Titelei 1..30
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Quantitative Structure–Activity Relationships (Qsar) Study on Novel 4-Amidinoquinoline and 10- Amidinobenzonaphthyridine Derivatives As Potent Antimalaria Agent
JCECThe Journal of Engineering and Exact Sciences – JCEC, Vol. 05 N. 03 (2019) journal homepage: https://periodicos.ufv.br/ojs/jcec doi: 10.18540/jcecvl5iss3pp0271-0282 OPEN ACCESS – ISSN: 2527-1075 QUANTITATIVE STRUCTURE–ACTIVITY RELATIONSHIPS (QSAR) STUDY ON NOVEL 4-AMIDINOQUINOLINE AND 10- AMIDINOBENZONAPHTHYRIDINE DERIVATIVES AS POTENT ANTIMALARIA AGENT A. W. MAHMUD1, G. A. SHALLANGWA1 and A. UZAIRU1 1Ahmadu Bello University, Department of Chemistry, Zaria, Kaduna, Nigeria. A R T I C L E I N F O A B S T R A C T Article history: Quantitative structure–activity relationships (QSAR) has been a reliable study in the Received 2019-02-16 development of models that predict biological activities of chemical substances based on Accepted 2019-06-27 Available online 2019-06-30 their structures for the development of novel chemical entities. This study was carried out on 44 compounds of 4-amidinoquinoline and 10-amidinobenzonaphthyridine derivatives to p a l a v r a s - c h a v e develop a model that relates their structures to their activities against Plasmodium QSAR falciparum. Density Functional Theory (DFT) with basis set B3LYP/6-31G was used to ∗ Antimalaria optimize the compounds. Genetic Function Algorithm (GFA) was employed in selecting Plasmodium falciparum descriptors and building the model. Four models were generated and the model with best 4-Amidinoquinolina internal and external validation has internal squared correlation coefficient ( 2) of 0.9288, k e y w o r d s adjusted squared correlation coefficient ( adj) of 0.9103, leave-one-out (LOO) cross- 2 2 QSAR validation coefficient ( cv) value of 0.8924 and external squared correlation coefficient ( ) Antimalaria value of 0.8188. -
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 ................................................. -
Reversal of Multidrug Resistance in Mouse Lymphoma Cells by Extracts and Flavonoids from Pistacia Integerrima
DOI:http://dx.doi.org/10.7314/APJCP.2016.17.1.51 Reversal of Multidrug Resistance in Mouse Lymphoma Cells by Extract and Flavonoids from Pistacia integerrima RESEARCH ARTICLE Reversal of Multidrug Resistance in Mouse Lymphoma Cells by Extracts and Flavonoids from Pistacia integerrima Abdur Rauf1*, Ghias Uddin2, Muslim Raza3, Bashir Ahmad4, Noor Jehan1, Bina S Siddiqui5, Joseph Molnar6, Akos Csonka6, Diana Szabo6 Abstract Phytochemical investigation of Pistacia integerrima has highlighted isolation of two known compounds naringenin (1) and dihydrokaempferol (2). A crude extract and these isolated compounds were here evaluated for their effects on reversion of multidrug resistance (MDR) mediated by P-glycoprotein (P-gp). The multidrug resistance P-glycoprotein is a target for chemotherapeutic drugs from cancer cells. In the present study rhodamine- 123 exclusion screening test on human mdr1 gene transfected mouse gene transfected L5178 and L5178Y mouse T-cell lymphoma cells showed excellent MDR reversing effects in a dose dependent manner. In-silico molecular docking investigations demonstrated a common binding site for Rhodamine123, and compounds naringenin and dihydrokaempferol. Our results showed that the relative docking energies estimated by docking softwares were in satisfactory correlation with the experimental activities. Preliminary interaction profile of P-gp docked complexes were also analysed in order to understand the nature of binding modes of these compounds. Our computational investigation suggested that the compounds interactions with the hydrophobic pocket of P-gp are mainly related to the inhibitory activity. Moreover this study s a platform for the discovery of novel natural compounds from herbal origin, as inhibitor molecules against the P-glycoprotein for the treatment of cancer. -
Organi &C Biomolecular Chemistry
Organic Biomolecular& Chemistry INDEXED IN MEDLINE Incorporating Acta Chemica Scandinavica Instructions for Authors (2004) Also see www.rsc.org/illustrations and www.rsc.org/electronicfiles CONTENTS 1.0 General Policy 1.0 General Policy Organic & Biomolecular Chemistry is a bimonthly journal 1.1 Articles for the publication of original research papers (articles), 1.2 Communications communications, Emerging Areas and Perspectives focusing on 1.3 Emerging Areas all aspects of synthetic, physical and biomolecular organic 1.4 Perspective Articles chemistry. 1.5 Submission of Articles Authors should note that papers that mainly emphasise the novel properties, applications or potential applications of 2.0 Administration materials may be more suited for submission to Journal of Materials Chemistry. (http://www.rsc.org/materials). 3.0 Notes on the Preparation of Papers There is no page charge for papers published in Organic & 3.1 Organisation of Material Biomolecular Chemistry. 3.2 Artwork Guidelines 3.3 Nomenclature Scope of the Journal 3.4 Deposition of Supplementary Data Organic & Biomolecular Chemistry brings together molecular 3.5 Guidelines on submitting files for proof preparation design, synthesis, structure, function and reactivity in one journal. It publishes fundamental work on synthetic, physical 4.0 Experimental and Characterisation Requirements and biomolecular organic chemistry as well as all organic 4.1 Physical Characteristics of Compounds aspects of: chemical biology, medicinal chemistry, natural 4.2 Characterisation of New Compounds -
Molecular Dynamics Simulations of Tight Junction Proteins
Molecular Dynamics Simulations of Tight Junction Proteins Eleni Fitsiou This dissertation is submitted for the degree of Doctor of Philosophy August 2020 Department of Chemistry I would like to dedicate this dissertation to my husband Antonios and sons Dimitrios and Ioannis. ii “Wisdom begins in wonder” Socrates iii Declaration I, Eleni Fitsiou, declare that this thesis titled ‘Molecular Dynamics Simulations of Tight Junction Proteins’ has not been submitted in support of an application for another degree at this or any other university. It is the result of my own work and includes nothing that is the outcome of work done in collaboration except where specifically indicated. Where I have quoted from the work of others, the source is always given. Lancaster University, UK iv Abstract Tight junctions (TJs) are specialised cell-cell structures that serve primarily as a barrier to molecular transport through the intercellular space between the cells. The claudin family of proteins are the main structural and functional components of the TJ strands that circumscribe the cells. The detailed molecular organisation at the TJs is not entirely resolved, being relatively inaccessible by current experimental methods. Here, we have employed molecular dynamics simulations using both atomistic and coarse-grained models to investigate the TJ structure formed by claudin-1 using self-assembly coupled with free energy calculations and enhanced sampling techniques. A feature of the studies is that the self-assembly simulations have been carried out using atomistic detail (a first) by simulating only the extracellular domains of claudin-1 in an implied membrane. The results show that the cis-interaction can occur in the absence of trans-interacting partners and that a claudin dimer is the smallest stable unit. -
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. -
Interpretation of Molecule Conformations from Drawn Diagrams” by Dana Tenneson, Ph.D., Brown University, May 2008
Abstract of \Interpretation of Molecule Conformations from Drawn Diagrams" by Dana Tenneson, Ph.D., Brown University, May 2008. In chemistry, molecules are drawn on paper and chalkboards as diagrams consisting of lines, letters, and symbols which represent not only the atoms and bonds in the molecules but concisely encode cues to the 3D geometry of the molecules. Recent efforts into pen-based input methods for chemistry software have made progress at allowing chemists to input 2D diagrams of molecules into a computer simply by drawing them on a digitizer tablet. However, the task of interpreting these parsed sketches into proper 3D models has been largely unsolved due to the difficulty in making the models satisfy both the natural properties of molecule structure and the geometric cues made explicit in the drawing. This dissertation presents a set of techniques developed to solve this model construction problem within the context of an educational application for chemistry students. Our primary contribution is a framework for combining molecular structure knowledge and molecule diagram understanding via augmenting molecular mechanics equations to include drawing-based penalty terms. Additionally, we present an algorithm for generating molecule models from drawn diagrams which leverages domain- specific and diagram-driven heuristics. These heuristics make our process fast and accurate enough for molecule diagram drawing to be used as an interactive technique for model construction on modern Tablet PC computers. Interpretation of Molecule Conformations -
Introduction to Bioinformatics (Elective) – SBB1609
SCHOOL OF BIO AND CHEMICAL ENGINEERING DEPARTMENT OF BIOTECHNOLOGY Unit 1 – Introduction to Bioinformatics (Elective) – SBB1609 1 I HISTORY OF BIOINFORMATICS Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biologicaldata. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. Bioinformatics has been used for in silico analyses of biological queries using mathematical and statistical techniques. Bioinformatics derives knowledge from computer analysis of biological data. These can consist of the information stored in the genetic code, but also experimental results from various sources, patient statistics, and scientific literature. Research in bioinformatics includes method development for storage, retrieval, and analysis of the data. Bioinformatics is a rapidly developing branch of biology and is highly interdisciplinary, using techniques and concepts from informatics, statistics, mathematics, chemistry, biochemistry, physics, and linguistics. It has many practical applications in different areas of biology and medicine. Bioinformatics: Research, development, or application of computational tools and approaches for expanding the use of biological, medical, behavioral or health data, including those to acquire, store, organize, archive, analyze, or visualize such data. Computational Biology: The development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems. "Classical" bioinformatics: "The mathematical, statistical and computing methods that aim to solve biological problems using DNA and amino acid sequences and related information.” The National Center for Biotechnology Information (NCBI 2001) defines bioinformatics as: "Bioinformatics is the field of science in which biology, computer science, and information technology merge into a single discipline. -
Chemical File Format Conversion Tools : a N Overview
International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 3 Issue 2, February - 2014 Chemical File Format Conversion Tools : A n Overview Kavitha C. R Dr. T Mahalekshmi Research Scholar, Bharathiyar University Principal Dept of Computer Applications Sree Narayana Institute of Technology SNGIST Kollam, India Cochin, India Abstract— There are a lot of chemical data stored in large different chemical file formats. Three types of file format databases, repositories and other resources. These data are used conversion tools are discussed in section III. And the by different researchers in different applications in various areas conclusion is given in section IV followed by the references. of chemistry. Since these data are stored in several standard chemical file formats, there is a need for the inter-conversion of II. CHEMICAL FILE FORMATS chemical structures between different formats because all the formats are not supported by various software and tools used by A chemical is a collection of atoms bonded together the researchers. Therefore it becomes essential to convert one file in space. The structure of a chemical makes it unique and format to another. This paper reviews some of the chemical file gives it its physical and biological characteristics. This formats and also presents a few inter-conversion tools such as structure is represented in a variety of chemical file formats. Open Babel [1], Mol converter [2] and CncTranslate [3]. These formats are used to represent chemical structure records and its associated data fields. Some of the file Keywords— File format Conversion, Open Babel, mol formats are CML (Chemical Markup Language), SDF converter, CncTranslate, inter- conversion tools. -
ED359038.Pdf
DOCUMENT RESUME ED 359 038 SE 053 379 AUTHOR Russell, Arlene A., Ed. TITLE Changing the Image of Chemistry. Biennial Conference on Chemical Education, Abstracts (12th, Davis, California, August 2-6, 1992). INSTITUTION American Chemical Society, Washington, DC. Div. of Chemical Education. SPONS AGENCY American Chemical Society, Washington, DC. Div. of Chemical Education.; California Univ., Davis. PUB DATE Aug 92 NOTE 151p.; For abstracts from the previous conference, see ED 324 245. PUB TYPE Collected Works Conference Proceedings (021) EDRS PRICE MF01/PC07 Plus Postage. DESCRIPTORS Chemical Equilibrium; Chemical Reactions; *Chemistry; Classroom Research; College Science; *Computer Assisted Instruction; Computer Uses in Education; Concept Formation; Demonstrations (Educational); Educational Research; Elementary School Science; Elementary Secondary Education; Higher. Education; High Schools; Hypothesis Testing: Physical Sciences: Problem Solving; *Science Education; *Science Laboratories; Science Materials; Science Teachers; Scientific Literacy; Secondary School Science; Teacher Education IDENTIFIERS Hands On Science; Science Process Skills ABSTRACT This document contains 395 abstracts of presentations on the theme of changing the image of chemistry, made ata conference on chemical education. Included with the abstractsare the presenters' names and addresses. The conferenceincluded the following sessions: Lecture and Learning:Are They Compatible?; ChemSource; Relevant Chemistry for the Non-Science Major; Industry-Education Initiatives; Innovative -
Drug Discovery Informatics Registration Systems and Underlying Toolkits (Appendices 1 and 2) 271 Subject Appendices
SUBJECT APPENDICES DRUG DISCOVERY INFORMATICS REGISTRATION SYSTEMS AND UNDERLYING TOOLKITS (APPENDICES 1 AND 2) Appendix 1: DRUG, MOLECULAR REGISTRATION SYSTEMS, AND CHEMISTRY DATA CARTRIDGES Product Company Page Website Isentris, MDL- MDL 171 http://www.mdli.com Base, ISIS- Base ChemOffice Cambridgesoft 73 http://www.cambridgesoft.com Cambridgesoft CambridgeSoft 73 http://www.cambridgesoft.com/solutions/ Enterprise Solutions ActivityBase IDBS 152 http://www.idbs.com/products/abase/ Accord Accelrys 51 http://www.accelrys.com AUSPYX Tripos 261 http://www.tripos.com CBIS ChemInnovation 103 http://www.cheminnovation.com/ (Chemical and Software Biological Informatics Systems) ACD/SpecDB ACD Labs 59 http://www.acdlabs.com (Spectral Data Management System) - Analytical data capture tools Super Package BioByte 71 http://www.biobyte.com/index.html /THOR (Daylight) JChem ChemAxon 89 http://www.chemaxon.com Cartridge Software for Infochem 156 http://www.infochem.de/en/company/ Chemical index.shtml databases and chemical data processes 271 272 CHEMOINFORMATICS The InfoChem Infochem 156 http://www.infochem.de/eng/index.htm Chemistry Cartridge for Oracle Molecular Collaborative 115 http://www.collaborativedrug.com/ Databank Drug Discovery DayCart Daylight 123 http://www.daylight.com/ Chemical Information Systems, Inc. CHED, TimTec 254 http://software.timtec.net/ Chemdbsoft MDL Isentris MDL 171 http://www.mdli.com platform (ISIS Base), ChemBio AE, AssayExplorer Appendix 2: CHEMOINFORMATICS TOOLKITS TO DEVELOP APPLICATIONS Product Company Page Website -
Multitarget Molecular Hybrids of Cinnamic Acids
Molecules 2014, 19, 20197-20226; doi:10.3390/molecules191220197 OPEN ACCESS molecules ISSN 1420-3049 www.mdpi.com/journal/molecules Article Multitarget Molecular Hybrids of Cinnamic Acids Aikaterini Peperidou 1, Dorothea Kapoukranidou 2, Christos Kontogiorgis 3 and Dimitra Hadjipavlou-Litina 1,* 1 Department of Pharmaceutical Chemistry, School of Pharmacy, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece; E-Mail: [email protected] 2 Department of Physiology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece; E-Mail: [email protected] 3 Laboratory of Hygiene and Environmental Protection, Medical School, Democritus University of Thrace, Dragana (Campus), Alexandroupolis 68100, Greece; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +30-231-099-7627; Fax: +30-231-099-7679. External Editor: Derek J. McPhee Received: 27 October 2014; in revised form: 14 November 2014 / Accepted: 25 November 2014 / Published: 2 December 2014 Abstract: In an attempt to synthesize potential new multitarget agents, 11 novel hybrids incorporating cinnamic acids and paracetamol, 4-/7-hydroxycoumarin, benzocaine, p-aminophenol and m-aminophenol were synthesized. Three hybrids—2e, 2a, 2g—and 3b were found to be multifunctional agents. The hybrid 2e derived from the phenoxyphenyl cinnamic acid and m-acetamidophenol showed the highest lipoxygenase (LOX) inhibition and analgesic activity (IC50 = 0.34 μΜ and 98.1%, whereas the hybrid 3b of bromobenzyloxycinnamic acid and hymechromone exhibited simultaneously good LOX inhibitory activity (IC50 = 50 μΜ) and the highest anti-proteolytic activity (IC50= 5 μΜ). The hybrid 2a of phenyloxyphenyl acid with paracetamol showed a high analgesic activity (91%) and appears to be a promising agent for treating peripheral nerve injuries.