick, MD 21702, USA 9St. Olaf College, 1520 St. Olaf Ave., North¯eld, MN 55057, USA 10Kitware, Inc., 28 Corporate Drive, Clifton Park, NY 12065, USA 11Department of Chemistry, University of Pittsburgh, 219 Parkman Avenue, Pittsburgh, PA 15260, USA 12eMolecules Inc., 380 Stevens Ave., Solana Beach, California 92075, USA 13Ideaconsult Ltd., 4.A.Kanchev str., So¯a 1000, Bulgaria 14Department of Engineering, Computer Science, Physics, and Mathematics, Oral Roberts University, 7777 S. -
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. -
Development and Application of a Computational Platform for Complex Molecular Design Jaime Rodríguez-Guerra Pedregal
ADVERTIMENT. Lʼaccés als continguts dʼaquesta tesi queda condicionat a lʼacceptació de les condicions dʼús establertes per la següent llicència Creative Commons: http://cat.creativecommons.org/?page_id=184 ADVERTENCIA. El acceso a los contenidos de esta tesis queda condicionado a la aceptación de las condiciones de uso establecidas por la siguiente licencia Creative Commons: http://es.creativecommons.org/blog/licencias/ WARNING. The access to the contents of this doctoral thesis it is limited to the acceptance of the use conditions set by the following Creative Commons license: https://creativecommons.org/licenses/?lang=en Development and Application of a Computational Platform for Complex Molecular Design a dissertation submitted by Jaime Rodríguez-Guerra Pedregal & directed by Prof. Dr. Jean-Didier Maréchal in fulfillment of the requirements for the degree of Doctor of Biotechnology Tutor: Prof. Dr. Jordi Joan Cairó Badillo Department of Chemical, Biological and Environmental Engineering Universitat Autònoma de Barcelona July 2018 Development and Application of a Computational Platform for Complex Molecular Design a dissertation submitted by & recommended for acceptance by advisor Jaime Rodríguez-Guerra Pedregal Prof. Dr. Jean-Didier Maréchal Tutor: Prof. Dr. Jordi Joan Cairó Badillo Department of Chemical, Biological and Environmental Engineering Universitat Autònoma de Barcelona July 2018 ©2018 – Jaime Rodríguez-Guerra Pedregal Licensed as Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs In the beginning, there was nothing. And God said «Let there be light». And there was light. There was still nothing, but you could see it a lot better. —WoodyAllen. Development and Application of a Computational Platform for Complex Molecular Design by Jaime Rodríguez-Guerra Pedregal Abstract In this dissertation, a series of novel computational modeling tools is reported. -
Page 1 of 52 RSC Advances
RSC Advances This is an Accepted Manuscript, which has been through the Royal Society of Chemistry peer review process and has been accepted for publication. Accepted Manuscripts are published online shortly after acceptance, before technical editing, formatting and proof reading. Using this free service, authors can make their results available to the community, in citable form, before we publish the edited article. This Accepted Manuscript will be replaced by the edited, formatted and paginated article as soon as this is available. You can find more information about Accepted Manuscripts in the Information for Authors. Please note that technical editing may introduce minor changes to the text and/or graphics, which may alter content. The journal’s standard Terms & Conditions and the Ethical guidelines still apply. In no event shall the Royal Society of Chemistry be held responsible for any errors or omissions in this Accepted Manuscript or any consequences arising from the use of any information it contains. www.rsc.org/advances Page 1 of 52 RSC Advances Synthesis, DNA/protein binding, molecular docking, DNA cleavage and in vitro anticancer activity of nickel(II) bis(thiosemicarbazone) complexes Jebiti Haribabu,a Kumaramangalam Jeyalakshmi, a Yuvaraj Arun, b Nattamai S. P. Bhuvanesh, c Paramasivan Thirumalai Perumal, b and Ramasamy Karvembu a* Abstract A series of N-substituted isatin thiosemicarbazone ligands (L1-L5) and their nickel(II) complexes [Ni(L)2] ( 1-5) were synthesized and characterized by elemental analyses and UV- Visible, FT-IR, 1H & 13 C NMR, and mass spectroscopic techniques. The molecular structure of ligands (L1 and L2) and complex 1 was confirmed by single crystal X-ray crystallography. -
ACD/Chemsketch Reference Manual (Ver 11.0)
ACD/ChemSketch Version 11.0 for Microsoft Windows Reference Manual Comprehensive Interface Description Advanced Chemistry Development, Inc. Copyright © 1997–2007 Advanced Chemistry Development, Inc. All rights reserved. ACD/Labs is a trademark of Advanced Chemistry Development, Inc. Microsoft and Windows are registered trademarks of Microsoft Corporation in the United States and/or other countries Copyright © 2007 Microsoft Corporation. All rights reserved. IBM is a registered trademark of International Business Machines Corporation Copyright © IBM Corporation 1994, 2007. All rights reserved. Adobe, Acrobat, PDF, Portable Document Formats, and associated data structures and operators are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States and/or other countries Copyright © 2007 Adobe Systems Incorporated. All rights reserved. Camtasia is a registered trademark of TechSmith Corporation, and Camtasia Studio is a trademark of TechSmith Corporation Copyright © 1999–2007 TechSmith Corporation. All rights reserved. All the other trademarks mentioned within this reference manual are the property of their respective owners. All trademarks are acknowledged. Information in this document is subject to change without notice and is provided “as is” with no warranty. Advanced Chemistry Development, Inc., makes no warranty of any kind with regard to this material, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. Advanced Chemistry Development, Inc., -
Conformational Analysis 3D Structures, Conformations and Molecular Surfaces
Conformational Analysis 3D Structures, Conformations and Molecular Surfaces Christof H. Schwab Molecular Networks GmbH Altamira LLC Henkestr. 91 1455 Candlewood Drive 91052 Erlangen, Germany mn-am.com Columbus, Ohio 43235, USA Molecular Networks and Altamira MN-AM Erlangen, Germany Columbus, Ohio, USA Friedrich-Alexander-Universität The Ohio State University 1997 2008 Chemoinformatics 3D structure generation Physicochemical and reaction properties Metabolic reaction knowledge Computational toxicology and risk assessment Database and knowledgebase Predictive models Consulting services 2 Product Lines – Chemoinformatics CORINA Classic CORINA Classic Industry-standard 3D structure generation CORINA Symphony Profiling and managing of chemical datasets Workflows Structure cleaning/processing Descriptor generation (properties and fragments) SYLVIA Estimation of synthetic accessibility of compounds Public tools ChemoTyper (with ToxPrint Chemotypes) https://chemotyper.org, https://toxprint.org 3 Product Lines – Computational Toxicology and Risk Assessment ChemTunes Platform to support decision making in human health and regulatory critical endpoints Toxicity database (all endpoints) "Inventory" concept for compound location ChemTunes ToxGPS Prediction models All human health related endpoints Workflows TTC (thresholds of toxicological concern) Genotoxic Impurities Read-Across (in development) Workflow ICH M7 GTI (in development) 4 3D Structures, Conformations and Molecular Surfaces – Overview 3D structures – why,