Next Generation Risk Assessment of Human Exposure to Anti-Androgens Using Newly Defined Comparator Compound Values
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Ion Channels in Drug Discovery
Department of Physiology and Pharmacology Karolinska Institutet, Stockholm, Sweden Thesis for doctoral degree (Ph.D.) 2008 Thesis for doctoral degree (Ph.D.) 2008 Ion Channels in Drug Discovery - focus on biological assays Ion Channels in Drug Discovery - focus on biological assays Kim Dekermendjian Ion Channels in Drug Discovery - focus on biological - focus on in Drug assays Channels Discovery Ion Kim Dekermendjian Kim Dekermendjian Stockholm 2008 Department of Physiology and Pharmacology Karolinska Institutet, Stockholm, Sweden Ion Channels in Drug Discovery - focus on biological assays Kim Dekermendjian Stockholm 2008 Main Supervisor: Bertil B Fredholm, Professor Department of Physiology and Pharmacology Karolinska Institutet. Co-Supervisor: Olof Larsson, PhD Associated Director Department of Molecular Pharmacology, Astrazeneca R&D Södertälje. Opponent: Bjarke Ebert, Adjunct Professor Faculty of Pharmaceutical Sciences, University of Copenhagen, Denmark. and Department of Electrophysiology, H. Lundbeck A/S, Copenhagen, Denmark. Examination board: Ole Kiehn, Professor Department of Neurovetenskap, Karolinska Institutet. Bryndis Birnir, PhD Docent Department of Clinical Sciences, Lund University. Bo Rydqvist, Professor Department of Physiology and Pharmacology Karolinska Institutet. All previously published papers were reproduced with permission from the publisher. Front page (a) Side view of the GABA-A model; the trans membrane domain (TMD) (bottom) spans through the lipid membrane (32 Å) and partly on the extracellular side (12 Å), while the ligand binding domain (LBD) (top) is completely extracellular (60 Å). (b) The LBD viewed from the extracellular side (diameter of 80 Å). (c) The TMD viewed from the extracellular side. Arrows and ribbons (which correspond to ȕ-strands and Į- helices, respectively) are coloured according to position in each individual subunit sequence, as well as in the TM4 of each subunit which is not bonded to the rest of the model (with permission from Campagna-Slater and Weaver, 2007 Copyright © 2006 Elsevier Inc.). -
California Essential Drug List
California Essential Drug List The Essential Drug List (formulary) includes a list of drugs covered by Health Net. The drug list is updated at least monthly and is subject to change. All previous versions are no longer in effect. You can view the most current drug list by going to our website at www.healthnet.com. Refer to Evidence of Coverage or Certificate of Insurance for specific cost share information. For California Individual & Family Plans: Drug Lists Select Health Net Large Group – Formulary (pdf). For Small Business Group: Drug Lists Select Health Net Small Business Group – Formulary (pdf). NOTE: To search the drug list online, open the (pdf) document. Hold down the “Control” (Ctrl) and “F” keys. When the search box appears, type the name of your drug and press the “Enter” key. If you have questions or need more information call us toll free. California Individual & Family Plans (off-Exchange) If you have questions about your pharmacy coverage call Customer Service at 1-800-839-2172 California Individual & Family Plans (on-Exchange) If you have questions about your pharmacy coverage call Customer Service at 1-888-926-4988 Hours of Operation 8:00am – 7:00pm Monday through Friday 8:00am – 5:00pm Saturday Small Business Group If you have questions about your pharmacy coverage call Customer Service at 1-800-361-3366 Hours of Operation 8:00am – 6:00pm Monday through Friday Updated September 1, 2021 Health Net of California, Inc. and Health Net Life Insurance Company are subsidiaries of Health Net, LLC and Centene Corporation. Health Net is a registered service mark of Health Net, LLC Table of Contents What If I Have Questions Regarding My Pharmacy Benefit? ................................... -
(12) United States Patent (10) Patent No.: US 9,713,596 B2 Hong Et Al
USOO9713596B2 (12) United States Patent (10) Patent No.: US 9,713,596 B2 Hong et al. (45) Date of Patent: Jul. 25, 2017 (54) BAKUCHOL COMPOSITIONS FOR FOREIGN PATENT DOCUMENTS TREATMENT OF POST INFLAMMATORY DE 1900 435 7, 1970 HYPERPGMENTATION DE 3417234 A1 * 11, 1985 JP H1171231 A * 3, 1999 ............... A61K 7.00 (75) Inventors: Mei Feng Hong, Lacey, WA (US); Qi JP 2000-327581 A 11 2000 Jia, Olympia, WA (US); Lidia Alfaro JP 2005325 120 A 11/2005 KR 2000-0007648 A 2, 2000 Brownell, Tacoma, WA (US) WO 2006/122160 A2 11/2006 WO 2008. 140673 A1 11, 2008 (73) Assignee: Unigen, Inc., Lacey, WA (US) (*) Notice: Subject to any disclaimer, the term of this OTHER PUBLICATIONS patent is extended or adjusted under 35 Ohno, O. Watabe, T., Kazuhiko, N., Kawagoshi, M., Uotsu, N., U.S.C. 154(b) by 0 days. Chiba, T., Yamada, M., Yamaguchi, K., Yamada, K., Miyamoto, K., Uemura, D. Inhibitory Effects of Bakuchiol, Bavachin, an (21) Appl. No.: 13/365,172 Isobavachalcone Isolated from Piper loungum on Melainin Produc (22) Filed: Feb. 2, 2012 tion in B 16 Mouse Melanoma Cells. Biosci. Biotechnol. Biochem. 74 (7), 1504-1506 (2010).* Prior Publication Data Hiroyuki Haraguchi, Junji Inoue, Yukiyoshi Tamura and Kenji (65) Mizutani.Antioxidative Components of Psoralea corylifolia US 2012/O2O1769 A1 Aug. 9, 2012 (Leguminosae). Phytother. Res. 16, 539-544 (2002).* Petra Clara Arck, et al. Towards a “free radical theory of graying: melanocyte apoptosis in the aging human hair follicle is an indicator Related U.S. Application Data of oxidative stress induced tissue damage. -
Exploring Non-Covalent Interactions Between Drug-Like Molecules and the Protein Acetylcholinesterase
Exploring non-covalent interactions between drug-like molecules and the protein acetylcholinesterase Lotta Berg Doctoral Thesis, 2017 Department of Chemistry Umeå University, Sweden This work is protected by the Swedish Copyright Legislation (Act 1960:729) ISBN: 978-91-7601-644-2 Elektronisk version tillgänglig på http://umu.diva-portal.org/ Printed by: VMC-KBC Umeå Umeå, Sweden, 2017 “Life is a relationship between molecules, not a property of any one molecule” Emile Zuckerkandl and Linus Pauling 1962 i Table of contents Abstract vi Sammanfattning vii Papers covered in the thesis viii List of abbreviations x 1. Introduction 1 1.1. Drug discovery 1 1.2. The importance of non-covalent interactions 1 1.3. Fundamental forces of non-covalent interactions 2 1.4. Classes of non-covalent interactions 3 1.5. Hydrogen bonds 3 1.5.1. Definition of the hydrogen bond 3 1.5.2. Classical and non-classical hydrogen bonds 4 1.5.3. CH∙∙∙Y hydrogen bonds 5 1.6. Interactions between aromatic rings 6 1.7. Thermodynamics of binding 7 1.8. The essential enzyme acetylcholinesterase 8 1.8.1. The relevance of research focused on AChE 8 1.8.2. The structure of AChE 9 1.8.3. AChE in drug discovery 10 2. Scope of the thesis 12 3. Background to techniques and methods 13 3.1. Structure determination by X-ray crystallography 13 3.1.1. The significance of crystal structures of proteins 13 3.1.2. Data collection and structure refinement 13 3.1.3. Electron density maps 14 3.1.4. -
Clinical Pharmacology of Antiмcancer Agents
A CLINI CLINICAL PHARMACOLOGY OF NTI- C ANTI-CANCER AGENTS C AL PHARMA AN Cristiana Sessa, Luca Gianni, Marina Garassino, Henk van Halteren www.esmo.org C ER A This is a user-friendly handbook, designed for young GENTS medical oncologists, where they can access the essential C information they need for providing the treatment which could OLOGY OF have the highest chance of being effective and tolerable. By finding out more about pharmacology from this handbook, young medical oncologists will be better able to assess the different options available and become more knowledgeable in the evaluation of new treatments. ESMO ESMO Handbook Series European Society for Medical Oncology CLINICAL PHARMACOLOGY OF Via Luigi Taddei 4, 6962 Viganello-Lugano, Switzerland Handbook Series ANTI-CANCER AGENTS Cristiana Sessa, Luca Gianni, Marina Garassino, Henk van Halteren ESMO Press · ISBN 978-88-906359-1-5 ISBN 978-88-906359-1-5 www.esmo.org 9 788890 635915 ESMO Handbook Series handbook_print_NEW.indd 1 30/08/12 16:32 ESMO HANDBOOK OF CLINICAL PHARMACOLOGY OF ANTI-CANCER AGENTS CM15 ESMO Handbook 2012 V14.indd1 1 2/9/12 17:17:35 ESMO HANDBOOK OF CLINICAL PHARMACOLOGY OF ANTI-CANCER AGENTS Edited by Cristiana Sessa Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Ospedale San Raffaele, IRCCS, Unit of New Drugs and Innovative Therapies, Department of Medical Oncology, Milan, Italy Luca Gianni Ospedale San Raffaele, IRCCS, Unit of New Drugs and Innovative Therapies, Department of Medical Oncology, Milan, Italy Marina Garassino Oncology Department, Istituto Nazionale dei Tumori, Milan, Italy Henk van Halteren Department of Internal Medicine, Gelderse Vallei Hospital, Ede, The Netherlands ESMO Press CM15 ESMO Handbook 2012 V14.indd3 3 2/9/12 17:17:35 First published in 2012 by ESMO Press © 2012 European Society for Medical Oncology All rights reserved. -
Biological Target and Its Mechanism He Zuan* Department of Pharmacology, School of Medicine,Shenzhen University, Shenzhen 518000, China
OPEN ACCESS Freely available online Journal of Cell Signaling Editorial Biological Target and Its Mechanism He Zuan* Department of Pharmacology, School of Medicine,Shenzhen University, Shenzhen 518000, China EDITORIAL NOTE 1. There is no direct change in the biological target, but the binding of the substance stops other endogenous substances (such Biological target is whatsoever within an alive organism to which as triggering hormones) from binding to the target. Contingent some other entity (like an endogenous drug or ligand) is absorbed on the nature of the target, this effect is mentioned as receptor and binds, subsequent in a modification in its function or antagonism, ion channel blockade or enzyme inhibition. behaviour. For examples of mutual biological targets are nucleic acids and proteins. Definition is context dependent, and can refer 2. A conformational change in the target is induced by the stimulus to the biological target of a pharmacologically active drug multiple, which results in a change in target function. This change in function the receptor target of a hormone like insulin, or some other target can mimic the effect of the endogenous substance in which case of an external stimulus. Biological targets are most commonly the effect is referred to as receptor agonism or be the opposite of proteins such as ion channels, enzymes, and receptors. The term the endogenous substance which in the case of receptors is referred "biological target" is regularly used in research of pharmaceutical to as inverse agonism. to describe the nastive protein in body whose activity is altered Conservation Ecology: These biological targets are conserved by a drug subsequent in a specific effect, which may a desirable across species, making pharmaceutical pollution of the therapeutic effect or an unwanted adverse effect. -
This Works My Wrinkles CBD Booster 004417
Laboratory Test Report Report Number: R-2020-753-724 Page 1 of 1 Prepared for: This Works Products Ltd Address: 53 St Georges Road Wimbledon SW19 4EA Customer Sample Description: My Wrinkles CBD Booster + Bakuchiol GWOR648/GWOR649 004417 Eurofins Registration Number: 7500 / 2020-753-724 No. of samples: 1 Test(s) Performed: Cannabinoid Quantification and Density measurement for CBD profiling Date Received: 21/02/2020 Date(s) Tested: 24/02/2020 – 28/02/2020 Results and Observations Please refer to the following page(s) _________________ Christine Dee (Analytical Services Manager) Date: 04/03/2020 The reported results relate exclusively to the tested sample. The testing was performed by a laboratory within the Eurofins Group. Eurofins Product Testing Services Limited Registered Office: Unit 16, Willan Trading Estate, Waverley Road i54 Business Park, Valiant Way Sale, M33 7AY Wolverhampton, WV9 5GB Tel: +44 (0)161 868 7600 Registration Number: 7401660 Fax: +44 (0)161 868 7699 Vat Number: 887 1276 83 Report Number: 2803666-0 Report Date: 04-Mar-2020 Report Status: Final Certificate of Analysis Eurofins Product Testing Services Limited UNIT 16, WILLAN TRADING ESTATE, WAVERLEY ROAD Sale M33 7AY Sample Name: My Wrinkles CBD Booster Plus Eurofins Sample: 9302398 Bakuchiol Project ID EURO_HAR-20200224-0033 Receipt Date 24-Feb-2020 PO Number CVD Receipt Condition Ambient temperature Lot Number 2020-753-724 Login Date 24-Feb-2020 Sample Serving Size Date Started 28-Feb-2020 Sampled Sample results apply as received Online Order 20 Analysis Result -
Uncovering New Drug Properties in Target-Based Drug-Drug Similarity Networks
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.12.988600; this version posted March 12, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Uncovering new drug properties in target-based drug-drug similarity networks Lucret¸ia Udrescu1, Paul Bogdan2, Aim´eeChi¸s3, Ioan Ovidiu S^ırbu3,6, Alexandru Top^ırceanu4, Renata-Maria V˘arut¸5, Mihai Udrescu4,6* 1 Department of Drug Analysis, "Victor Babe¸s",University of Medicine and Pharmacy Timi¸soara,Timi¸soara,Romania 2 Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA 3 Department of Biochemistry, "Victor Babe¸s"University of Medicine and Pharmacy Timi¸soara,Timi¸soara,Romania 4 Department of Computer and Information Technology, Politehnica University of Timi¸soara,Timi¸soara,Romania 5 Faculty of Pharmacy, University of Medicine and Pharmacy of Craiova, Craiova, Romania 6 Timi¸soaraInstitute of Complex Systems, Timi¸soara,Romania * [email protected] Abstract Despite recent advances in bioinformatics, systems biology, and machine learning, the accurate prediction of drug properties remains an open problem. Indeed, because the biological environment is a complex system, the traditional approach { based on knowledge about the chemical structures { cannot fully explain the nature of interactions between drugs and biological targets. Consequently, in this paper, we propose an unsupervised machine learning approach that uses the information we know about drug-target interactions to infer drug properties. -
MDMA, MBDB' and I! I the Classichallucinogens
Differences Between the Mechanism I t of Action of MDMA, MBDB' and i! I the ClassicHallucinogens. i Identification of a New Therapeutic Class: Entactogens Jawi'ri", ! 7 U$ DAVID E. NICHOLS, PH.D.* The widespread use of psychedelic drugs, such as quantitative structure-activity relationships (QSARs). lysergic ac;.d diethylamide (LSD), during the 1960's and Simply stated, attempts are made to find quantitative 1970's IcC to severe reactions by governmental agencies correlations (or equations) that relate biological activity to and proscriptions against their use. However, with the fundamental properties of the molecule. This approach is high deg _e of interest in mind-altering drugs in the being widely developed in the pharmaceutical industry in United States, as evidenced by their widespread popular- order to understand more fully how particular types of ity, it wasonlyamatteroftimebeforenewdrugsappeared drugs work, and to be able to predict which additional that were developed outside of the pharmaceutical corn- molecules should be synthesized. It should also be added panics, that no equations have been developed that adequately j Nearly 70 years after its first synthesis, 3,4- correlate hallucinogenic or psychedelic activity with any methy'enedioxymethamphetamine (MDMA) was redis- particular molecular property. covered. Although it had its' more recent origin in the class In this context, it is important to define clearly the of dr. gs that is generally defined as psychedelic or hallu- type of biological activity that is being measured. It is cino enic, it clearly appears different from LSD. In hu- typical that if a molecule has several different sites of mar , MDMA induces a state of reduced anxiety and action in the brain, that each oneof these actions may be lc .red defensiveness that makes it attractive to thera- related to entirely different structural features or proper- pi . -
Full Text (PDF)
Review TheProgressandPromiseofMolecularImagingProbesin Oncologic Drug Development Gary J. Kelloff,1Kenneth A. Krohn,3 Steven M. Larson,4 Ralph Weissleder,5 David A. Mankoff,3 John M. Hoffman,1Jeanne M. Link, 3 Kathryn Z. Guyton,6 William C. Eckelman,2 Howard I. Scher,4 Joyce O’Shaughnessy,7 Bruce D. Cheson,8 Caroline C. Sigman,6 James L. Tatum,1 George Q. Mills,9 Daniel C. Sullivan,1and Janet Woodcock10 Abstract As addressed by the recent Food and Drug Administration Critical Path Initiative, tools are urgently needed to increase the speed, efficiency, and cost-effectiveness of drug development for cancer and other diseases. Molecular imaging probes developed based on recent scientific advances have great potential as oncologic drug development tools. Basic science studies using molecular imaging probes can help to identify and characterize disease-specific targets for oncologic drug therapy. Imaging end points, based on these disease-specific biomarkers, hold great promise to better define, stratify, and enrich study groups and to provide direct biological measures of response. Imaging-based biomarkers also have promise for speeding drug evaluation by supplementing or replacing preclinical and clinical pharmacokinetic and pharmacodynamic evaluations, including target interaction and modulation. Such analyses may be particularly valuable in early comparative studies among candidates designed to interact with the same molecular target. Finally, as response biomarkers, imaging end points that characterize tumor vitality, growth, or apoptosis can also serve as early surrogates of therapy success. This article outlines the scientific basis of oncology imaging probes and presents examples of probes that could facilitate progress. The current regulatory opportunities for new and existing probe development and testing are also reviewed, with a focus on recent Food and Drug Administra- tion guidance to facilitate early clinical development of promising probes. -
2021 Drug Formulary | Kaiser Permanente Washington
Effective October 2021 2021 Drug Formulary For members covered through large employer groups with a 3-tier in-network pharmacy benefit or members with an out-of-network pharmacy benefit Tip: To bring up the search box and search by drug name: PC: Control + F | Mac: Command + F Access PPO Alliance Alliant Plus Core Elect PPO Omni PPO Options PPO All plans offered and underwritten by Kaiser Foundation Health Plan of Washington or Kaiser Foundation Health Plan of Washington Options, Inc. XB0001338-50-17 Drug Formulary INTRODUCTION What is a formulary? A formulary is a list of generic, brand, and specialty drugs. It is used by practitioners to identify drugs that offer the best overall value, considering effectiveness, safety, and cost. How is the drug formulary developed? The formulary is developed by the Kaiser Permanente Pharmacy and Therapeutics (P&T) Committee. The P&T Committee is composed of physicians from various medical specialties, pharmacists, and a consumer member. The P&T Committee reviews and selects the most appropriate drugs in each class for the formulary based on safety, effectiveness, and cost. The P&T Committee meets quarterly to review new and existing drugs to ensure that the formulary remains responsive to the needs of members and providers. How do I search the formulary? Drugs on the formulary are listed by therapeutic class. An alphabetical index is included at the end of this document to assist in locating specific drugs. Drugs are listed by generic name if a generic is available. If there is no generic available, drugs are listed by the brand name. -
Using in Vitro Toxcast Assays to Evaluate Mechanistic Plausibility
Using In vitro ToxCast Assays to Evaluate Mechanistic Plausibility and Build Confidence in the Selection of Analogues for Quantitative Read-Across: A Case Study on p,p’-Dichlorodiphenyldichloroethane Lucina E. Lizarraga, Jeffry L. Dean, J. Phillip Kaiser, Scott C. Wesselkamper, Jason C. Lambert, Elizabeth O. Owens, Belinda Hawkins, Q. Jay Zhao. National Center for Environmental Assessment (NCEA), U.S. Environmental Protection Agency, Cincinnati, Ohio 45268, USA Lucina E. Lizarraga l [email protected] l 513-487 2648 Overview Bioactivity Similarity Comparisons Evaluating Mechanistic Plausibility for Liver and Reproductive Toxicity • Deriving human health reference values for environmental chemicals has traditionally relied on toxicity data from humans and/or experimental animals p,p’-DDD and Analogues Exhibit Similarities in Cell-specific Responses and Target Gene p,p’-DDD and Analogues Exhibit Similar Upregulation of Steroid/Xenobiotic-sensing Pathways in In Vitro ToxCast Assays Conducted in Human Liver Cells Nuclear Receptors in In Vitro ToxCast Assays Conducted in Hepatoma HepG2 Cells • In the absence of in vivo toxicity data, new approach methodologies such as read-across can be used to fill data gaps for a target chemical using known information from a source analogue Figure 2. Bioactivity data for p,p’-DDD and Analogues in ToxCast Assays Conducted in • A read-across approach illustrated below (Figure 1) was applied to assist in screening-level Human Hepatoma HepG2 Cells and Primary assessment of noncancer oral toxicity for the target, p,p’-DDD, a data-poor chemical known to occur Human Hepatocytes. Scatterplots show AC50 and at contaminated sites in the U.S. scaled activity values for p,p’-DDD, p,p’-DDT, p,p’- DDE and methoxychlor from in vitro assays visualized according to the type of biological response or biological target.