Tilorone: a Broad-Spectrum Antiviral Invented in the USA and Commercialized in Russia and Beyond
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ECO-Ssls for Pahs
Ecological Soil Screening Levels for Polycyclic Aromatic Hydrocarbons (PAHs) Interim Final OSWER Directive 9285.7-78 U.S. Environmental Protection Agency Office of Solid Waste and Emergency Response 1200 Pennsylvania Avenue, N.W. Washington, DC 20460 June 2007 This page intentionally left blank TABLE OF CONTENTS 1.0 INTRODUCTION .......................................................1 2.0 SUMMARY OF ECO-SSLs FOR PAHs......................................1 3.0 ECO-SSL FOR TERRESTRIAL PLANTS....................................4 5.0 ECO-SSL FOR AVIAN WILDLIFE.........................................8 6.0 ECO-SSL FOR MAMMALIAN WILDLIFE..................................8 6.1 Mammalian TRV ...................................................8 6.2 Estimation of Dose and Calculation of the Eco-SSL ........................9 7.0 REFERENCES .........................................................16 7.1 General PAH References ............................................16 7.2 References Used for Derivation of Plant and Soil Invertebrate Eco-SSLs ......17 7.3 References Rejected for Use in Derivation of Plant and Soil Invertebrate Eco-SSLs ...............................................................18 7.4 References Used in Derivation of Wildlife TRVs .........................25 7.5 References Rejected for Use in Derivation of Wildlife TRV ................28 i LIST OF TABLES Table 2.1 PAH Eco-SSLs (mg/kg dry weight in soil) ..............................4 Table 3.1 Plant Toxicity Data - PAHs ..........................................5 Table 4.1 -
Freundlich CV
Joel S. Freundlich Department of Pharmacology, Physiology & Neuroscience Department of Medicine Center for Emerging and Reemerging Pathogens Rutgers University – New Jersey Medical School Medical Sciences Building, I503 185 South Orange Avenue Newark, NJ 07103 [email protected] (973) 972-7165 (office) (609)-865-7344 (cell) ____________________________________________________________________ RESEARCH INTERESTS Dr. Freundlich leads a research group of eleven scientists pursuing the development and application of computational, chemical, and biological platforms to study infectious diseases. • How do antibacterial small molecules leverage the modulation of more than one target to achieve significant cidality? • How are potent antibacterial agents metabolized by the mammalian host or the bacterium in detoxification and/or activation events with a specific focus on achieving a quantitative mass balance? • How may the properties (physiochemical, ADME, biological) of chemical tools be predicted and then evolved via machine learning methodologies? PROFESSIONAL EXPERIENCE RUTGERS UNIVERSITY-NEW JERSEY MEDICAL SCHOOL, Newark, NJ July 2017 to present Associate professor with Tenure (Department of Pharmacology & Physiology) Associate professor with Tenure (Department of Medicine) Member (Center for Emerging and Reemerging Pathogens) Member (Graduate Program in Medicinal Chemistry) Courses taught: The Chemical Biology of Pathogens GSBS 5160Q – Spring 2015 – 2017 Medical School Foundations II (7 lectures) – Winter 2016 – 2017 Select Agent Biology MSBS N517Q – Spring 2012 - 2013 Pharmacology PHRM 7206 – Spring 2012 - 2018 Advanced Concepts in I3 GSBS 5022Q – Spring 2012, 2013, 2015, 2016 Topics in Pharmacology PHPY-N5030 – Spring 2016 – 2017 Introduction to Genomics, Proteomics, and Bioinformatics MBGC 5002Q – Spring 2015, 2017 – 8 University Activities: Faculty Committee on Appointments and Promotions (2017–) Admissions Committee for M.D./Ph.D. -
Dependent Modeling Approach Derived from Semi-Empirical Quantum Mechanical Calculations
3D-QSAR/QSPR Based Surface- Dependent Modeling Approach Derived From Semi-Empirical Quantum Mechanical Calculations 3D-QSAR/QSPR-basierter, oberflächenabhängiger Modellierungsansatz, abgeleitet von semi-empirischen quantenmechanischen Rechnungen Der Naturwissenschaftlichen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg Zur Erlangung des Doktorgrades Dr. rer. nat. vorgelegt von Marcel Youmbi Foka aus Kamerun Als Dissertation genehmigt von der Naturwissenschaftlichen Fakultät/ vom Fachbereich Chemie und Pharmazie der Friedrich-Alexander-Universität Erlangen-Nürnberg Tag der mündlichen Prüfung: 05.12.2018 Vorsitzender des Promotionsorgans: Prof. Dr. Georg Kreimer Gutachter/in: Prof. Dr. Tim Clark Prof. Dr. Birgit Strodel Dedication In memory of my late Mother Lucienne Metiegam, who the Lord has taken unto himself on May 3, 2009. My mother, light of my life, God rest her soul, had a special respect for my studies. She had always encouraged me to move forward. I sincerely regret the fact that today she cannot witness the culmination of this work. Maman, que la Terre de nos Ancêtres te soit légère! This is a special reward for Mr. Joseph Tchokoanssi Ngouanbe, who always supported me financially and morally. That he find here the expression of my deep gratitude. i ii Acknowledgements I would like to pay tribute to all those who have made any contribution, whether scientific or not, to help carry out this work. All my thanks go especially to Prof. Dr. Tim Clark, who gave me the opportunity and means to work in his research team. I am grateful to have had him not only supervise my work but also for his patience and for giving me the opportunity to explore this fascinating topic. -
Multifaceted Roles of Ultra-Rare and Rare Disease Patients/Parents In
Drug Discovery Today Volume 18, Numbers 21/22 November 2013 PERSPECTIVE feature Multifaceted roles of ultra-rare and rare disease patients/parents in drug discovery 1,2 3,4 5 2,4,6,7,8,9,10 Jill Wood , Lori Sames , Allison Moore and Sean Ekins , [email protected] 1 Jonah’s Just Begun, P. O. Box 150057, Brooklyn, NY 11215, USA 2 Phoenix Nest, P. O. Box 150057, Brooklyn, NY 11215, USA 3 Hannah’s Hope Fund, P. O. Box 130, Rexford, NY 12148, USA 4 BioGAN Therapeutics, P. O. Box 130, Rexford, NY 12148, USA 5 Hereditary Neuropathy Foundation, 432 Park Avenue South – 4th Floor, New York, NY 10016, USA 6 Collaborations in Chemistry, 5616 Hilltop Needmore Road, Fuquay Varina, NC 27526, USA 7 Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, CA 94010, USA 8 Department of Pharmaceutical Sciences, University of Maryland, 20 Penn Street, Baltimore, MD 21201, USA 9 PERSPECTIVE Department of Pharmacology, Rutgers University-Robert Wood Johnson Medical School, 675 Hoes Lane, Piscataway, NJ 08854, USA 10 Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, NC 27599-7355, USA Features Individual parents and patients are increasingly doing more to fund, discover and develop treatments for rare and ultra-rare diseases that afflict their children, themselves or their friends. They are performing roles in business development that would be classed as entrepreneurial; and their organizational roles in driving the science in some cases are equivalent to those of principal investigators. These roles are in addition to their usual positioning as advocates. -
Front Matter
k Computational Toxicology k k k k Wiley Series on Technologies for the Pharmaceutical Industry Sean Ekins, Series Editor Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals Edited by Sean Ekins Pharmaceutical Applications of Raman Spectroscopy Edited by Slobodan Šašic´ Pathway Analysis for Drug Discovery: Computational Infrastructure and Applications Edited by Anton Yuryev Drug Efficacy, Safety, and Biologics Discovery: Enmerging Technologies and Tools Edited by Sean Ekins and Jinghai J. Xu The Engines of Hippocrates: From the Dawn of Medicine to Medical and Pharmaceutical Informatics Barry Robson and O.K. Baek Pharmaceutical Data Mining: Applications for Drug Discovery Edited by Konstantin V. Balakin The Agile Approach to Adaptive research: Optimizing Efficiency in Clinical Development Michael J. Rosenberg Pharmaceutical and Biomedical Project Management in a Changing Global Environment, Edited by Scott D. Babler k Systems Biology in Drug Discovery and Development k Edited by Daniel L. Young and Seth Michelson Collaborative Computational Technologies for Biomedical Research Edited by Sean Ekins, Maggie A.Z. Hupcey and Antony J. William Predictive Approaches in Drug Discovery and Development: Biomarkers and In Vitro/ In Vivo correlations Edited by J. Andrew Williams, Richard Lalonde, Jeffrey Koup and David D. Christ Collaborative Innovation in Drug Discovery, Strategies for Public and Private Partnerships Edited by Rathnam Chaguturu Computational Toxicology: Risk Assessment for Chemicals Edited by Sean Ekins k k Computational Toxicology Risk Assessment for Chemicals Edited by Sean Ekins k Collaborations Pharmaceuticals, Inc. Raleigh, USA k k k This edition first published 2018 © 2018 John Wiley & Sons, Inc. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. -
Collaborative Drug Discovery's 10 Anniversary Community Meeting
Collaborative Drug Discovery’s 10th Anniversary Community Meeting April 4th, 2014 8am-6pm UCSF Mission Bay Conference Center 1675 Owens St. San Francisco, CA 94158 Please use this Twitter hashtag for the event: #CDDx14 Agenda 7:45 Registration - refreshments in Foyer and Exhibition room 8:15 Opening Remarks - with UCSF Host, Stephanie Robertson and CDD CEO, Barry Bunin Collaborative Workflow: Basic and Advanced Use Cases of CDD Vault 8:20 Charlie Weatherall (CDD) & Anna Spektor (CDD) 9:10 Morning Sessions - moderated by Sylvia Ernst (CDD) The Rockefeller University Compound Screening Library 9:15 J. Fraser Glickman (Rockefeller University) Recent Progress in De-Orphanization of Nuclear Receptors 9:40 Ruo Steensma (Orphagen Pharmaceuticals) 10:05 Morning Break - located in the Foyer and Exhibition room Large small molecules in a Small large molecule world 10:35 Leanna Staben (Genentech) Linking the Molecular Structure of Medicines to their Biological Effects 11:00 Bob Volkmann (Systamedic & Mnemosyne Pharmaceuticals) Panel: Externalized Research - What Makes a Good Partnership? Wisdom from Experts 11:25 Who've "Been There - Done That," moderated by Sylvia Ernst (CDD) 11:50 Lunch - boxed lunches in the Foyer and Exhibition room Optional: “What if CDD had...” provide feedback to our product team (12:35) Kellan Gregory (CDD) 10 Years Evolving Our Collaborative Drug Discovery Vaults 1:05 Barry Bunin (CDD) CDD Vault: Noteworthy recent enhancements and a preview of things to come 1:30 David Blondeau (CDD) & Kellan Gregory (CDD) 2:20 Afternoon sessions - moderated Christopher Lipinski The Tuberculosis Drug Accelerator: A New Paradigm For Drug Discovery 2:25 Jerry Shipps (Tuberculosis Drug Accelerator) The role of NIAID in the development of therapeutics for Infectious Diseases 2:50 Martin John Rogers (NIAID) 3:15 Afternoon Break - located in the Foyer and Exhibition Room Targeting the Immunoproteasome 3:40 Dustin L. -
A Weight of Evidence Approach for Improving the Quality in Public
Keynote Review Towards a Gold Standard: Regarding Quality in Public Domain Chemistry Databases and Approaches to Improving the Situation Antony J. Williams1, Sean Ekins2 and Valery Tkachenko1 1 Royal Society of Chemistry, US Office, 904 Tamaras Circle, Wake Forest, NC-27587, U.S.A. 2 Collaborations in Chemistry, 5616 Hilltop Needmore Road, Fuquay-Varina, NC 27526, U.S.A. Corresponding Author: Antony Williams, 904 Tamaras Circle, Wake Forest, NC27587 Email: [email protected] Tel 919-201-1516. Short Biographies Antony J. Williams graduated with a Ph.D. in chemistry as an NMR spectroscopist. Dr Williams is currently VP, Strategic development for ChemSpider at the Royal Society of Chemistry. Dr. Williams has written chapters for many books and authored or >120 peer reviewed papers and book chapters on NMR, predictive ADME methods, internet-based tools, crowdsourcing and database curation. He is an active blogger and participant in the internet chemistry network. Sean Ekins graduated from the University of Aberdeen; receiving his M.Sc., Ph.D. and D.Sc. He is Principal Consultant for Collaborations in Chemistry and Collaborations Director at Collaborative Drug Discovery Inc. He has written over 170 papers and book chapters on topics including drug-drug interaction screening, computational ADME/Tox, collaborative computational technologies and neglected disease research. He has edited or co-edited 4 books. Valery Tkachenko has graduated from the Lomonosov Moscow State University, receiving his M.Sc. in Chemistry and B.Sc. in Computer Sciences. He is currently Chief Technology Officer of ChemSpider at the Royal Society of Chemistry. Over the course of the last 15 years he has participated in development of a number of successful enterprise projects for large pharma and public domain. -
Synergistic and Antagonistic Drug Interactions in the Treatment of Systemic Fungal Infections
bioRxiv preprint doi: https://doi.org/10.1101/843540; this version posted November 15, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Synergistic and Antagonistic Drug Interactions in the Treatment of Systemic Fungal Infections Morgan A. Wambaugh, Steven T. Denham, Brianna Brammer, Miekan Stonhill, and Jessica C. S. Brown Division of Microbiology and Immunology, Pathology Department, University of Utah School of Medicine, Salt Lake City, UT 84132, USA [email protected]; [email protected] Keywords Cryptococcus neoformans, overlap2 method (O2M), synergy, antagonism, drug interactions, fluconazole, dicyclomine hydrochloride, berbamine hydrochloride, nafcillin sodium, Candida species Summary Invasive fungal infections cause 1.6 million deaths annually, primarily in immunocompromised individuals. Mortality rates are as high as 90% due to limited number of efficacious drugs and poor drug availability. The azole class antifungal, fluconazole, is widely available and has multi-species activity but only inhibits fungal cell growth instead of killing fungal cells, necessitating long treatments. To improve fluconazole treatments, we used our novel high-throughput method, the overlap2 method (O2M), to identify drugs that interact with fluconazole, either increasing or decreasing efficacy. Although serendipitous identification of these interactions is rare, O2M allows us to screen molecules five times faster than testing combinations individually and greatly enriches for interactors. We identified 40 molecules that act synergistically (amplify activity) and 19 molecules that act antagonistically (decrease efficacy) when combined with fluconazole. We found that critical frontline beta-lactam antibiotics antagonize fluconazole activity. A promising fluconazole-synergizing anticholinergic drug, dicyclomine, increases fungal cell permeability and inhibits nutrient intake when combined with fluconazole. -
CDD 2008 Community Post-Meeting
Collaborative Drug Discovery Collaborative Drug Discovery Community Users Meeting Tuesday, October 7th, 2008 The J. David Gladstone Institutes Robert W. Mahley Auditorium UCSF Mission Bay Campus, San Francisco, CA 1 Acknowledgements Douglas Crawford, Ph.D., QB3 Millo Pasquini, QB3 Bruce Conklin, M.D., The J. David Gladstone Institutes Catharine Evans, The J. David Gladstone Institutes Where available, speaker presentations and audio recordings are available via links in this document and the meeting web page at Collaborative Drug Discovery Community Users Meeting 2008 . 2 2nd Annual QB3-CDD Community Meeting Schedule 8AM - Register Opens: Socialize over bagels and coffee 8:30-9:30AM - CDD System Training lead by Kellan Gregory Audio 9:30-10:00 - Symposium Registration: Meet participants over coffee 10:00AM - Symposium Welcome: Barry Bunin (CDD) Audio | Slides 10:05-10:30 - Repurposing approved clinical drugs for protozoan diseases David Sullivan, MD, Johns Hopkins Bloomberg School of Public Health 10:30-10:55 - Data Management in an Academic Drug Discovery Program Fred Buckner MD, University of Washington, Department of Medicine 10:55-11:20 - A ‘Broad’ View of Translational Research at the Stanley Center Janice Kranz, PhD, Stanley Center for Psychiatric Research, Broad Institute of MIT 11:20-11:40 - Short Break with Poster Viewing in Lobby and Rooms A & B 11:40-12:05 - Novel drugs for schistosomiasis: establishment of a medium-throughput whole-organism screen at UCSF Conor Caffrey, PhD, Sandler Center, University of California San Francisco -
Dmd # 35113 1 a Predictive Ligand-Based Bayesian
Downloaded from dmd.aspetjournals.org at ASPET Journals on September 23, 2021 1 and Jinghai J. Xu Xu J. Jinghai and INDUCED LIVER INJURY Sean Ekins, Antony J. Williams DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. Published on September 15, 2010 as DOI: 10.1124/dmd.110.035113 DMD Fast Forward. -
How Artificial Intelligence Can Change the Pharmaceutical Landscape
IBSA FOUNDATION PAPERS 16 How Artifi cial Intelligence can change the pharmaceutical landscape XVI Forum October 9th 2019, Lugano Program & Abstract Chairman Andrea Danani Istituto Dalle Molle di studi sull’Intelligenza Artificiale (IDSIA), Lugano, Switzerland; Università della Svizzera italiana (USI), Lugano, Switzerland; Scuola universitaria professionale della Svizzera italiana (SUPSI), Lugano, Switzerland Speakers Alessandro Curioni IBM Research lab, Zurich, Switzerland; Swiss Academy of Engineering Sciences, Zurich, Switzerland Gianni De Fabritiis ICREA, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Acellera, Barcelona, Spain Sean Ekins Collaborations Pharmaceuticals, Inc., Raleigh, United States of America; UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, United States of America Ed J. Griffen MedChemica Ltd., Biohub, Alderley Park, Macclesfield, Cheshire, United Kingdom Jürgen Schmidhuber NNAISENSE, Lugano, Switzerland; Swiss AI Lab Istituto Dalle Molle di studi sull’Intelligenza Artificiale (IDSIA), Manno, Switzerland; Università della Svizzera italiana (USI), Lugano, Switzerland; Scuola universitaria professionale della Svizzera italiana (SUPSI), Lugano, Switzerland Alex Zhavoronkov Insilico Medicine, Hong Kong; Buck Institute for Research on Aging, Novato, United States of America; Biogerontology Research Foundation, London, United Kingdom Scientific Committee Andrea Danani Istituto Dalle Molle di studi sull’Intelligenza Artificiale (IDSIA), Lugano, Switzerland; Università -
Systems-ADME/Tox: Resources and Network Approaches
Journal of Pharmacological and Toxicological Methods 53 (2006) 38 – 66 www.elsevier.com/locate/jpharmtox Appraisal of state-of-the art Systems-ADME/Tox: Resources and network approaches Sean Ekins * GeneGo, 500 Renaissance Drive, Suite 106, St. Joseph, MI 49085, USA School of Pharmacy Department of Pharmaceutical Sciences, University of Maryland, USA Received 23 May 2005; accepted 23 May 2005 Abstract The increasing cost of drug development is partially due to our failure to identify undesirable compounds at an early enough stage of development. The application of higher throughput screening methods have resulted in the generation of very large datasets from cells in vitro or from in vivo experiments following the treatment with drugs or known toxins. In recent years the development of systems biology, databases and pathway software has enabled the analysis of the high-throughput data in the context of the whole cell. One of the latest technology paradigms to be applied alongside the existing in vitro and computational models for absorption, distribution, metabolism, excretion and toxicology (ADME/Tox) involves the integration of complex multidimensional datasets, termed toxicogenomics. The goal is to provide a more complete understanding of the effects a molecule might have on the entire biological system. However, due to the sheer complexity of this data it may be necessary to apply one or more different types of computational approaches that have as yet not been fully utilized in this field. The present review describes the data generated currently and introduces computational approaches as a component of ADME/Tox. These methods include network algorithms and manually curated databases of interactions that have been separately classified under systems biology methods.