Determinants of Aminoglycoside-Binding Specificity for Rrna by Using Mass Spectrometry (16S RNA͞18S Rna͞fourier Transform Ion Cyclotron Resonance Ms͞aminoglycoside)
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Prediction of Premature Termination Codon Suppressing Compounds for Treatment of Duchenne Muscular Dystrophy Using Machine Learning
Prediction of Premature Termination Codon Suppressing Compounds for Treatment of Duchenne Muscular Dystrophy using Machine Learning Kate Wang et al. Supplemental Table S1. Drugs selected by Pharmacophore-based, ML-based and DL- based search in the FDA-approved drugs database Pharmacophore WEKA TF 1-Palmitoyl-2-oleoyl-sn-glycero-3- 5-O-phosphono-alpha-D- (phospho-rac-(1-glycerol)) ribofuranosyl diphosphate Acarbose Amikacin Acetylcarnitine Acetarsol Arbutamine Acetylcholine Adenosine Aldehydo-N-Acetyl-D- Benserazide Acyclovir Glucosamine Bisoprolol Adefovir dipivoxil Alendronic acid Brivudine Alfentanil Alginic acid Cefamandole Alitretinoin alpha-Arbutin Cefdinir Azithromycin Amikacin Cefixime Balsalazide Amiloride Cefonicid Bethanechol Arbutin Ceforanide Bicalutamide Ascorbic acid calcium salt Cefotetan Calcium glubionate Auranofin Ceftibuten Cangrelor Azacitidine Ceftolozane Capecitabine Benserazide Cerivastatin Carbamoylcholine Besifloxacin Chlortetracycline Carisoprodol beta-L-fructofuranose Cilastatin Chlorobutanol Bictegravir Citicoline Cidofovir Bismuth subgallate Cladribine Clodronic acid Bleomycin Clarithromycin Colistimethate Bortezomib Clindamycin Cyclandelate Bromotheophylline Clofarabine Dexpanthenol Calcium threonate Cromoglicic acid Edoxudine Capecitabine Demeclocycline Elbasvir Capreomycin Diaminopropanol tetraacetic acid Erdosteine Carbidopa Diazolidinylurea Ethchlorvynol Carbocisteine Dibekacin Ethinamate Carboplatin Dinoprostone Famotidine Cefotetan Dipyridamole Fidaxomicin Chlormerodrin Doripenem Flavin adenine dinucleotide -
Pharmaceutical Applications Notebook
Pharmaceutical Applications Notebook Antibiotics Table of Contents Index of Analytes .......................................................................................................................................................................3 Introduction to Pharmaceuticals ................................................................................................................................................4 UltiMate 3000 UHPLC+ Systems .............................................................................................................................................5 IC and RFIC Systems ................................................................................................................................................................6 MS Instruments .........................................................................................................................................................................7 Chromeleon 7 Chromatography Data System Software ..........................................................................................................8 Process Analytical Systems and Software ................................................................................................................................9 Automated Sample Preparation ..............................................................................................................................................10 Analysis of Antibiotics ...........................................................................................................................................................11 -
G Genito Urinary System and Sex Hormones
WHO/EMP/RHT/TSN/2018.2 © World Health Organization 2018 Some rights reserved. This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo). Under the terms of this licence, you may copy, redistribute and adapt the work for non-commercial purposes, provided the work is appropriately cited, as indicated below. In any use of this work, there should be no suggestion that WHO endorses any specific organization, products or services. The use of the WHO logo is not permitted. If you adapt the work, then you must license your work under the same or equivalent Creative Commons licence. If you create a translation of this work, you should add the following disclaimer along with the suggested citation: “This translation was not created by the World Health Organization (WHO). WHO is not responsible for the content or accuracy of this translation. The original English edition shall be the binding and authentic edition”. Any mediation relating to disputes arising under the licence shall be conducted in accordance with the mediation rules of the World Intellectual Property Organization. Suggested citation. Learning clinical pharmacology with the use of INNs and their stems. Geneva: World Health Organization; 2018 (WHO/EMP/RHT/TSN/2018.2). Licence: CC BY-NC-SA 3.0 IGO. Cataloguing-in-Publication (CIP) data. CIP data are available at http://apps.who.int/iris. Sales, rights and licensing. To purchase WHO publications, see http://apps.who.int/bookorders. To submit requests for commercial use and queries on rights and licensing, see http://www.who.int/about/licensing. -
P147-Bioorgchem-Kanamycin Nucleotidyltransferase-1999.Pdf
Bioorganic Chemistry 27, 395±408 (1999) Article ID bioo.1999.1144, available online at http://www.idealibrary.com on Kinetic Mechanism of Kanamycin Nucleotidyltransferase from Staphylococcus aureus1 Misty Chen-Goodspeed,* Janeen L. Vanhooke,² Hazel M. Holden,² and Frank M. Raushel*,2 *Department of Chemistry, Texas A&M University, College Station, Texas 77843; and ²Department of Biochemistry, Institute for Enzyme Research, University of Wisconsin, Madison, Wisconsin 53705 Received December 16, 1998 Kanamycin nucleotidyltransferase (KNTase) catalyzes the transfer of the adenyl group from MgATP to either the 4Ј or 4Љ-hydroxyl group of aminoglycoside antibiotics. The steady state kinetic parameters of the enzymatic reaction have been measured by initial velocity, product, and dead-end inhibition techniques. The kinetic mechanism is ordered where the antibiotic binds prior to MgATP and the modified antibiotic is the last product to be released. The effects of altering the relative solvent viscosity are consistent with the release of the products as the rate-limiting step. The pH profiles for Vmax and V/KATP show that a single ionizable group with apK of ϳ8.9 must be protonated for catalysis. The V/K profile for kanamycin as a function of pH is bell-shaped and indicates that one group must be protonated with a pK value of 8.5, while another group must be unprotonated with a pK value of 6.6. An analysis of the kinetic constants for 10 different aminoglycoside antibiotics and 5 nucleotide triphosphates indicates very little difference in the rate of catalysis or substrate binding among these substrates. ᭧ 1999 Academic Press Key Words: kanamycin nucleotidyltransferase; antibiotic modification. -
Computational Antibiotics Book
Andrew V DeLong, Jared C Harris, Brittany S Larcart, Chandler B Massey, Chelsie D Northcutt, Somuayiro N Nwokike, Oscar A Otieno, Harsh M Patel, Mehulkumar P Patel, Pratik Pravin Patel, Eugene I Rowell, Brandon M Rush, Marc-Edwin G Saint-Louis, Amy M Vardeman, Felicia N Woods, Giso Abadi, Thomas J. Manning Computational Antibiotics Valdosta State University is located in South Georgia. Computational Antibiotics Index • Computational Details and Website Access (p. 8) • Acknowledgements (p. 9) • Dedications (p. 11) • Antibiotic Historical Introduction (p. 13) Introduction to Antibiotic groups • Penicillin’s (p. 21) • Carbapenems (p. 22) • Oxazolidines (p. 23) • Rifamycin (p. 24) • Lincosamides (p. 25) • Quinolones (p. 26) • Polypeptides antibiotics (p. 27) • Glycopeptide Antibiotics (p. 28) • Sulfonamides (p. 29) • Lipoglycopeptides (p. 30) • First Generation Cephalosporins (p. 31) • Cephalosporin Third Generation (p. 32) • Fourth-Generation Cephalosporins (p. 33) • Fifth Generation Cephalosporin’s (p. 34) • Tetracycline antibiotics (p. 35) Computational Antibiotics Antibiotics Covered (in alphabetical order) Amikacin (p. 36) Cefempidone (p. 98) Ceftizoxime (p. 159) Amoxicillin (p. 38) Cefepime (p. 100) Ceftobiprole (p. 161) Ampicillin (p. 40) Cefetamet (p. 102) Ceftoxide (p. 163) Arsphenamine (p. 42) Cefetrizole (p. 104) Ceftriaxone (p. 165) Azithromycin (p.44) Cefivitril (p. 106) Cefuracetime (p. 167) Aziocillin (p. 46) Cefixime (p. 108) Cefuroxime (p. 169) Aztreonam (p.48) Cefmatilen ( p. 110) Cefuzonam (p. 171) Bacampicillin (p. 50) Cefmetazole (p. 112) Cefalexin (p. 173) Bacitracin (p. 52) Cefodizime (p. 114) Chloramphenicol (p.175) Balofloxacin (p. 54) Cefonicid (p. 116) Cilastatin (p. 177) Carbenicillin (p. 56) Cefoperazone (p. 118) Ciprofloxacin (p. 179) Cefacetrile (p. 58) Cefoselis (p. 120) Clarithromycin (p. 181) Cefaclor (p. -
Final Report of the Lyme Disease Review Panel of the Infectious Diseases Society of America (IDSA)
Final Report of the Lyme Disease Review Panel of the Infectious Diseases Society of America (IDSA) INTRODUCTION AND PURPOSE In November 2006, the Connecticut Attorney General (CAG), Richard Blumenthal, initiated an antitrust investigation to determine whether the Infectious Diseases Society of America (IDSA) violated antitrust laws in the promulgation of the IDSA’s 2006 Lyme disease guidelines, entitled “The Clinical Assessment, Treatment, and Prevention of Lyme Disease, Human Granulocytic Anaplasmosis, and Babesiosis: Clinical Practice Guidelines by the Infectious Diseases Society of America” (the 2006 Lyme Guidelines). IDSA maintained that it had developed the 2006 Lyme disease guidelines based on a proper review of the medical/scientifi c studies and evidence by a panel of experts in the prevention, diagnosis, and treatment of Lyme disease. In April 2008, the CAG and the IDSA reached an agreement to end the investigation. Under the Agreement and its attached Action Plan, the 2006 Lyme Guidelines remain in effect, and the Society agreed to convene a Review Panel whose task would be to determine whether or not the 2006 Lyme Guidelines were based on sound medical/scientifi c evidence and whether or not these guidelines required change or revision. The Review Panel was not charged with updating or rewriting the 2006 Lyme Guidelines. Any recommendation for update or revision to the 2006 Lyme Guidelines would be conducted by a separate IDSA group. This document is the Final Report of the Review Panel. REVIEW PANEL MEMBERS Carol J. Baker, MD, Review Panel Chair Baylor College of Medicine Houston, TX William A. Charini, MD Lawrence General Hospital, Lawrence, MA Paul H. -
WHO Report on Surveillance of Antibiotic Consumption: 2016-2018 Early Implementation ISBN 978-92-4-151488-0 © World Health Organization 2018 Some Rights Reserved
WHO Report on Surveillance of Antibiotic Consumption 2016-2018 Early implementation WHO Report on Surveillance of Antibiotic Consumption 2016 - 2018 Early implementation WHO report on surveillance of antibiotic consumption: 2016-2018 early implementation ISBN 978-92-4-151488-0 © World Health Organization 2018 Some rights reserved. This work is available under the Creative Commons Attribution- NonCommercial-ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons. org/licenses/by-nc-sa/3.0/igo). Under the terms of this licence, you may copy, redistribute and adapt the work for non- commercial purposes, provided the work is appropriately cited, as indicated below. In any use of this work, there should be no suggestion that WHO endorses any specific organization, products or services. The use of the WHO logo is not permitted. If you adapt the work, then you must license your work under the same or equivalent Creative Commons licence. If you create a translation of this work, you should add the following disclaimer along with the suggested citation: “This translation was not created by the World Health Organization (WHO). WHO is not responsible for the content or accuracy of this translation. The original English edition shall be the binding and authentic edition”. Any mediation relating to disputes arising under the licence shall be conducted in accordance with the mediation rules of the World Intellectual Property Organization. Suggested citation. WHO report on surveillance of antibiotic consumption: 2016-2018 early implementation. Geneva: World Health Organization; 2018. Licence: CC BY-NC-SA 3.0 IGO. Cataloguing-in-Publication (CIP) data. -
THALMUUNTURUS009732370B2 (12 ) United States Patent (10 ) Patent No
THALMUUNTURUS009732370B2 (12 ) United States Patent (10 ) Patent No. : US 9 , 732 , 370 B2 Jagesar ( 45 ) Date of Patent: Aug. 15, 2017 ( 54 ) METHOD FOR THE DETERMINATION OF ( 58 ) Field of Classification Search THE PRESENCE OF AN ANTIBIOTIC IN A None FLUID See application file for complete search history. (71 ) Applicant: DSM IP ASSETS B . V ., Heerlen (NL ) ( 56 ) References Cited ( 72 ) Inventor : Dhiredj Chandre Jagesar , Echt (NL ) U . S . PATENT DOCUMENTS 2007/ 0092929 A1* 4 / 2007 Dekker .. .. .. C12Q 1/ 18 ( 73 ) Assignee : DSM IP ASSETS B . V ., Heerlen (NL ) 435 / 32 ( * ) Notice : Subject to any disclaimer, the term of this patent is extended or adjusted under 35 FOREIGN PATENT DOCUMENTS U . S .C . 154 (b ) by 0 days . EP 0005891 A112 / 1979 EP 0285792 Al 10 / 1988 ( 21) Appl. No .: EP 0611001 AL 8 / 1994 14 /787 , 859 EP 1639122 A1 3 /2006 WO 2005005655 AL 1 / 2005 ( 22 ) PCT Filed : Apr. 30 , 2014 wo 2013057182 AL 4 /2013 ( 86 ) PCT No . : PCT/ EP2014 / 058778 OTHER PUBLICATIONS $ 371 (c ) ( 1 ) , ( 2 ) Date : Oct. 29 , 2015 International Search Report from corresponding PCT/ EP2014 / 058778 , mailed Jul . 23 , 2014 . Gilbertson et al. , “ Modified Microbiological Method for the Screen ( 87 ) PCT Pub . No . : WO2014 / 177597 ing of Antibiotics in Milk ” , 1995 , J. Dairy Sci , vol. 78 , PCT Pub . Date : Nov . 6 , 2014 XP27050235, pp . 1032 - 1038 . (65 ) Prior Publication Data * cited by examiner US 2016 / 0076071 A1 Mar . 17 , 2016 Primary Examiner — Kade Ariani ( 30 ) Foreign Application Priority Data (74 ) Attorney , Agent, or Firm - McBee Moore Woodward & Vanik IP , LLC ; Susan McBee ; Chester May 2 , 2013 (EP ) . -
Amphiphilic Aminoglycosides As Medicinal Agents
International Journal of Molecular Sciences Review Amphiphilic Aminoglycosides as Medicinal Agents Clément Dezanet 1, Julie Kempf 1, Marie-Paule Mingeot-Leclercq 2,* and Jean-Luc Décout 1,* 1 Molecular Pharmacochemistry Department, University Grenoble Alpes, CNRS, 470 Rue de la Chimie, F-38000 Grenoble, France; [email protected] (C.D.); [email protected] (J.K.) 2 Cellular and Molecular Pharmacology Unit, Louvain Drug Research Institute, Catholic University of Louvain, Avenue E. Mounier 73, UCL B1.73.05, 1200 Brussels, Belgium * Correspondence: [email protected] (M.-P.M.-L.); [email protected] (J.-L.D.) Received: 6 September 2020; Accepted: 2 October 2020; Published: 8 October 2020 Abstract: The conjugation of hydrophobic group(s) to the polycationic hydrophilic core of the antibiotic drugs aminoglycosides (AGs), targeting ribosomal RNA, has led to the development of amphiphilic aminoglycosides (AAGs). These drugs exhibit numerous biological effects, including good antibacterial effects against susceptible and multidrug-resistant bacteria due to the targeting of bacterial membranes. In the first part of this review, we summarize our work in identifying and developing broad-spectrum antibacterial AAGs that constitute a new class of antibiotic agents acting on bacterial membranes. The target-shift strongly improves antibiotic activity against bacterial strains that are resistant to the parent AG drugs and to antibiotic drugs of other classes, and renders the emergence of resistant Pseudomonas aeruginosa strains highly difficult. Structure–activity and structure–eukaryotic cytotoxicity relationships, specificity and barriers that need to be crossed in their development as antibacterial agents are delineated, with a focus on their targets in membranes, lipopolysaccharides (LPS) and cardiolipin (CL), and the corresponding mode of action against Gram-negative bacteria. -
Summary Report on Antimicrobials Dispensed in Public Hospitals
Summary Report on Antimicrobials Dispensed in Public Hospitals Year 2014 - 2016 Infection Control Branch Centre for Health Protection Department of Health October 2019 (Version as at 08 October 2019) Summary Report on Antimicrobial Dispensed CONTENTS in Public Hospitals (2014 - 2016) Contents Executive Summary i 1 Introduction 1 2 Background 1 2.1 Healthcare system of Hong Kong ......................... 2 3 Data Sources and Methodology 2 3.1 Data sources .................................... 2 3.2 Methodology ................................... 3 3.3 Antimicrobial names ............................... 4 4 Results 5 4.1 Overall annual dispensed quantities and percentage changes in all HA services . 5 4.1.1 Five most dispensed antimicrobial groups in all HA services . 5 4.1.2 Ten most dispensed antimicrobials in all HA services . 6 4.2 Overall annual dispensed quantities and percentage changes in HA non-inpatient service ....................................... 8 4.2.1 Five most dispensed antimicrobial groups in HA non-inpatient service . 10 4.2.2 Ten most dispensed antimicrobials in HA non-inpatient service . 10 4.2.3 Antimicrobial dispensed in HA non-inpatient service, stratified by service type ................................ 11 4.3 Overall annual dispensed quantities and percentage changes in HA inpatient service ....................................... 12 4.3.1 Five most dispensed antimicrobial groups in HA inpatient service . 13 4.3.2 Ten most dispensed antimicrobials in HA inpatient service . 14 4.3.3 Ten most dispensed antimicrobials in HA inpatient service, stratified by specialty ................................. 15 4.4 Overall annual dispensed quantities and percentage change of locally-important broad-spectrum antimicrobials in all HA services . 16 4.4.1 Locally-important broad-spectrum antimicrobial dispensed in HA inpatient service, stratified by specialty . -
1 Revealing SARS-Cov-2 Functional Druggability Through Multi-Target
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 11 May 2020 doi:10.20944/preprints202005.0199.v1 Revealing SARS-CoV-2 Functional Druggability Through Multi-Target Cadd Screening of Repurposable Drugs Yash Gupta1,2, Dawid Maciorowski1,3, Raman Mathur1, Catherine M Pearce1, David J. IIc1,3, Hamza Husein1,3, Ajay Bharti4, Daniel P. Becker3, Brijesh Rathi2,5, Steven B Bradfute6, Ravi Durvasula1,2, Prakasha Kempaiah1,2* 1 Loyola University Chicago Stritch School of Medicine, Chicago, IL, 60153, USA; 2 Department of Medicine, Loyola University Medical Center, Chicago, IL, 60153, USA; 3 Loyola University Chicago, Chicago, IL, USA; 4 Division of Infectious Diseases, Department of Medicine, University of California, San Diego, CA, 92093, USA, 5 Laboratory for Translational Chemistry and Drug Discovery, Hansraj College, University of Delhi, India; 6 Center for Global Health, Division of Infectious Diseases, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA. Number of Tables: 10; Number of Figures: 16 ABSTRACT: The emergence of SARS/MERS drug resistant COVID-19 with high transmission and mortality has recently been declared a deadly pandemic causing economic chaos and significant health problems. Like all coronaviruses, SARS-CoV-2 is a large virus that has many druggable components within its proteome. In this study, we focused on repurposing approved and investigational drugs by identifying potential drugs that are predicted to effectively inhibit critical enzymes within SARS-CoV-2. We shortlisted seven target proteins with enzymatic activities known to be essential at different stages of the virus life cycle. For virtual screening, the energy minimization of a crystal structure or modeled protein was carried out using Protein Preparation Wizard (Schrödinger LLC, 2020-1). -
Stembook 2018.Pdf
The use of stems in the selection of International Nonproprietary Names (INN) for pharmaceutical substances FORMER DOCUMENT NUMBER: WHO/PHARM S/NOM 15 WHO/EMP/RHT/TSN/2018.1 © World Health Organization 2018 Some rights reserved. This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo). Under the terms of this licence, you may copy, redistribute and adapt the work for non-commercial purposes, provided the work is appropriately cited, as indicated below. In any use of this work, there should be no suggestion that WHO endorses any specific organization, products or services. The use of the WHO logo is not permitted. If you adapt the work, then you must license your work under the same or equivalent Creative Commons licence. If you create a translation of this work, you should add the following disclaimer along with the suggested citation: “This translation was not created by the World Health Organization (WHO). WHO is not responsible for the content or accuracy of this translation. The original English edition shall be the binding and authentic edition”. Any mediation relating to disputes arising under the licence shall be conducted in accordance with the mediation rules of the World Intellectual Property Organization. Suggested citation. The use of stems in the selection of International Nonproprietary Names (INN) for pharmaceutical substances. Geneva: World Health Organization; 2018 (WHO/EMP/RHT/TSN/2018.1). Licence: CC BY-NC-SA 3.0 IGO. Cataloguing-in-Publication (CIP) data.