Homology Modeling and Molecular Docking of Antagonists to Class B G
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The Activation of the Glucagon-Like Peptide-1 (GLP-1) Receptor by Peptide and Non-Peptide Ligands
The Activation of the Glucagon-Like Peptide-1 (GLP-1) Receptor by Peptide and Non-Peptide Ligands Clare Louise Wishart Submitted in accordance with the requirements for the degree of Doctor of Philosophy of Science University of Leeds School of Biomedical Sciences Faculty of Biological Sciences September 2013 I Intellectual Property and Publication Statements The candidate confirms that the work submitted is her own and that appropriate credit has been given where reference has been made to the work of others. This copy has been supplied on the understanding that it is copyright material and that no quotation from the thesis may be published without proper acknowledgement. The right of Clare Louise Wishart to be identified as Author of this work has been asserted by her in accordance with the Copyright, Designs and Patents Act 1988. © 2013 The University of Leeds and Clare Louise Wishart. II Acknowledgments Firstly I would like to offer my sincerest thanks and gratitude to my supervisor, Dr. Dan Donnelly, who has been nothing but encouraging and engaging from day one. I have thoroughly enjoyed every moment of working alongside him and learning from his guidance and wisdom. My thanks go to my academic assessor Professor Paul Milner whom I have known for several years, and during my time at the University of Leeds he has offered me invaluable advice and inspiration. Additionally I would like to thank my academic project advisor Dr. Michael Harrison for his friendship, help and advice. I would like to thank Dr. Rosalind Mann and Dr. Elsayed Nasr for welcoming me into the lab as a new PhD student and sharing their experimental techniques with me, these techniques have helped me no end in my time as a research student. -
Computer-Aided Drug Design: a Practical Guide
Computer-Aided Drug Design: A Practical Guide Forrest Smith, Ph.D. Department of Drug Discovery and Development Harrison School of Pharmacy Auburn, University History of Drug Design • Natural Products-Ebers Papyrus, 1500 B.C. documents over 700 plant based products used to treat a variety of illnesses • The rise of Organic Chemistry, middle or the 20th Century, semi-synthetic and synthetic drugs • Computers emerge in the late 1980s, CADD with minimal impact • Automation in the 1990s, High Through-put Screening and Robotics, Compound Libraries • CADD has continued to advance since its introduction with improving capabilities Computational Chemistry • Ab initio calculations • Semi-empirical calculations • Molecular Mechanics Molecular Mechanics Global Minimum Force Fields • MM2, MM3, MM4 • MMFF • AMBER • CHARM • OPLS Finding the Global Minimum • Systematic Search • Monte Carlo Methods • Simulated Annealing • Quenched Dynamics Minor Groove Binders Computer-Aided Drug Design • Structure Based Design – Docking – Molecular Dynamics – Free Energy Perturbation • Ligand Based Design-QSAR – COMFA – Pharmacophore Modeling – Shape Based Methods Docking-The Receptor • X-Ray Crystal Structures – RCSB Protein Data Bank (https://www.rcsb.org/) – Private Data • Homology Modeling • Nuclear Magnetic Resonance Docking- The Ligand • Proprietary Ligands • Databases qReal Databases • FDA approved drugs- (http://chemoinfo.ipmc.cnrs.fr/MOLDB/index.html) • Purchasable compounds Zinc 15, currently 100 million compounds (http://zinc15.docking.org/) q Virtual Databases- -
Small Molecule and Protein Docking Introduction
Small Molecule and Protein Docking Introduction • A significant portion of biology is built on the paradigm sequence structure function • As we sequence more genomes and get more structural information, the next challenge will be to predict interactions and binding for two or more biomolecules (nucleic acids, proteins, peptides, drugs or other small molecules) Introduction • The questions we are interested in are: – Do two biomolecules bind each other? – If so, how do they bind? – What is the binding free energy or affinity? • The goals we have are: – Searching for lead compounds – Estimating effect of modifications – General understanding of binding – … Rationale • The ability to predict the binding site and binding affinity of a drug or compound is immensely valuable in the area or pharmaceutical design • Most (if not all) drug companies use computational methods as one of the first methods of screening or development • Computer-aided drug design is a more daunting task, but there are several examples of drugs developed with a significant contribution from computational methods Examples • Tacrine – inhibits acetylcholinesterase and boost acetylcholine levels (for treating Alzheimer’s disease) • Relenza – targets influenza • Invirase, Norvir, Crixivan – Various HIV protease inhibitors • Celebrex – inhibits Cox-2 enzyme which causes inflammation (not our fault) Docking • Docking refers to a computational scheme that tries to find the best binding orientation between two biomolecules where the starting point is the atomic coordinates of the two molecules • Additional data may be provided (biochemical, mutational, conservation, etc.) and this can significantly improve the performance, however this extra information is not required Bound vs. Unbound Docking • The simplest problem is the “bound” docking problem. -
Structure Based Pharmacophore Modeling, Virtual Screening
www.nature.com/scientificreports OPEN Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identifcation of natural anti‑cancer agents targeting XIAP protein Firoz A. Dain Md Opo1,2, Mohammed M. Rahman3*, Foysal Ahammad4, Istiak Ahmed5, Mohiuddin Ahmed Bhuiyan2 & Abdullah M. Asiri3 X‑linked inhibitor of apoptosis protein (XIAP) is a member of inhibitor of apoptosis protein (IAP) family responsible for neutralizing the caspases‑3, caspases‑7, and caspases‑9. Overexpression of the protein decreased the apoptosis process in the cell and resulting development of cancer. Diferent types of XIAP antagonists are generally used to repair the defective apoptosis process that can eliminate carcinoma from living bodies. The chemically synthesis compounds discovered till now as XIAP inhibitors exhibiting side efects, which is making difculties during the treatment of chemotherapy. So, the study has design to identifying new natural compounds that are able to induce apoptosis by freeing up caspases and will be low toxic. To identify natural compound, a structure‑ based pharmacophore model to the protein active site cavity was generated following by virtual screening, molecular docking and molecular dynamics (MD) simulation. Initially, seven hit compounds were retrieved and based on molecular docking approach four compounds has chosen for further evaluation. To confrm stability of the selected drug candidate to the target protein the MD simulation approach were employed, which confrmed stability of the three compounds. Based on the fnding, three newly obtained compounds namely Caucasicoside A (ZINC77257307), Polygalaxanthone III (ZINC247950187), and MCULE‑9896837409 (ZINC107434573) may serve as lead compounds to fght against the treatment of XIAP related cancer, although further evaluation through wet lab is necessary to measure the efcacy of the compounds. -
Structure-Function of the Glucagon Receptor Family of G Protein–Coupled Receptors: the Glucagon, GIP, GLP-1, and GLP-2 Receptors
Receptors and Channels, 8:179–188, 2002 Copyright c 2002 Taylor & Francis 1060-6823/02 $12.00 + .00 DOI: 10.1080/10606820290005155 Structure-Function of the Glucagon Receptor Family of G Protein–Coupled Receptors: The Glucagon, GIP, GLP-1, and GLP-2 Receptors P. L. Brubaker Departments of Physiology and Medicine, University of Toronto, Toronto, Ontario, Canada D. J. Drucker Department of Medicine, Banting and Best Diabetes Centre, Toronto General Hospital, Toronto, Ontario, Canada convertases results in the liberation of glucagon in the pancreatic The glucagon-like peptides include glucagon, GLP-1, and A cell, and GLP-1 and GLP-2 in the intestinal L cell and brain GLP-2, and exert diverse actions on nutrient intake, gastrointesti- (Mojsov et al. 1986; Orskov et al. 1987). As discussed below, nal motility, islet hormone secretion, cell proliferation and apopto- all three proglucagon-derived peptides (PGDPs) play impor- sis, nutrient absorption, and nutrient assimilation. GIP, a related member of the glucagon peptide superfamily, also regulates nutri- tant roles in the physiologic regulation of nutrient homeosta- ent disposal via stimulation of insulin secretion. The actions of these sis, through effects on energy intake and satiety, nutrient fluxes peptides are mediated by distinct members of the glucagon recep- through and across the gastrointestinal tract, and energy as- tor superfamily of G protein–coupled receptors. These receptors similation. Several of these biological activities are shared by exhibit unique patterns of tissue-specific expression, exhibit consid- a fourth glucagon-related peptide hormone, glucose-dependent erable amino acid sequence identity, and share similar structural and functional properties with respect to ligand binding and sig- insulinotropic peptide (GIP) (Table 1). -
BUDE: GPU-Accelerated Molecular Docking for Drug Discovery
BUDE A General Purpose Molecular Docking Program Using OpenCL Richard B Sessions 1 The molecular docking problem Proteins typically O(1000) atoms ligand Ligands typically O(100) atoms predicted complex receptor 1 Sampling (6-degrees of freedom) EMC 2 Binding affinity prediction EFE-FF 2 An atom-atom based forcefield parameterised according to atom type, analagous to standard molecular mechanics 3 Empirical Free Energy Forcefield McIntosh-Smith, S., et al., Benchmarking Energy Efficiency, Power Costs and Carbon Emissions on Heterogeneous Systems. soft core Computer Journal, 2012. 55(2): p. 192-205. Re-docking a ligand into the Xray Structure (good prediction == low RMSD) 1CIL (Human carbonic anhydrase II) RMSD ~ 0.2 Å 5 Another example 1EZQ (Human Factor XA) RMSD ~ 1.2 Å 6 Accuracy of Pose Prediction (re-docking the BindingDB validation set, 84 complexes) www.bindingdb.org 7 Binding Energy Prediction: is BUDE any better? Mike Hann’s 2006 test of docking software Yes – better but not perfect! 8 BUDE Simplified Flow Diagram (C++/OpenCL) Start BUDE Enter Initial End BUDE Data Yes Data Error(s)? Reading Print Help Yes No Error(s)? Write Control File Prepare Data for Docking No Docking Info Type Docking End BUDE Act on No Option Small Yes Large Error(s)? Site Docking Surface Docking Generate Surface Pairs Calculate Energies Do Docking Print Results No Do Generation Rank Energies Host Job Parallel EMC Code? Score Results Accelerated Job Yes Yes Last No Generation 9 BUDE’s heterogeneous approach 1. Discover all OpenCL platforms/devices, inc. both CPUs and GPUs 2. Run a micro benchmark on each device, ideally a short piece of real work 3. -
Current Topics in Medicinal Chemistry, 2019, 19, 1399-1417 REVIEW ARTICLE
Send Orders for Reprints to [email protected] 1399 Current Topics in Medicinal Chemistry, 2019, 19, 1399-1417 REVIEW ARTICLE ISSN: 1568-0266 eISSN: 1873-4294 Impact Factor: Targeting the PAC1 Receptor for Neurological and Metabolic Disorders 3.442 The international journal for in-depth reviews on Current Topics in Medicinal Chemistry BENTHAM SCIENCE Chenyi Liao1, Mathilde P. de Molliens2, Severin T. Schneebeli1, Matthias Brewer1, Gaojie Song3, David Chatenet2, Karen M. Braas4, Victor May4,* and Jianing Li1,* 1Department of Chemistry, University of Vermont, Burlington, VT 05405, USA; 2INRS – Institut Armand-Frappier, 531 boul. des Prairies, Laval, QC H7V 1B7, Canada; 3Shanghai Key Laboratory of Regulatory Biology, Institute of Bio- medical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, P.R. China; 4Department of Neurological Sciences, University of Vermont, Larner College of Medicine, 149 Beaumont Avenue, Bur- lington, VT 05405, USA Abstract: The pituitary adenylate cyclase-activating polypeptide (PACAP)-selective PAC1 receptor (PAC1R, ADCYAP1R1) is a member of the vasoactive intestinal peptide (VIP)/secretin/glucagon fam- ily of G protein-coupled receptors (GPCRs). PAC1R has been shown to play crucial roles in the central and peripheral nervous systems. The activation of PAC1R initiates diverse downstream signal transduc- tion pathways, including adenylyl cyclase, phospholipase C, MEK/ERK, and Akt pathways that regu- late a number of physiological systems to maintain functional homeostasis. Accordingly, at times of tissue injury or insult, PACAP/PAC1R activation of these pathways can be trophic to blunt or delay apoptotic events and enhance cell survival. Enhancing PAC1R signaling under these conditions has the potential to mitigate cellular damages associated with cerebrovascular trauma (including stroke), neu- A R T I C L E H I S T O R Y rodegeneration (such as Parkinson’s and Alzheimer's disease), or peripheral organ insults. -
Glucagon-Like Peptide-1 and Its Class BG Protein–Coupled Receptors
1521-0081/68/4/954–1013$25.00 http://dx.doi.org/10.1124/pr.115.011395 PHARMACOLOGICAL REVIEWS Pharmacol Rev 68:954–1013, October 2016 Copyright © 2016 by The Author(s) This is an open access article distributed under the CC BY-NC Attribution 4.0 International license. ASSOCIATE EDITOR: RICHARD DEQUAN YE Glucagon-Like Peptide-1 and Its Class B G Protein–Coupled Receptors: A Long March to Therapeutic Successes Chris de Graaf, Dan Donnelly, Denise Wootten, Jesper Lau, Patrick M. Sexton, Laurence J. Miller, Jung-Mo Ahn, Jiayu Liao, Madeleine M. Fletcher, Dehua Yang, Alastair J. H. Brown, Caihong Zhou, Jiejie Deng, and Ming-Wei Wang Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.) Downloaded from Abstract. -
Gpcrs Globally Coevolved with Receptor Activity-Modifying Proteins, Ramps
GPCRs globally coevolved with receptor activity-modifying proteins, RAMPs Shahar Barbasha, Emily Lorenzena, Torbjörn Perssona,b, Thomas Hubera,1, and Thomas P. Sakmara,b,1 aLaboratory of Chemical Biology and Signal Transduction, The Rockefeller University, New York, NY, 10065; and bDepartment of Neurobiology, Care Sciences and Society, Division for Neurogeriatrics, Center for Alzheimer Research, Karolinska Institutet, 141 57 Huddinge, Sweden Edited by Andrew C. Kruse, Harvard University, and accepted by Editorial Board Member K. C. Garcia September 28, 2017 (received for review July 22, 2017) Receptor activity-modifying proteins (RAMPs) are widely expressed between the two. Therefore, highly coevolved protein pairs could in human tissues and, in some cases, have been shown to affect be members in the same pathway, or they could be components surface expression or ligand specificity of G-protein–coupled recep- of the same complex. tors (GPCRs). However, whether RAMP−GPCR interactions are wide- Previously, several cases of coevolution of receptor genes and spread, and the nature of their functional consequences, remains their endogenous protein−ligand genes were reported (13), but largely unknown. In humans, there are three RAMPs and over large-scale coevolution of different signal transduction components 800 expressed GPCRs, making direct experimental approaches chal- was not examined. Phylogenetic analysis to conclude coevolution lenging. We analyzed relevant genomic data from all currently avail- could be implemented by two complementary approaches. The able sequenced organisms. We discovered that RAMPs and GPCRs first searches for ortholog genes across species with the assumption tend to have orthologs in the same species and have correlated that interacting proteins would tend to coexist in genomes (10). -
NEURAL CREST in DEVELOPMENT and REPAIR NEURAL CREST in DEVELOPMENTNEURAL and REPAIR Jorge Aquino Benjamín Jorge Benjamín Aquino
Thesis for doctoral degree (Ph.D.) 2007 Thesis for doctoral degree (Ph.D.) 2007 NEURAL CREST IN DEVELOPMENT AND REPAIR NEURAL CREST IN DEVELOPMENT AND REPAIR NEURAL CREST IN DEVELOPMENT Jorge Benjamín Aquino Jorge Jorge Benjamín Aquino Division of Molecular Neurobiology Department of Medical Biochemistry and Biophysics Karolinska Institutet, Stockholm, Sweden NEURAL CREST IN DEVELOPMENT AND REPAIR Jorge Benjamín Aquino Stockholm 2007 All previously published papers were reproduced with permission from the publisher. Published by Karolinska Institutet. Printed by Larserics Digital Print AB © Jorge Benjamín Aquino, 2007 ISBN 978-91-7357-367-2 In memory of my father and showing gratitude to my mother “In summary, there are no small problems. Problems that appear small are large problems that are not understood. Nature is a harmonious mechanism where all parts, including those appearing to play a secondary role, cooperate in the functional whole. No one can predict their importance in the future. All natural arrangements, however capricious they may seem, have a function.” -Santiago Ramón y Cajal, 1897 ABSTRACT This thesis is focused on several aspects of neural crest biology, largely related to two main issues: 1) understanding its mechanisms of migration and 2) analyzing the potential of neural crest stem cells or their derivatives for nervous system repair. If repair is the aim, knowledge of both timing and events leading to axonal degeneration is required in order to block it and/or increase regeneration outcome. In these studies I have made use of mouse, rat and chicken in vivo and in vitro models to address specific questions regarding the scope of this thesis. -
Transcriptomic Analysis by RNA Sequencing Characterises Malignant Progression of Canine Insulinoma from Normal Tissue to Metastatic Disease Y
www.nature.com/scientificreports OPEN Transcriptomic analysis by RNA sequencing characterises malignant progression of canine insulinoma from normal tissue to metastatic disease Y. Capodanno1,2*, F. O. Buishand 2,3, L. Y. Pang2, J. Kirpensteijn3,5, J. A. Mol3, R. Elders2,4 & D. J. Argyle2 Insulinomas (INS) are the most common human and canine functioning pancreatic neuroendocrine tumours. The long-term prognosis for malignant INS is poor, because micrometastases are frequently missed during surgery. As human and canine malignant INS share clinical and histopathological features, dogs have been proposed as models for INS research. Using RNA-sequencing, we conducted a pilot study to better understand the underlying molecular mechanisms of canine INS. Normal canine pancreas and lymph node control tissues were compared with primary INS and INS-metastatic lymph nodes, revealing more than 3,000 genes diferentially expressed in normal pancreas compared to primary INS. Only 164 genes were diferentially expressed between primary INS and INS-metastatic lymph nodes. Hierarchical clustering analysis demonstrated similar genetic profles in normal pancreas and early clinical stage primary INS, whereas late clinical stage primary INS resembled the genetic profle of INS-metastatic lymph nodes. These fndings suggest that markers of malignant behaviour could be identifed at the primary site of the disease. Finally, using the REACTOME pathways database, we revealed that an active collagen metabolism, extracellular matrix remodelling, beta- cell diferentiation and non-beta-cell trans-diferentiation might cause disease progression and hyperinsulinism in INS, identifying major pathways worthy of future research in this currently poorly controlled disease. Insulinomas (INS) are the most commonly diagnosed functioning pancreatic neuroendocrine tumours in humans and dogs1,2. -
Heparanase Overexpression Induces Glucagon Resistance and Protects
Page 1 of 85 Diabetes Heparanase overexpression induces glucagon resistance and protects animals from chemically-induced diabetes Dahai Zhang1, Fulong Wang1, Nathaniel Lal1, Amy Pei-Ling Chiu1, Andrea Wan1, Jocelyn Jia1, Denise Bierende1, Stephane Flibotte1, Sunita Sinha1, Ali Asadi2, Xiaoke Hu2, Farnaz Taghizadeh2, Thomas Pulinilkunnil3, Corey Nislow1, Israel Vlodavsky4, James D. Johnson2, Timothy J. Kieffer2, Bahira Hussein1 and Brian Rodrigues1 1Faculty of Pharmaceutical Sciences, UBC, 2405 Wesbrook Mall, Vancouver, BC, Canada V6T 1Z3; 2Department of Cellular & Physiological Sciences, Life Sciences Institute, UBC, 2350 Health Sciences Mall, Vancouver, BC, Canada V6T 1Z3; 3Department of Biochemistry and Molecular Biology, Faculty of Medicine, Dalhousie University, 100 Tucker Park Road, Saint John, NB, Canada E2L 4L5; 4Cancer and Vascular Biology Research Center, Rappaport Faculty of Medicine, Technion, Haifa, Israel 31096 Running Title: Heparanase overexpression and the pancreatic islet Corresponding author: Dr. Brian Rodrigues Faculty of Pharmaceutical Sciences University of British Columbia, 2405 Wesbrook Mall, Vancouver, B.C., Canada V6T 1Z3 TEL: (604) 822-4758; FAX: (604) 822-3035 E-mail: [email protected] Key Words: Heparanase, heparan sulfate proteoglycan, glucose homeostasis, glucagon resistance, pancreatic islet, STZ Word Count: 4761 Total Number of DiabetesFigures: Publish 6 Ahead of Print, published online October 7, 2016 Diabetes Page 2 of 85 Abstract Heparanase, a protein with enzymatic and non-enzymatic properties, contributes towards disease progression and prevention. In the current study, a fortuitous observation in transgenic mice globally overexpressing heparanase (hep-tg) was the discovery of improved glucose homeostasis. We examined the mechanisms that contribute towards this improved glucose metabolism. Heparanase overexpression was associated with enhanced GSIS and hyperglucagonemia, in addition to changes in islet composition and structure.