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1 Abietic Acid R Abrasive Silica for Polishing DR Acenaphthene M (LC
1 abietic acid R abrasive silica for polishing DR acenaphthene M (LC) acenaphthene quinone R acenaphthylene R acetal (see 1,1-diethoxyethane) acetaldehyde M (FC) acetaldehyde-d (CH3CDO) R acetaldehyde dimethyl acetal CH acetaldoxime R acetamide M (LC) acetamidinium chloride R acetamidoacrylic acid 2- NB acetamidobenzaldehyde p- R acetamidobenzenesulfonyl chloride 4- R acetamidodeoxythioglucopyranose triacetate 2- -2- -1- -β-D- 3,4,6- AB acetamidomethylthiazole 2- -4- PB acetanilide M (LC) acetazolamide R acetdimethylamide see dimethylacetamide, N,N- acethydrazide R acetic acid M (solv) acetic anhydride M (FC) acetmethylamide see methylacetamide, N- acetoacetamide R acetoacetanilide R acetoacetic acid, lithium salt R acetobromoglucose -α-D- NB acetohydroxamic acid R acetoin R acetol (hydroxyacetone) R acetonaphthalide (α)R acetone M (solv) acetone ,A.R. M (solv) acetone-d6 RM acetone cyanohydrin R acetonedicarboxylic acid ,dimethyl ester R acetonedicarboxylic acid -1,3- R acetone dimethyl acetal see dimethoxypropane 2,2- acetonitrile M (solv) acetonitrile-d3 RM acetonylacetone see hexanedione 2,5- acetonylbenzylhydroxycoumarin (3-(α- -4- R acetophenone M (LC) acetophenone oxime R acetophenone trimethylsilyl enol ether see phenyltrimethylsilyl... acetoxyacetone (oxopropyl acetate 2-) R acetoxybenzoic acid 4- DS acetoxynaphthoic acid 6- -2- R 2 acetylacetaldehyde dimethylacetal R acetylacetone (pentanedione -2,4-) M (C) acetylbenzonitrile p- R acetylbiphenyl 4- see phenylacetophenone, p- acetyl bromide M (FC) acetylbromothiophene 2- -5- -
Agilent Technologies, Inc
SOLICITATION: RFB 10850 I OPENING DATE: Thursday, April 22, 2021 PROJECT: LIQUID CHROMATOGRAPHY SYSTEM BIDDER BASIS OF AWARD PREFERRED VENDOR ADJUSTED PRICE Aligent $378,035.10 NIA Water Technologies $314,644.43 NIA Bid Officer: Bid Clerk: This Notice oflntent to Award I Abstract ONLY indicates the APPARENT low bidder. Conditions that may displace an apparent low bidder include, but are not limited to: math errors, conditioning of bid, mistake in bid, failing pre-award Survey, and the bid being non responsive. Bids Received Agilent Technologies, Inc. 800 227 9770 telephone LSCA Customer Sales and Service 302 993 5941 facsimile 2850 Centerville Road, MS 3J7 www.agilent.com Wilmington, DE 19808 Email: [email protected] April 21, 2021 County of San Diego 5560 Overland Avenue, Suite 270 San Diego, CA 92123-1204 Attn: Lina Kim Re: RFB - 10850 Dear Lina, Agilent Technologies, Inc. (hereinafter, “Agilent”) is pleased to respond to the subject Request for Quote. Agilent (NYSE: A) is a preeminent leader in the life sciences, diagnostics, and applied chemical markets worldwide. The company provides laboratories all over the world with exceptional instruments, services, consumables, applications and expertise, enabling its customers to gain the insights and knowledge that they seek. Agilent’s expertise and trusted collaboration provide its customers with the highest confidence in our solutions. Agilent is bidding in accordance with Agilent’s Quotation # 3545728 (the “Quotations”) with 1290 Infinity II / G6230BA in lieu of the specified Water’s instrumentation in response to the attached Request for Quote RFB – 10850 the “RFQ”), and is in full compliance with the requirements of the RFQ and any amendments thereto. -
Nicolet Vapor Phase
Nicolet Vapor Phase Library Listing – 8,654 spectra This library is one the most comprehensive collections of vapor phase FT-IR spectra. It is an invaluable tool for scientist involved in investigations on gas phase materials. The Nicolet Vapor Phase Library contains 8654 FT-IR spectra of compounds measured in gas phase. Most spectra were acquired by the Sigma-Aldrich Co. using product samples. Additional spectra were collected by Hannover University, University of Wurzburg and Thermo Fisher Scientific applications scientists. Spectra were collected using sampling techniques including heated or room temperature gas cell or a heated light-pipe connected to the outlet of a gas chromatograph. Nicolet Vapor Phase Index Compound Name Index Compound Name 8402 ((1- 5457 (-)-8-Phenylmenthol; (-)-(1R,2S,5R)-5- Ethoxycyclopropyl)oxy)trimethylsilane Methyl-2-(2-phenyl-2-propyl)cyc 4408 (+)-1,3-Diphenylbutane 1095 (-)-Carveol, mixture of isomers; p- 4861 (+)-1-Bromo-2,4-diphenylbutane Mentha-6,8-dien-2-ol 2406 (+)-3-(Heptafluorobutyryl)camphor 3628 (-)-Diisopropyl D-tartrate 2405 (+)-3-(Trifluoroacetyl)camphor 1427 (-)-Limonene oxide, cis + trans; (-)-1,2- 281 (+)-3R-Isolimonene, trans-; (1R,4R)- Epoxy-4-isopropenyl-1-methyl (+)-p-Mentha-2,8-diene 1084 (-)-Menthol; [1R-(1a,2b,5a)]-(-)-2- 289 (+)-Camphene; 2,2-Dimethyl-3- Isopropyl-5-methylcyclohexanol methylenebicyclo[2.2.1]heptane 2750 (-)-Menthoxyacetic acid 3627 (+)-Diisopropyl L-tartrate 1096 (-)-Myrtanol, cis-; (1S,2R)-6,6- 2398 (+)-Fenchone; (+)-1,3,3- Dimethylbicyclo[3.1.1]heptane-2-metha -
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ADMET & DMPK 9(2) (2021) 151-165; doi: https://dx.doi.org/10.5599/admet.929 Open Access : ISSN : 1848-7718 http://www.pub.iapchem.org/ojs/index.php/admet/index Original scientific paper Biomimetic properties and estimated in vivo distribution of chloroquine and hydroxy-chloroquine enantiomers Klara L Valko*1 and Tong Zhang2 1-Bio-Mimetic Chromatography Ltd, Business & Technology Centre, Bessemer Drive, Stevenage, Herts SG1 2DX UK 2Chiral Technologies Europe, Parc d'Innovation 160, Bd Gonthier d'Andernach CS 80140 67404 ILLKIRCH CEDEX France *Corresponding Author: E-mail: [email protected]; Tel.: +44-7521-989558; Received: November 16, 2020; Revised: January 10, 2021; Published online: January 25, 2020 Abstract Chloroquine and hydroxy-chloroquine already established as anti-malarial and lupus drugs have recently gained renewed attention in the fight against the Covid-19 pandemic. Bio-mimetic HPLC methods have been used to measure the protein and phospholipid binding of the racemic mixtures of the drugs. The tissue binding and volume of distribution of the enantiomers have been estimated. The enantiomers can be separated using Chiralpak AGP HPLC columns. From the α-1-acid-glycoprotein (AGP) binding, the lung tissue binding can be estimated for the enantiomers. The drugs have a large volume of distribution, showed strong and stereoselective glycoprotein binding, medium-strong phospholipid-binding indicating only moderate phospholipidotic potential, hERG inhibition and promiscuous binding. The drug efficiency of the compounds was estimated to be greater than 2 % which indicates a high level of free biophase concentration relative to dose. The biomimetic properties of the compounds support the well-known tolerability of the drugs. -
Setup and Validation of Shake-Flask Procedures for The
1 Setup and validation of shake-flask procedures for the 2 determination of partition coefficients (log D) from low drug 3 amounts 4 5 Axel Andrésa, Martí Rosésa, Clara Ràfolsa, Elisabeth Boscha, Sonia Espinosab, Víctor 6 Segarrab, Josep M. Huertab 7 aDepartament de Química Analítica and Institut de Biomedicina (IBUB), Universitat de Barcelona 8 Martí i Franquès 1-11, 08028 Barcelona (Spain) 9 b Computational and Structural Drug Discovery Department, R&D Centre, Almirall S.A. 10 Laureà Miró 408-410, 08980 Sant Feliu de Llobregat, Barcelona (Spain) 11 12 13 14 15 16 17 18 Correspondence to: 19 Clara Ràfols 20 Departament de Química Analítica 21 Universitat de Barcelona 22 Martí i Franquès 1-11 23 E-08028 Barcelona (Spain) 24 Tel: +34 93 403 48 12 25 Fax: +34 93 402 12 33 26 E-mail: [email protected] 27 28 ABSTRACT 29 Several procedures based on the shake-flask method and designed to require a 30 minimum amount of drug for octanol-water partition coefficient determination have 31 been established and developed. The procedures have been validated by a 28 32 substance set with a lipophilicity range from -2.0 to 4.5 (log D7.4). 33 The experimental partition is carried out using aqueous phases buffered with 34 phosphate (pH 7.4) and n-octanol saturated with buffered water and the analysis is 35 performed by liquid chromatography. In order to have accurate results, four 36 procedures and eight different ratios between phase volumes are proposed. Each 37 procedure has been designed and optimized (for partition ratios) for a specific range of 38 drug lipophilicity (low, regular and high lipophilicity) and solubility (high and low 39 aqueous solubility). -
Property-Enriched Fragment Descriptors for Adaptive QSAR Fiorella Ruggiu
Property-enriched fragment descriptors for adaptive QSAR Fiorella Ruggiu To cite this version: Fiorella Ruggiu. Property-enriched fragment descriptors for adaptive QSAR. Cheminformatics. Uni- versité de Strasbourg, 2014. English. NNT : 2014STRAF037. tel-01130689 HAL Id: tel-01130689 https://tel.archives-ouvertes.fr/tel-01130689 Submitted on 12 Mar 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. UNIVERSITÉ DE STRASBOURG ÉCOLE DOCTORALE DES SCIENCES CHIMIQUES [ UMR 7140 ] THÈSE présentée par : [ Fiorella RUGGIU] soutenue le : 22 septembre 2014 pour obtenir le grade de : Docteur de l’université de Strasbourg Discipline/ Spécialité : Chimie/Chémoinformatique Property-enriched fragment descriptors for adaptive QSAR THÈSE dirigée par : [M. VARNEK Alexandre] Professeur, Université de Strasbourg [M. HORVATH Dragos] Directeur de Recherche, CNRS, UMR 7140 RAPPORTEURS : [M. AIRES DE SOUSA João] Professeur, Université de Lisbonne [M. TABOUREAU Olivier] Professeur, Université Paris Diderot AUTRES MEMBRES DU JURY : [M. ERTL Peter] Docteur, HDR, société Novartis -
Integrated Biological-Chemical Approach for the Identification of Polyaromatic Mutagens in Surface Waters
Integrated Biological-Chemical Approach for the Identification of Polyaromatic Mutagens in Surface Waters Von der Fakultät für Mathematik, Informatik und Naturwissenschaften der RWTH Aachen University zur Erlangung des akademischen Grades einer Doktorin der Naturwissenschaften genehmigte Dissertation vorgelegt von D.E.A Christine Gallampois aus Châtillon sous Bagneux (Frankreich) Berichter: Universitätsprofessor Dr. Henner Hollert Universitätsprofessor Dr. Andreas Schäffer Tag der mündlichen Prüfung: 11.07.2012 Diese Dissertation ist auf den Internetseiten der Hochschulbibliothek online verfügbar. A Mamée SUMMARY Surface waters are essential for human life, to supply of drinking water and as an important resource for agricultural, industrial and recreational activities. However, tonnes of pollutants enter these surface waters every year. Amongst the substances discharged into the environment, a large number are known to be mutagenic, forming part of a complex mixture of effluents found in municipal waste waters from domestic and industrial waste water treatment plants and in surface runoff from agricultural land . Moreover, these surface waters contain many unknown compounds. Consequently, water pollution can be a serious problem for public and aquatic ecosystem health. Effect-directed analysis (EDA) is a tool to identify chemicals responsible for the observed toxic effects. It is based on a combination of chemical and biological analysis. The chemical analysis enable the separation and isolation of toxicants from complex samples, while the biological analysis enables the “tracking” of the toxicants during the separation of the chemicals, which allows decreasing the complexity of the sample in focusing only on chemicals causing the biological effects. Among planar aromatic compounds such as azaarenes, polyaromatic hydrocarbons (PAHs), keto-, nitro-keto-, hydroxyl-, amino- and nitro-PAHs, as well as quinones and hydroxy- quinones there are many known environmental mutagens often present in surface waters in complex mixtures and at low concentrations. -
Prediction of Herg Inhibition of Drug Discovery Compounds Using
ADMET & DMPK X(Y) (2021) pp-pp; doi: https://doi.org/10.5599/admet.995 Open Access : ISSN : 1848-7718 http://www.pub.iapchem.org/ojs/index.php/admet/index Original scientific paper Prediction of hERG inhibition of drug discovery compounds using biomimetic HPLC measurements Chrysanthos Stergiopoulos1*, Fotios Tsopelas1 and Klara Valko2 1Laboratory of Inorganic and Analytical Chemistry, School of Chemical Engineering, National Technical University of Athens 2Bio-Mimetic Chromatography Ltd. Stevenage, Herts, United Kingdom *Corresponding Author: Chrysanthos Stergiopoulos; E-mail: [email protected]; Tel.: +302107724022 Received: April 06, 2021; Revised: May 20, 2021; Available online: June 06, 2021 Abstract article The major causes of failure of drug discovery compounds in clinics are the lack of efficacy and toxicity. To reduce late-stage failures in the drug discovery process, it is essential to estimate early the probability of adverse effects and potential toxicity. Cardiotoxicity is one of the most often observed problems related to a compound's inhibition of the hERG channel responsible for the potassium cation flux. Biomimetic HPLC methods can be used for the early screening of a compound's lipophilicity, protein binding and phospholipid partition. Based on the published hERG pIC50 data of 90 marketed drugs and their measured biomimetic properties, a model has been developed to predict the hERG inhibition using the measured binding of compounds to alpha-1-acid-glycoproteinonline (AGP) and immobilised artificial membrane (IAM). A representative test set of 16 compounds was carefully selected. The training set, involving the remaining compounds, served to establish the linear model. The mechanistic model supports the hypothesis that compounds have to traverse the cell membrane and bind to the hERG ion channel to cause the inhibition.