Graphical Representation Standards for Chemical Structure Diagrams**
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												Brief Guide to the Nomenclature of Organic Chemistry
1 Brief Guide to the Nomenclature of Table 1: Components of the substitutive name Organic Chemistry (4S,5E)-4,6-dichlorohept-5-en-2-one for K.-H. Hellwich (Germany), R. M. Hartshorn (New Zealand), CH3 Cl O A. Yerin (Russia), T. Damhus (Denmark), A. T. Hutton (South 4 2 Africa). E-mail: [email protected] Sponsoring body: Cl 6 CH 5 3 IUPAC Division of Chemical Nomenclature and Structure suffix for principal hept(a) parent (heptane) one Representation. characteristic group en(e) unsaturation ending chloro substituent prefix 1 INTRODUCTION di multiplicative prefix S E stereodescriptors CHEMISTRY The universal adoption of an agreed nomenclature is a key tool for 2 4 5 6 locants ( ) enclosing marks efficient communication in the chemical sciences, in industry and Multiplicative prefixes (Table 2) are used when more than one for regulations associated with import/export or health and safety. fragment of a particular kind is present in a structure. Which kind of REPRESENTATION The International Union of Pure and Applied Chemistry (IUPAC) multiplicative prefix is used depends on the complexity of the provides recommendations on many aspects of nomenclature.1 The APPLIED corresponding fragment – e.g. trichloro, but tris(chloromethyl). basics of organic nomenclature are summarized here, and there are companion documents on the nomenclature of inorganic2 and Table 2: Multiplicative prefixes for simple/complicated entities polymer3 chemistry, with hyperlinks to original documents. An No. Simple Complicated No. Simple Complicated AND overall - 
												
												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]). - 
												
												Introduction to NMR Spectroscopy of Proteins
A brief introduction to NMR spectroscopy of proteins By Flemming M. Poulsen 2002 1 Introduction Nuclear magnetic resonance, NMR, and X-ray crystallography are the only two methods that can be applied to the study of three-dimensional molecular structures of proteins at atomic resolution. NMR spectroscopy is the only method that allows the determination of three-dimensional structures of proteins molecules in the solution phase. In addition NMR spectroscopy is a very useful method for the study of kinetic reactions and properties of proteins at the atomic level. In contrast to most other methods NMR spectroscopy studies chemical properties by studying individual nuclei. This is the power of the methods but sometimes also the weakness. NMR spectroscopy can be applied to structure determination by routine NMR techniques for proteins in the size range between 5 and 25 kDa. For many proteins in this size range structure determination is relatively easy, however there are many examples of structure determinations of proteins, which have failed due to problems of aggregation and dynamics and reduced solubility. It is the purpose of these notes to introduce the reader to descriptions and applications of the methods of NMR spectroscopy most commonly applied in scientific studies of biological macromolecules, in particular proteins. The figures 1,2 and 11 are copied from “Multidímensional NMR in Liquids” by F.J.M de Ven (1995)Wiley-VCH The Figure13 and Table 1 have been copied from “NMR of Proteins and Nucleic acis” K. Wüthrich (1986) Wiley Interscience The Figures 20, 21 and 22 have been copied from J. - 
												
												Chapter 1: Atoms, Molecules and Ions
Previous Chapter Table of Contents Next Chapter Chapter 1: Atoms, Molecules and Ions Section 1.1: Introduction In this course, we will be studying matter, “the stuff things are made of”. There are many ways to classify matter. For instance, matter can be classified according to the phase, that is, the physical state a material is in. Depending on the pressure and the temperature, matter can exist in one of three phases (solid, liquid, or gas). The chemical structure of a material determines the range of temperatures and pressures under which this material is a solid, a liquid or a gas. Consider water for example. The principal differences between water in the solid, liquid and gas states are simply: 1) the average distance between the water molecules; small in the solid and the liquid and large in the gas and 2) whether the molecules are organized in an orderly three-dimensional array (solid) or not (liquid and gas). Another way to classify matter is to consider whether a substance is pure or not. So, matter can be classified as being either a pure substance or a mixture. A pure substance has unique composition and properties. For example, water is a pure substance (whether from Texas or Idaho, each water molecule always contains 2 atoms of hydrogen for 1 atom of oxygen). Under the same atmospheric pressure and at the same ambient temperature, water always has the same density. We can go a little further and classify mixtures are either homogeneous or heterogeneous. In a homogeneous mixture, for example, as a result of mixing a teaspoon of salt in a glass of water, the composition of the various components and their properties are the same throughout. - 
												
												Flexible Heuristic Algorithm for Automatic Molecule Fragmentation: Application to the UNIFAC Group Contribution Model Simon Müller*
Müller J Cheminform (2019) 11:57 https://doi.org/10.1186/s13321-019-0382-3 Journal of Cheminformatics RESEARCH ARTICLE Open Access Flexible heuristic algorithm for automatic molecule fragmentation: application to the UNIFAC group contribution model Simon Müller* Abstract A priori calculation of thermophysical properties and predictive thermodynamic models can be very helpful for developing new industrial processes. Group contribution methods link the target property to contributions based on chemical groups or other molecular subunits of a given molecule. However, the fragmentation of the molecule into its subunits is usually done manually impeding the fast testing and development of new group contribution methods based on large databases of molecules. The aim of this work is to develop strategies to overcome the challenges that arise when attempting to fragment molecules automatically while keeping the defnition of the groups as simple as possible. Furthermore, these strategies are implemented in two fragmentation algorithms. The frst algorithm fnds only one solution while the second algorithm fnds all possible fragmentations. Both algorithms are tested to frag- ment a database of 20,000 molecules for use with the group contribution model Universal Quasichemical Func- tional Group Activity Coefcients+ (UNIFAC). Comparison of the results with a reference database shows that both algorithms are capable of successfully fragmenting all the molecules automatically. Furthermore, when applying them on a larger database it is shown, that the newly developed algorithms are capable of fragmenting structures previously thought not possible to fragment. Keywords: Molecule fragmentation, Cheminformatics, RDKit, Property prediction, Group contribution method, UNIFAC, Incrementation Introduction named QSPR methods (Quantitative Structure Property Cheminformatics is a growing feld due to the increas- Relationship). - 
												
												Electron Paramagnetic Resonance of Radicals and Metal Complexes. 2. International Conference of the Polish EPR Association. Wars
! U t S - PL — voZ, PL9700944 Warsaw, 9-13 September 1996 ELECTRON PARAMAGNETIC RESONANCE OF RADICALS AND METAL COMPLEXES 2nd International Conference of the Polish EPR Association INSTITUTE OF NUCLEAR CHEMISTRY AND TECHNOLOGY UNIVERSITY OF WARSAW VGL 2 8 Hi 1 2 ORGANIZING COMMITTEE Institute of Nuclear Chemistry and Technology Prof. Andrzej G. Chmielewski, Ph.D., D.Sc. Assoc. Prof. Hanna B. Ambroz, Ph.D., D.Sc. Assoc. Prof. Jacek Michalik, Ph.D., D.Sc. Dr Zbigniew Zimek University of Warsaw Prof. Zbigniew Kqcki, Ph.D., D.Sc. ADDRESS OF ORGANIZING COMMITTEE Institute of Nuclear Chemistry and Technology, Dorodna 16,03-195 Warsaw, Poland phone: (0-4822) 11 23 47; telex: 813027 ichtj pi; fax: (0-4822) 11 15 32; e-mail: [email protected] .waw.pl Abstracts are published in the form as received from the Authors SPONSORS The organizers would like to thank the following sponsors for their financial support: » State Committee of Scientific Research » Stiftung fur Deutsch-Polnische Zusammenarbeit » National Atomic Energy Agency, Warsaw, Poland » Committee of Chemistry, Polish Academy of Sciences, Warsaw, Poland » Committee of Physics, Polish Academy of Sciences, Poznan, Poland » The British Council, Warsaw, Poland » CIECH S.A. » ELEKTRIM S.A. » Broker Analytische Messtechnik, Div. ESR/MINISPEC, Germany 3 CONTENTS CONFERENCE PROGRAM 9 LECTURES 15 RADICALS IN DNA AS SEEN BY ESR SPECTROSCOPY M.C.R. Symons 17 ELECTRON AND HOLE TRANSFER WITHIN DNA AND ITS HYDRATION LAYER M.D. Sevilla, D. Becker, Y. Razskazovskii 18 MODELS FOR PHOTOSYNTHETIC REACTION CENTER: STEADY STATE AND TIME RESOLVED EPR SPECTROSCOPY H. Kurreck, G. Eiger, M. Fuhs, A Wiehe, J. - 
												
												Chemical Database Projects Delivered by RSC Escience
Chemical Database Projects Delivered by RSC eScience at the FDA Meeting “Development of a Freely Distributable Data System for the Registration of Substances” Antony Williams RSC eScience . What was once just ChemSpider is much more… . ChemSpider Reactions . Chemicals Validation and Standardization Platform . Learn Chemistry Wiki . National Chemical Database Service . Open PHACTS . PharmaSea . Global Chemistry Hub We are known for ChemSpider… . The Free Chemical Database . A central hub for chemists to source information . >28 million unique chemical records . Aggregated from >400 data sources . Chemicals, spectra, CIF files, movies, images, podcasts, links to patents, publications, predictions . A central hub for chemists to deposit & curate data We Want to Answer Questions . Questions a chemist might ask… . What is the melting point of n-heptanol? . What is the chemical structure of Xanax? . Chemically, what is phenolphthalein? . What are the stereocenters of cholesterol? . Where can I find publications about xylene? . What are the different trade names for Ketoconazole? . What is the NMR spectrum of Aspirin? . What are the safety handling issues for Thymol Blue? I want to know about “Vincristine” Vincristine: Identifiers and Properties Vincristine: Vendors and Sources Vincristine: Articles How did we build it? . We deal in Molfiles or SDF files – with coordinates . Deposit anything that has an InChI – we support what InChI can handle, good and bad . Standardization based on “InChI standardization” . InChIs aggregate (certain) tautomers The InChI Identifier Downsides of InChI . Good for small molecules – but no polymers, issues with inorganics, organometallics, imperfect stereochemistry. ChemSpider is “small molecules” . InChI used as the “deduplicator” – FIRST version of a compound into the database becomes THE structure to deduplicate against… Side Effects of InChI Usage SMILES by comparison… Side Effects of InChI Usage Searches: The INTERNET Search by InChI ChemSpider Google Search http://www.chemspider.com/google/ How did we build it? . - 
												
												How to Read and Interpret FTIR Spectroscope of Organic Material
97| Indonesian JournalIndonesian of Science Journal & Technology of Science &,Volum Technologye 4 Issue 4 ( 11,) (20April19 )2019 97-1 18Page 97-118 Indonesian Journal of Science & Technology Journal homepage: http://ejournal.upi.edu/index.php/ijost/ How to Read and Interpret FTIR Spectroscope of Organic Material Asep Bayu Dani Nandiyanto, Rosi Oktiani, Risti Ragadhita Departemen Kimia, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi no 229 Bandung 40154, Indonesia Correspondence: E-mail: [email protected] A B S T R A C T S A R T I C L E I N F O Article History: Fourier Transform Infrared (FTIR) has been developed as a Received 10 Jan 2019 tool for the simultaneous determination of organic Revised 20 Jan 2019 components, including chemical bond, as well as organic Accepted 31 Aug 2019 Available online 09 Apr 2019 content (e.g., protein, carbohydrate, and lipid). However, ____________________ until now, there is no further documents for describing the Keywords: detailed information in the FTIR peaks. The objective of this FTIR, study was to demonstrate how to read and assess chemical infrared spectrum, organic material, bond and structure of organic material in the FTIR, in which chemical bond, the analysis results were then compared with the literatures. organic structure. The step-by-step method on how to read the FTIR data was also presented, including reviewing simple to the complex organic materials. This study is potential to be used as a standard information on how to read FTIR peaks in the biochemical and organic materials. © 2019Tim Pengembang Jurnal UPI 1. INTRODUCTION analysis is quite rapid, good in accuracy, and relatively sensitive (Jaggi and Vij, 2006). - 
												
												Numerical Methods in Electron Magnetic Resonance
NO0000039 NUMERICAL METHODS IN ELECTRON MAGNETIC RESONANCE ANALYSES AND SIMULATIONS IN QUEST OF STRUCTURAL AND DYNAMICAL PROPERTIES OF FREE RADICALS IN SOLIDS BY ANDERS RASMUS S0RNES Thesis submitted for the degree Doctor scientiarum Department of Physics, University of Oslo 1998 31-18 Preface This thesis encompasses a collection of six theoretical and experimental Electron Magnetic Resonance (EMR) studies of the structure and dynamics of free radicals in solids. Radicals are molecular systems having one or more unpaired electron. Due to their energetically unfavourable open shell configuration, they are highly reactive. Radicals are formed in different ways. They are believed to be present in many chemical reactions as short-lived intermediate products, and they are also produced in interactions of x-radiation with matter, in Compton and photoelectric processes and interactions of their secondary electrons. Longer-lived, quasistable radicals do also exist and these may be used as spin-labels or spin-probes and may be attached to larger molecules and surfaces as measurement probes to examine the environment in their immediate vicinity. EMR is a collective term for a group of spectroscopic techniques inducing and observing transitions between the Zeeman levels of a paramagnetic system, such as a radical situated in an external magnetic field. Whithin the broader concept of EMR, the particular experimental techniques of Electron Paramagnetic Resonance (EPR), ELectron Nuclear DOuble Resonance (ENDOR), Field Swept ENDOR (FSE) and Electron Spin Echo Envelope Modulation (ESEEM) are discussed in this thesis. The focal point of this thesis is the development and use of numerical methods in the analysis, simulation and interpretation of EMR experiments on radicals in solids to uncover the structure, the dynamics and the environment of the system. - 
												
												Fourier Transform Infrared (FTIR) Spectroscopy Analysis of Transformer Paper in Mineral Oil-Paper Composite Insulation Under Accelerated Thermal Aging
energies Article Fourier Transform Infrared (FTIR) Spectroscopy Analysis of Transformer Paper in Mineral Oil-Paper Composite Insulation under Accelerated Thermal Aging Abi Munajad * ID , Cahyo Subroto ID and Suwarno ID School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung 40132, Indonesia; [email protected] (C.S.); [email protected] (S.) * Correspondence: [email protected]; Tel.: +62-857-465-76059 Received: 26 December 2017; Accepted: 29 January 2018; Published: 4 February 2018 Abstract: Mineral oil is the most popular insulating liquid for high voltage transformers due to its function as a cooling liquid and an electrical insulator. Kraft paper has been widely used as transformer solid insulation for a long time already. The degradation process of transformer paper due to thermal aging in mineral oil can change the physical and chemical structure of the cellulose paper. Fourier transform infrared (FTIR) spectroscopy analysis was used to identify changes in the chemical structure of transformer paper aged in mineral oil. FTIR results show that the intensity of the peak absorbance of the O–H functional group decreased with aging but the intensity of the peak absorbance of the C–H and C=O functional groups increased with aging. Changes in the chemical structure of the cellulose paper during thermal aging in mineral oil can be analyzed by an oxidation process of the cellulose paper and the reaction process between the carboxylic acids in the mineral oil and the hydroxyl groups on the cellulose. The correlation between the functional groups and the average number of chain scissions of transformer paper gives initial information that the transformer paper performance can be identified by using a spectroscopic technique as a non-destructive diagnostic technique. - 
												
												Syllabus Chem 646
SYLLABUS CHEM 646 Course title and number Physical Organic Chemistry, CHEM 646 Term Fall 2019 Meeting times and location MWF 10:20 am – 11:10 am, Room: CHEM 2121 Course Description and Learning Outcomes Prerequisites: Organic Chemistry I and II or equivalent undergraduate organic chemistry courses. Physical Organic Chemistry (CHEM646) is a graduate/senior-undergrad level course of advanced organic chemistry. Physical organic chemistry refers to a discipline of organic chemistry that focuses on the relationship between chemical structure and property/reactivity, in particular, applying experimental and theoretical tools of physical chemistry to the study of organic molecules and reactions. Specific focal points of study include the bonding and molecular orbital theory of organic molecules, stability of organic species, transition states, and reaction intermediates, rates of organic reactions, and non-covalent aspects of solvation and intermolecular interactions. CHEM646 is designed to prepare students for graduate research on broadly defined organic chemistry. This course will provide the students with theoretical and practical frameworks to understand how organic structures impact the properties of organic molecules and the mechanism for organic reactions. By the end of this course, students should be able to: 1. Gain in-depth understanding of the nature of covalent bonds and non-covalent interactions 2. Use molecule orbital theory to interpret the property and reactivity of organic species. 3. Understand the correlation between the structure and physical/chemical properties of organic molecules, such as stability, acidity, and solubility. 4. Predict the reactivity of organic molecules using thermodynamic and kinetic analyses 5. Probe the mechanism of organic reactions using theoretical and experimental approaches. - 
												
												Predicting Outcomes of Catalytic Reactions Using Machine Learning
Predicting outcomes of catalytic reactions using ma- chine learning† Trevor David Rhone,∗a Robert Hoyt,a Christopher R. O’Connor,b Matthew M. Montemore,b,c Challa S.S.R. Kumar,b,c Cynthia M. Friend,b,c and Efthimios Kaxiras a,c Predicting the outcome of a chemical reaction using efficient computational models can be used to develop high-throughput screening techniques. This can significantly reduce the number of experiments needed to be performed in a huge search space, which saves time, effort and ex- pense. Recently, machine learning methods have been bolstering conventional structure-activity relationships used to advance understanding of chemical reactions. We have developed a model to predict the products of catalytic reactions on the surface of oxygen-covered and bare gold using machine learning. Using experimental data, we developed a machine learning model that maps reactants to products, using a chemical space representation. This involves predicting a chemical space value for the products, and then matching this value to a molecular structure chosen from a database. The database was developed by applying a set of possible reaction outcomes using known reaction mechanisms. Our machine learning approach complements chemical intuition in predicting the outcome of several types of chemical reactions. In some cases, machine learn- ing makes correct predictions where chemical intuition fails. We achieve up to 93% prediction accuracy for a small data set of less than two hundred reactions. 1 Introduction oped to aid in reaction prediction, they have generally involved Efficient prediction of reaction products has long been a major encoding this intuition into a set of rules, and have not been goal of the organic chemistry community 1–3 and the drug discov- widely adopted 2,6–9.