Open Babel: an Open Chemical Toolbox Noel M O’Boyle1, Michael Banck2, Craig a James3, Chris Morley4, Tim Vandermeersch4 and Geoffrey R Hutchison5*
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Pyplif HIPPOS-Assisted Prediction of Molecular Determinants of Ligand Binding to Receptors
molecules Article PyPLIF HIPPOS-Assisted Prediction of Molecular Determinants of Ligand Binding to Receptors Enade P. Istyastono 1,* , Nunung Yuniarti 2, Vivitri D. Prasasty 3 and Sudi Mungkasi 4 1 Faculty of Pharmacy, Sanata Dharma University, Yogyakarta 55282, Indonesia 2 Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia; [email protected] 3 Faculty of Biotechnology, Atma Jaya Catholic University of Indonesia, Jakarta 12930, Indonesia; [email protected] 4 Department of Mathematics, Faculty of Science and Technology, Sanata Dharma University, Yogyakarta 55282, Indonesia; [email protected] * Correspondence: [email protected]; Tel.: +62-274883037 Abstract: Identification of molecular determinants of receptor-ligand binding could significantly increase the quality of structure-based virtual screening protocols. In turn, drug design process, especially the fragment-based approaches, could benefit from the knowledge. Retrospective virtual screening campaigns by employing AutoDock Vina followed by protein-ligand interaction finger- printing (PLIF) identification by using recently published PyPLIF HIPPOS were the main techniques used here. The ligands and decoys datasets from the enhanced version of the database of useful de- coys (DUDE) targeting human G protein-coupled receptors (GPCRs) were employed in this research since the mutation data are available and could be used to retrospectively verify the prediction. The results show that the method presented in this article could pinpoint some retrospectively verified molecular determinants. The method is therefore suggested to be employed as a routine in drug Citation: Istyastono, E.P.; Yuniarti, design and discovery. N.; Prasasty, V.D.; Mungkasi, S. PyPLIF HIPPOS-Assisted Prediction Keywords: PyPLIF HIPPOS; AutoDock Vina; drug discovery; fragment-based; molecular determi- of Molecular Determinants of Ligand Binding to Receptors. -
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. -
The Alexandria Library, a Quantum-Chemical Database of Molecular Properties for Force field Development 9 2017 Received: October 1 1 1 Mohammad M
www.nature.com/scientificdata OPEN Data Descriptor: The Alexandria library, a quantum-chemical database of molecular properties for force field development 9 2017 Received: October 1 1 1 Mohammad M. Ghahremanpour , Paul J. van Maaren & David van der Spoel Accepted: 19 February 2018 Published: 10 April 2018 Data quality as well as library size are crucial issues for force field development. In order to predict molecular properties in a large chemical space, the foundation to build force fields on needs to encompass a large variety of chemical compounds. The tabulated molecular physicochemical properties also need to be accurate. Due to the limited transparency in data used for development of existing force fields it is hard to establish data quality and reusability is low. This paper presents the Alexandria library as an open and freely accessible database of optimized molecular geometries, frequencies, electrostatic moments up to the hexadecupole, electrostatic potential, polarizabilities, and thermochemistry, obtained from quantum chemistry calculations for 2704 compounds. Values are tabulated and where available compared to experimental data. This library can assist systematic development and training of empirical force fields for a broad range of molecules. Design Type(s) data integration objective • molecular physical property analysis objective Measurement Type(s) physicochemical characterization Technology Type(s) Computational Chemistry Factor Type(s) Sample Characteristic(s) 1 Uppsala Centre for Computational Chemistry, Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Husargatan 3, Box 596, SE-75124 Uppsala, Sweden. Correspondence and requests for materials should be addressed to D.v.d.S. (email: [email protected]). -
A Java-Based Platform for Evolutionary De Novo Molecular Design
Article MoleGear: A Java-Based Platform for Evolutionary De Novo Molecular Design Yunhan Chu and Xuezhong He * Department of Chemical Engineering, Norwegian University of Science and Technology, N-7491 Trondheim, Norway; [email protected] * Correspondence: [email protected]; Tel.: +47-73593942 Received: 25 March 2019; Accepted: 10 April 2019; Published: 11 April 2019 Abstract: A Java-based platform, MoleGear, is developed for de novo molecular design based on the chemistry development kit (CDK) and other Java packages. MoleGear uses evolutionary algorithm (EA) to explore chemical space, and a suite of fragment-based operators of growing, crossover, and mutation for assembling novel molecules that can be scored by prediction of binding free energy or a weighted-sum multi-objective fitness function. The EA can be conducted in parallel over multiple nodes to support large-scale molecular optimizations. Some complementary utilities such as fragment library design, chemical space analysis, and graphical user interface are also integrated into MoleGear. The candidate molecules as inhibitors for the human immunodeficiency virus 1 (HIV-1) protease were designed by MoleGear, which validates the potential capability for de novo molecular design. Keywords: de novo design; evolutionary algorithm; drug molecules; fitness; multi-objective function 1. Introduction Computational chemistry plays an important role in the design of new drug-like molecules [1– 5], catalysts [6–8], and novel solvents of ionic liquids [9–11]. De novo molecular design has been an active research area of drug design/discovery over the last decades, and many approaches such as LUDI [12], LEA3D [13], Flux [14,15], and pharmacophore-linked fragment virtual screening (PFVS) [16] have been developed by using protein and ligand structures. -
Molecular Structure Input on the Web Peter Ertl
Ertl Journal of Cheminformatics 2010, 2:1 http://www.jcheminf.com/content/2/1/1 REVIEW Open Access Molecular structure input on the web Peter Ertl Abstract A molecule editor, that is program for input and editing of molecules, is an indispensable part of every cheminfor- matics or molecular processing system. This review focuses on a special type of molecule editors, namely those that are used for molecule structure input on the web. Scientific computing is now moving more and more in the direction of web services and cloud computing, with servers scattered all around the Internet. Thus a web browser has become the universal scientific user interface, and a tool to edit molecules directly within the web browser is essential. The review covers a history of web-based structure input, starting with simple text entry boxes and early molecule editors based on clickable maps, before moving to the current situation dominated by Java applets. One typical example - the popular JME Molecule Editor - will be described in more detail. Modern Ajax server-side molecule editors are also presented. And finally, the possible future direction of web-based molecule editing, based on tech- nologies like JavaScript and Flash, is discussed. Introduction this trend and input of molecular structures directly A program for the input and editing of molecules is an within a web browser is therefore of utmost importance. indispensable part of every cheminformatics or molecu- In this overview a history of entering molecules into lar processing system. Such a program is known as a web applications will be covered, starting from simple molecule editor, molecular editor or structure sketcher. -
Quickly Documentation Release 0.1
Quickly Documentation Release 0.1 Michael Spencer March 28, 2016 Contents 1 Offline Reading 3 1.1 Tutorial..................................................3 1.2 QMLify Transpiler............................................5 1.3 Core JS Modules.............................................5 1.4 Distributing your Module........................................8 2 Indices and tables 11 i ii Quickly Documentation, Release 0.1 Quickly is a build tool and QML module with provides an NodeJS-like ES6 environment for Javascript used in QML. The goal of the project is to allow you to write awesome modern ES6 Javascript taking advantage of classes, decorators, arrow functions, and best of all, many of the vast array of NPM packages available using the standard ES6 module imports. You can then take that code and use in directly from QML, just as you would with plain, old, QML-specific Javascript. You can even build a library using ES6 and NPM packages, and then distribute that as a standard QML module or QPM package for other developers to use in regular QML or QML-specific Javascript. For those who would prefer to stick with standard QML-specific Javascript, you can also do that and still use the Quickly library, which gives you promises, the fetch API, and many polyfills. This is great for longtime QML devel- opers or existing projects that just want to drop in some easy-to-use features from modern JS core libraries. Tutorial A quick guide to get you up and running with Quickly. QMLify Transpiler How to use qmlify, the Quickly transpiler. Core JS Modules How to use the core JS modules. Distributing your Module Distributing your awesome new module for other developers to use. -
Spoken Tutorial Project, IIT Bombay Brochure for Chemistry Department
Spoken Tutorial Project, IIT Bombay Brochure for Chemistry Department Name of FOSS Applications Employability GChemPaint GChemPaint is an editor for 2Dchem- GChemPaint is currently being developed ical structures with a multiple docu- as part of The Chemistry Development ment interface. Kit, and a Standard Widget Tool kit- based GChemPaint application is being developed, as part of Bioclipse. Jmol Jmol applet is used to explore the Jmol is a free, open source molecule viewer structure of molecules. Jmol applet is for students, educators, and researchers used to depict X-ray structures in chemistry and biochemistry. It is cross- platform, running on Windows, Mac OS X, and Linux/Unix systems. For PG Students LaTeX Document markup language and Value addition to academic Skills set. preparation system for Tex typesetting Essential for International paper presentation and scientific journals. For PG student for their project work Scilab Scientific Computation package for Value addition in technical problem numerical computations solving via use of computational methods for engineering problems, Applicable in Chemical, ECE, Electrical, Electronics, Civil, Mechanical, Mathematics etc. For PG student who are taking Physical Chemistry Avogadro Avogadro is a free and open source, Research and Development in Chemistry, advanced molecule editor and Pharmacist and University lecturers. visualizer designed for cross-platform use in computational chemistry, molecular modeling, material science, bioinformatics, etc. Spoken Tutorial Project, IIT Bombay Brochure for Commerce and Commerce IT Name of FOSS Applications / Employability LibreOffice – Writer, Calc, Writing letters, documents, creating spreadsheets, tables, Impress making presentations, desktop publishing LibreOffice – Base, Draw, Managing databases, Drawing, doing simple Mathematical Math operations For Commerce IT Students Drupal Drupal is a free and open source content management system (CMS). -
Evaluation of Protein-Ligand Docking Methods on Peptide-Ligand
bioRxiv preprint doi: https://doi.org/10.1101/212514; this version posted November 1, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Evaluation of protein-ligand docking methods on peptide-ligand complexes for docking small ligands to peptides Sandeep Singh1#, Hemant Kumar Srivastava1#, Gaurav Kishor1#, Harinder Singh1, Piyush Agrawal1 and G.P.S. Raghava1,2* 1CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, India. 2Indraprastha Institute of Information Technology, Okhla Phase III, Delhi India #Authors Contributed Equally Emails of Authors: SS: [email protected] HKS: [email protected] GK: [email protected] HS: [email protected] PA: [email protected] * Corresponding author Professor of Center for Computation Biology, Indraprastha Institute of Information Technology (IIIT Delhi), Okhla Phase III, New Delhi-110020, India Phone: +91-172-26907444 Fax: +91-172-26907410 E-mail: [email protected] Running Title: Benchmarking of docking methods 1 bioRxiv preprint doi: https://doi.org/10.1101/212514; this version posted November 1, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. ABSTRACT In the past, many benchmarking studies have been performed on protein-protein and protein-ligand docking however there is no study on peptide-ligand docking. -
The Norbornene Mystery Revealed
Supplementary Material (ESI) for Chemical Communications This journal is (c) The Royal Society of Chemistry 2010 Electronic Supporting Information The Norbornene Mystery Revealed Stephan N. Steinmann, Pierre Vogel, Yirong Mo, and Clémence Corminboeuf* To be published in Chemical Communication. The supplementary Data were prepared on June 22, 2010 and contains 14 pages. Contents: Method Section Figure S1: Molecules used for the comparisons between known experimental 1 Jcc-coupling constants (in Hertz) and the computed values. 1 Table S1 JCC-coupling comparison between experiment and computation. 1 Table S2: JCC-coupling constants for all compounds considered. Cartesian coordinates: B3LYP/6-311+G(d,p) (BLW and canonical) optimized structures for all compounds considered in the article. Contents: Computational Details 1 Table S1: JCC-coupling constants for all compounds considered. 1 Figure S1: Molecules for JCC-coupling comparison between experiment and computation. 1 Table S2: JCC-coupling comparison between experiment and computation. B3LYP/6-311+G(d,p) (BLW and canonical) optimized structures for all compounds considered in the article. Computational Details Standard geometries were optimized at the B3LYP1, 2/6-311+G** level using Gaussian 09.3 The BLW- constrained B3LYP/6-311+G** geometries (‘loc’) were optimized using a modified version of GAMESS-US (release 2008)4interfaced with the BLW-module.5, 6 Both the density and the J-coupling constants have been computed at the PBE7/IGLO-III level in Dalton 2.0.8 The BLW-eigenvalues and eigenvectors were optimized at the given DFT level with the SCF module of Dalton, SIRIUS, that has been interfaced with the BLW- module. -
Computational Chemistry for Chemistry Educators Shawn C
Volume 1, Issue 1 Journal Of Computational Science Education Computational Chemistry for Chemistry Educators Shawn C. Sendlinger Clyde R. Metz North Carolina Central University College of Charleston Department of Chemistry Department of Chemistry and Biochemistry 1801 Fayetteville Street, 66 George Street, Durham, NC 27707 Charleston, SC 29424 919-530-6297 843-953-8097 [email protected] [email protected] ABSTRACT 1. INTRODUCTION In this paper we describe an ongoing project where the goal is to The majority of today’s students are technologically savvy and are develop competence and confidence among chemistry faculty so often more comfortable using computers than the faculty who they are able to utilize computational chemistry as an effective teach them. In order to harness the student’s interest in teaching tool. Advances in hardware and software have made technology and begin to use it as an educational tool, most faculty research-grade tools readily available to the academic community. members require some level of instruction and training. Because Training is required so that faculty can take full advantage of this chemistry research increasingly utilizes computation as an technology, begin to transform the educational landscape, and important tool, our approach to chemistry education should reflect attract more students to the study of science. this. The ability of computer technology to visualize and manipulate objects on an atomic scale can be a powerful tool to increase both student interest in chemistry as well as their level of Categories and Subject Descriptors understanding. Computational Chemistry for Chemistry Educators (CCCE) is a project that seeks to provide faculty the J.2 [Physical Sciences and Engineering]: Chemistry necessary knowledge, experience, and technology access so that they can begin to design and incorporate computational approaches in the courses they teach. -
Copyrighted Material
PART I METHODS COPYRIGHTED MATERIAL CHAPTER 1 Overview of Thermochemistry and Its Application to Reaction Kinetics ELKE GOOS Institute of Combustion Technology, German Aerospace Center (DLR), Stuttgart, Germany ALEXANDER BURCAT Faculty of Aerospace Engineering, Technion - Israel Institute of Technology, Haifa, Israel 1.1 HISTORY OF THERMOCHEMISTRY Thermochemistry deals with energy and enthalpy changes accompanying chemical reactions and phase transformations and gives a first estimate of whether a given reaction can occur. To our knowledge, the field of thermochemistry started with the experiments done by Malhard and Le Chatelier [1] with gunpowder and explosives. The first of their two papers of 1883 starts with the sentence: “All combustion is accompanied by the release of heat that increases the temperature of the burned bodies.” In 1897, Berthelot [2], who also experimented with explosives, published his two-volume monograph Thermochimie in which he summed up 40 years of calori- metric studies. The first textbook, to our knowledge, that clearly explained the principles of thermochemical properties was authored by Lewis and Randall [3] in 1923. Thermochemical data, actually heats of formation, were gathered, evaluated, and published for the first time in the seven-volume book International Critical Tables of Numerical Data, Physics, Chemistry and Technology [4] during 1926–1930 (and the additional index in 1933). In 1932, the American Chemical Society (ACS) monograph No. 60 The Free Energy of Some Organic Compounds [5] appeared. Rate Constant Calculation for Thermal Reactions: Methods and Applications, Edited by Herbert DaCosta and Maohong Fan. Ó 2012 John Wiley & Sons, Inc. Published 2012 by John Wiley & Sons, Inc. 3 4 OVERVIEW OF THERMOCHEMISTRY AND ITS APPLICATION TO REACTION KINETICS In 1936 was published The Thermochemistry of the Chemical Substances [6] where the authors Bichowsky and Rossini attempted to standardize the available data and published them at a common temperature of 18C (291K) and pressure of 1 atm.