TIN-A Combinatorial Compound Collection of Synthetically Feasible Multicomponent Synthesis Products. Kristl V
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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. -
A Web-Based 3D Molecular Structure Editor and Visualizer Platform
Mohebifar and Sajadi J Cheminform (2015) 7:56 DOI 10.1186/s13321-015-0101-7 SOFTWARE Open Access Chemozart: a web‑based 3D molecular structure editor and visualizer platform Mohamad Mohebifar* and Fatemehsadat Sajadi Abstract Background: Chemozart is a 3D Molecule editor and visualizer built on top of native web components. It offers an easy to access service, user-friendly graphical interface and modular design. It is a client centric web application which communicates with the server via a representational state transfer style web service. Both client-side and server-side application are written in JavaScript. A combination of JavaScript and HTML is used to draw three-dimen- sional structures of molecules. Results: With the help of WebGL, three-dimensional visualization tool is provided. Using CSS3 and HTML5, a user- friendly interface is composed. More than 30 packages are used to compose this application which adds enough flex- ibility to it to be extended. Molecule structures can be drawn on all types of platforms and is compatible with mobile devices. No installation is required in order to use this application and it can be accessed through the internet. This application can be extended on both server-side and client-side by implementing modules in JavaScript. Molecular compounds are drawn on the HTML5 Canvas element using WebGL context. Conclusions: Chemozart is a chemical platform which is powerful, flexible, and easy to access. It provides an online web-based tool used for chemical visualization along with result oriented optimization for cloud based API (applica- tion programming interface). JavaScript libraries which allow creation of web pages containing interactive three- dimensional molecular structures has also been made available. -
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). -
Titelei 1..30
Johann Gasteiger, Thomas Engel (Eds.) Chemoinformatics Chemoinformatics: A Textbook. Edited by Johann Gasteiger and Thomas Engel Copyright 2003 Wiley-VCH Verlag GmbH & Co. KGaA. ISBN: 3-527-30681-1 Related Titles from WILEY-VCH Hans-Dieter HoÈltje, Wolfgang Sippl, Didier Rognan, Gerd Folkers Molecular Modeling 2003 ISBN 3-527-30589-0 Helmut GuÈnzler, Hans-Ulrich Gremlich IR Spectroscopy An Introduction 2002 ISBN 3-527-28896-1 Jure Zupan, Johann Gasteiger Neural Networks in Chemistry and Drug Design An Introduction 1999 ISBN 3-527-29778-2 (HC) ISBN 3-527-29779-0 (SC) Siegmar Braun, Hans-Otto Kalinowski, Stefan Berger 150 and More Basic NMR Experiments A Practical Course 1998 ISBN 3-527-29512-7 Johann Gasteiger, Thomas Engel (Eds.) Chemoinformatics A Textbook Editors: This book was carefully produced. Never- theless, editors, authors and publisher do Prof. Dr. Johann Gasteiger not warrant the information contained Computer-Chemie-Centrum and Institute therein to be free of errors. Readers are ofOrganic Chemistry advised to keep in mind that statements, University ofErlangen-NuÈrnberg data, illustrations, procedural details or NaÈgelsbachstraûe 25 other items may inadvertently be inaccurate. 91052 Erlangen Germany Library of Congress Card No.: applied for A catalogue record for this book is available from the British Library. Dr. Thomas Engel Computer-Chemie-Centrum and Institute Bibliographic information published by ofOrganic Chemistry Die Deutsche Bibliothek University ofErlangen-NuÈrnberg Die Deutsche Bibliothek lists this publica- NaÈgelsbachstraûe 25 tion in the Deutsche Nationalbibliografie; 91052 Erlangen detailed bibliographic data is available in the Germany Internet at http://dnb.ddb.de ISBN 3-527-30681-1 c 2003 WILEY-VCH Verlag GmbH & Co. -
Computer-Aided Information Retrieval and Management System from Scientific Documents
Computergestützte Informationsbeschaffung und -verwaltung aus wissenschaftlichen Dokumenten Computer-aided information retrieval and management system from scientific documents Zur Erlangung des akademischen Grades eines DOKTORS DER NATURWISSENSCHAFTEN (Dr. rer. nat.) von der KIT-Fakultät für Chemie und Biowissenschaften des Karlsruher Instituts für Technologie (KIT) genehmigte DISSERTATION von M.Sc. Thanh Cam An Nguyen aus Hue, Vietnam Dekan: Prof. Dr. Manfred Wilhelm Referent: Prof. Dr. Stefan Bräse Koreferent: Prof. Dr. Ralf H. Reussner Tag der mündlichen Prüfung: 12.12.2019 Für meine Familie, meine Freunde und mich. Probleme kann man niemals mit derselben Denkweise lösen, durch die sie entstanden sind. - Albert Einstein Die vorliegende Arbeit wurde in der Zeit vom 15.06.2016 bis 06.11.2019 am Institut für Organische Chemie der Fakultät für Chemie und Biowissenschaften am Karlsruher Institut für Technologie (KIT) Campus Nord unter der Leitung von Prof. Dr. Stefan Bräse angefertigt. Hiermit versichere ich, die vorliegende Dissertation selbstständig verfasst und ohne unerlaubte Hilfsmittel angefertigt zu haben. Es wurden keine anderen als die angegebenen Quellen und Hilfsmittel benutzt. Die aus Quellen – wörtlich oder inhaltlich – entnommenen Stellen wurden als solche kenntlich gemacht. Die Arbeit wurde bisher weder in gleicher, noch in ähnlicher Form einer anderen Prüfungsbehörde vorgelegt oder veröffentlicht. Ich habe die Regeln zur Sicherung guter wissenschaftlicher Praxis im Karlsruher Institut für Technologie (KIT) beachtet. Table -
Open Source Molecular Modeling
Accepted Manuscript Title: Open Source Molecular Modeling Author: Somayeh Pirhadi Jocelyn Sunseri David Ryan Koes PII: S1093-3263(16)30118-8 DOI: http://dx.doi.org/doi:10.1016/j.jmgm.2016.07.008 Reference: JMG 6730 To appear in: Journal of Molecular Graphics and Modelling Received date: 4-5-2016 Accepted date: 25-7-2016 Please cite this article as: Somayeh Pirhadi, Jocelyn Sunseri, David Ryan Koes, Open Source Molecular Modeling, <![CDATA[Journal of Molecular Graphics and Modelling]]> (2016), http://dx.doi.org/10.1016/j.jmgm.2016.07.008 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Open Source Molecular Modeling Somayeh Pirhadia, Jocelyn Sunseria, David Ryan Koesa,∗ aDepartment of Computational and Systems Biology, University of Pittsburgh Abstract The success of molecular modeling and computational chemistry efforts are, by definition, de- pendent on quality software applications. Open source software development provides many advantages to users of modeling applications, not the least of which is that the software is free and completely extendable. In this review we categorize, enumerate, and describe available open source software packages for molecular modeling and computational chemistry. 1. Introduction What is Open Source? Free and open source software (FOSS) is software that is both considered \free software," as defined by the Free Software Foundation (http://fsf.org) and \open source," as defined by the Open Source Initiative (http://opensource.org). -
Amber 2021 Reference Manual (Covers Amber20 and Ambertools21)
Amber 2021 Reference Manual (Covers Amber20 and AmberTools21) Amber 2021 Reference Manual (Covers Amber20 and AmberTools21) Principal contributors to the current codes: David A. Case (Rutgers) Robert E. Duke (UNT) Ross C. Walker (UC San Diego, GSK) Nikolai R. Skrynnikov (Purdue, SPbU) Thomas E. Cheatham III (Utah) Oleg Mikhailovskii (Purdue, SPbU) Carlos Simmerling (Stony Brook) Yi Xue (Tsinghua) Adrian Roitberg (Florida) Sergei A. Izmailov (SPbU) Kenneth M. Merz (Michigan State) Koushik Kasavajhala (Stony Brook) Ray Luo (UC Irvine) Kellon Belfon (Stony Brook) Pengfei Li (Yale, Loyola) Jana Shen (Maryland) Tom Darden (OpenEye) Robert Harris (Maryland) Celeste Sagui (NCSU) Alexey Onufriev (Virginia Tech) Feng Pan (FSU) Saeed Izadi (Virginia Tech, Genentech) Junmei Wang (Pitt) Xiongwu Wu (NIH) Daniel R. Roe (NIH) Holger Gohlke (Düsseldorf/FZ Jülich) Scott LeGrand (NVIDIA) Stephan Schott-Verdugo (FZ Jülich) Jason Swails (Lutron) Ruxi Qi (UC Irvine) Andreas W. Götz (UC San Diego) Haixin Wei (UC Irvine) Jamie Smith (USC) Shiji Zhao (UC Irvine) David Cerutti (Rutgers) Edward King (UC Irvine) Taisung Lee (Rutgers) George Giambasu (Rutgers) Darrin York (Rutgers) Jian Liu (Peking Univ.) Tyler Luchko (CSU Northridge) Hai Nguyen (Rutgers) Viet Man (Pitt) Scott R. Brozell (Rutgers) Vinícius Wilian D. Cruzeiro (UC San Diego) Andriy Kovalenko (NINT) Gérald Monard (U. Lorraine) Mike Gilson (UC San Diego) Yinglong Miao (Kansas) Ido Ben-Shalom (UC San Diego) Jinan Wang (Kansas) Tom Kurtzman (CUNY) Romain M. Wolf (Bangkok, Thailand) Sergio Pantano (Inst. Pasteur, Uruguay) Charles Lin (Silicon Therapeutics) Matias Machado (Inst. Pasteur, Uruguay) G. Andrés Cisneros (UNT) H. Metin Aktulga (Michigan State) Ali Rahnamoun (Michigan State) Mehmet Cagri Kaymak (Michigan State) Chi Jin (Michigan State) Kurt A. -
Useful Molecular Modelling and Drug Design Softwares and Databases
Useful Molecular Modelling and Drug Design Softwares and Databases Compiled by Bhakat Soumrndranath ([email protected]) - Dr Soliman’s Molecular Modelling and Drug Design Lab Databases Chemical Structure Databases: ZINC: a free database of commercially-available compounds for virtual screening. ZINC contains over 21 million purchasable compounds in ready-to-dock, 3D formats. ZINC is provided by the Shoichet Laboratory in the Department of Pharmaceutical Chemistry at the University of California, San Francisco (UCSF). To cite ZINC, please reference: Irwin, Sterling, Mysinger, Bolstad and Coleman, J. Chem. Inf. Model. 2012 DOI: 10.1021/ci3001277. ChEMBL: It is a database of bioactive drug-like small molecules, it contains 2-D structures, calculated properties (e.g. logP, Molecular Weight, Lipinski Parameters, etc.) and abstracted bioactivities (e.g. binding constants, pharmacology and ADMET data). ChemSpider: ChemSpider is a free chemical structure database providing fast text and structure search access to over 28 million structures from hundreds of data sources. ChemSpider SyntheticPages, CS|SP, extends this model to cover reactions, providing quick publication, peer review and semantic enhancement of repeatable reactions. Maintained by: Royal Society of Chemistry Drug Bank: The DrugBank database is a unique bioinformatics and cheminformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. The database contains 6712 drug entries including 1448 FDA- approved small molecule drugs, 131 FDA-approved biotech (protein/peptide) drugs, 86 nutraceuticals and 5079 experimental drugs and many more. Supported By: Genome Alberta & Genome Canada. This project is also supported in part by GenomeQuest, Inc. -
WHAT INFLUENCE WOULD a CLOUD BASED SEMANTIC LABORATORY NOTEBOOK HAVE on the DIGITISATION and MANAGEMENT of SCIENTIFIC RESEARCH? by Samantha Kanza
UNIVERSITY OF SOUTHAMPTON Faculty of Physical Sciences and Engineering School of Electronics and Computer Science What Influence would a Cloud Based Semantic Laboratory Notebook have on the Digitisation and Management of Scientific Research? by Samantha Kanza Thesis for the degree of Doctor of Philosophy 25th April 2018 UNIVERSITY OF SOUTHAMPTON ABSTRACT FACULTY OF PHYSICAL SCIENCES AND ENGINEERING SCHOOL OF ELECTRONICS AND COMPUTER SCIENCE Doctor of Philosophy WHAT INFLUENCE WOULD A CLOUD BASED SEMANTIC LABORATORY NOTEBOOK HAVE ON THE DIGITISATION AND MANAGEMENT OF SCIENTIFIC RESEARCH? by Samantha Kanza Electronic laboratory notebooks (ELNs) have been studied by the chemistry research community over the last two decades as a step towards a paper-free laboratory; sim- ilar work has also taken place in other laboratory science domains. However, despite the many available ELN platforms, their uptake in both the academic and commercial worlds remains limited. This thesis describes an investigation into the current ELN landscape, and its relationship with the requirements of laboratory scientists. Market and literature research was conducted around available ELN offerings to characterise their commonly incorporated features. Previous studies of laboratory scientists examined note-taking and record-keeping behaviours in laboratory environments; to complement and extend this, a series of user studies were conducted as part of this thesis, drawing upon the techniques of user-centred design, ethnography, and collaboration with domain experts. These user studies, combined with the characterisation of existing ELN features, in- formed the requirements and design of a proposed ELN environment which aims to bridge the gap between scientists' current practice using paper lab notebooks, and the necessity of publishing their results electronically, at any stage of the experiment life cycle. -
Oscylacyjna Spektroskopia Obliczeniowa
Metody obliczeniowe i analizy danych w oscylacyjnej spektroskopii obliczeniowej Wykład (wybrane slajdy) Oscylacyjna spektroskopia obliczeniowa ©W.J. 2018 Co to jest oscylacyjna spektroskopia obliczeniowa? – Dział wiedzy zajmujący się obliczaniem i interpretacją widm teoretycznych nazywa się spektroskopią obliczeniową (ang. „computational spectroscopy”), jej poddziałem jest oscylacyjna spektroskopia obliczeniowa – Dziedzina spektroskopii obliczeniowej jest stara ale dopiero ostatnie kilkanaście lat dało wystarczająco silne komputery, żeby prowadzić obliczenia dla – dużych molekuł (i kryształów) – lub dla małych ale z dużą precyzją obliczeń ALE nadal nie są to komputery biurkowe (dni, tygodnie obliczeń, czasem dłużej) – Spektroskopia obliczeniowa jest częścią modelowania molekularnego – Modelowanie molekularne najczęściej używa metod chemii kwantowej i/lub dynamiki molekularnej do przewidywania właściwości cząsteczek i ich układów (np. kryształów) – Widmo oscylacyjne pochodzi od oscylacji a one zależą od budowy molekuły/kryształu, głównie od mas, siły i rodzaju wiązań chemicznych. Musimy więc to obliczyć lub założyć i dopiero wtedy możemy obliczyć widmo – W praktyce wspieramy się różnorodnym oprogramowaniem (np. komercyjne „Materials Studio”) Literatura i inne źródła wiedzy o spektroskopii obliczeniowej – Z literaturą do spektroskopii obliczeniowej jest problem bo są jedynie książki teoretyczne – i brak jest praktycznych podręczników (takich typu „krok po kroku”), no i tym bardziej nie ma takich po polsku! – Pozostaje studiowanie manuali -
S.A. Raja Pharmacy College Vadakkangulam-627 116
S.A. RAJA PHARMACY COLLEGE VADAKKANGULAM-627 116 MEDICINAL CHEMISTRY -III VI SEMESTER B. PHARM PRACTICAL MANUAL CONTENT S.No Experiment Name Page No. 1. Synthesis of Sulphanilamide 01 2. Synthesis of 7- Hydroxy -4- methyl coumarin 03 3. Synthesis of Chlorbutanol 05 4. Synthesis of Tolbutamide 07 5. Synthesis of Hexamine 09 6. Assay of Isonicotinic acid hydrazide 11 7. Assay of Metronidazole 13 8. Assay of Dapsone 16 9. Assay of Chlorpheniramine Maleate 18 10. Assay of Benzyl Penicillin 20 11. Synthesis of Phenytoin from Benzil by Microwave 23 Irradiation 12. Synthesis of Aspirin Assisted by Microwave Oven 26 13. Drawing structure and Reaction using Chemsketch 28 MEDICINAL CHEMISTRY- III Experiment No: 01 Synthesis of Sulphanilamide Aim: To synthesis and submit sulphanilamide from p-acetamido benzene sulphanilamide and calculate its percentage yield. Principle: Sulphanilamide can be prepared by the reaction of P-acetamido benzene sulphanilamide with Hydrochloric acid or ammonium carbonate. The acetamido groups are easily undergo acid catalysed hydrolysis reaction to form p-amino benzene sulphonamide. Reaction: O HN H2N HCl O S O O S O NH NH2 2 4 Acetamidobenzene sulphonamide p Amino benzene sulphonamide Chemical Required: Resorcinol - 1.2 g Ethyl acetoacetate - 2.4 ml Conc. Sulphuric acid - 7.5 ml Procedure: 1.5 gm of 4- acetamido benzene sulphonamide is treated with a mixture of 1 ml of conc. Sulphuric acid diluted with 2 ml water. This mixture is gently heated under reflux for 1 hour. Then 3ml of water is added and the solution is boiled again, with the addition of a small quantity of activated charcoal. -
Isurvey - Online Questionnaire Generation from the University of Southampton
1/17/2018 iSurvey - Online Questionnaire Generation from the University of Southampton Investigating the use of software for Chemists Survey Study Information Study title: Investigating the use of software for Chemists Survey Researcher name: Samantha Kanza Study reference: iSurvey 16857 Ethics reference: Ergo 17642 – Chemistry Tools Survey Participant Information Please read this information carefully before deciding to take part in this research. If you are happy to participate you will be asked to check the consent form box. What is the research about? This research is for my PhD in Computer Science and Chemistry. I am coming to the end of the first year of my PhD and I am looking to investigate the use of chemistry tools to better understand what type of tools chemists actually use. This is a very simple survey that asks what type of chemist you are, and what types of tools you use, and if applicable which specific tools of that type you use. This PhD is part of the Web Science CDT and is funded by EPSRC. Why have I been chosen? You have been chosen because you work in chemistry. What will happen to me if I take part? This is a short survey that is being conducted to get a better idea of the usage of chemistry tools. Are there any benefits in my taking part? This survey will form part of a body of research aimed to improve the understanding of how chemists use technology to assist their work. Are there any risks involved? There are no risks involved. Will my participation be confidential? Your participation will be confidential.