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Substrate Selectivity Profiling of the Human Monoamine Transporters
DISSERTATION Titel der Dissertation Substrate Selectivity Profiling of the Human Monoamine Transporters Verfasst von Amir Seddik, B.Sc., M.Sc. angestrebter akademischer Grad Doktor der Naturwissenschaften (Dr. rer. nat.) Wien, 2015 Studienkennzahl lt. Studienblatt: A 796 610 449 Dissertationsgebiet lt. Studienblatt: Pharmazie, DK: Molecular Drug Targets Betreut von: Univ.-Prof. Mag. Dr. Gerhard F. Ecker A. Seddik - Substrate Selectivity Profiling of the Human Monoamine Transporters A. Seddik - Substrate Selectivity Profiling of the Human Monoamine Transporters Acknowledgement Hereby I would like to express my sincere gratitude to Prof. Gerhard F. Ecker, who has integrated me into the scientific community by letting me join his research group. I am thankful for his training during all these years, which has formed me into a very independent researcher. I thank him for his time and support and I admire his ambitions and interest for integrating students on European and international level. It has been an honor to work at the pharmaceutical department of the University of Vienna in this beautiful city. Gerhard, thank you for the great time. My gratitude goes out to Michael Freissmuth and my co-supervisor Harald H. Sitte with whom we had very successful collaborations and I thank them for giving me the opportunity to learn the experimental methods. I acknowledge the support from the MolTag program, to which I have applied for in the first place. The consortium has proven that collaboration between groups of different expertise is educative and beneficial to publish in world-class journals. I thank Steffen Hering, Gerhard Ecker, Marko Mihovilovic, Margot Ernst, Doris Stenitzer and Sophia Khom for devoting their time to the management of the project. -
Evaluating Small Molecule Microscopic and Macroscopic Pka
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.15.341792; this version posted October 15, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. 1 Overview of the SAMPL6 pK a Challenge: 2 Evaluating small molecule microscopic and 3 macroscopic pK a predictions 4 Mehtap Işık (ORCID: 0000-0002-6789-952X)1,2*, Ariën S. Rustenburg (ORCID: 0000-0002-3422-0613)1,3, Andrea 5 Rizzi (ORCID: 0000-0001-7693-2013)1,4, M. R. Gunner (ORCID: 0000-0003-1120-5776)6, David L. Mobley (ORCID: 6 0000-0002-1083-5533)5, John D. Chodera (ORCID: 0000-0003-0542-119X)1 7 1Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, 8 New York, NY 10065, United States; 2Tri-Institutional PhD Program in Chemical Biology, Weill Cornell Graduate 9 School of Medical Sciences, Cornell University, New York, NY 10065, United States; 3Graduate Program in 10 Physiology, Biophysics, and Systems Biology, Weill Cornell Medical College, New York, NY 10065, United States; 11 4Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Graduate School of Medical 12 Sciences, Cornell University, New York, NY 10065, United States; 5Department of Pharmaceutical Sciences and 13 Department of Chemistry, University of California, Irvine, Irvine, California 92697, United States; 6Department of 14 Physics, City College of New York, New York NY 10031 15 *For correspondence: 16 [email protected] (MI) 17 18 Abstract 19 K The prediction of acid dissociation constants (p a) is a prerequisite for predicting many other properties of a small molecule, 20 such as its protein-ligand binding affinity, distribution coefficient (log D), membrane permeability, and solubility. -
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Wang and Tseng J Cheminform (2019) 11:78 https://doi.org/10.1186/s13321-019-0401-4 Journal of Cheminformatics SOFTWARE Open Access IntelliPatent: a web-based intelligent system for fast chemical patent claim drafting Pei‑Hua Wang1 and Yufeng Jane Tseng1,2* Abstract The frst step of automating composition patent drafting is to draft the claims around a Markush structure with sub‑ stituents. Currently, this process depends heavily on experienced attorneys or patent agents, and few tools are avail‑ able. IntelliPatent was created to accelerate this process. Users can simply upload a series of analogs of interest, and IntelliPatent will automatically extract the general structural scafold and generate the patent claim text. The program can also extend the patent claim by adding commonly seen R groups from historical lists of the top 30 selling drugs in the US for all R substituents. The program takes MDL SD fle formats as inputs, and the invariable core structure and variable substructures will be identifed as the initial scafold and R groups in the output Markush structure. The results can be downloaded in MS Word format (.docx). The suggested claims can be quickly generated with IntelliPatent. This web‑based tool is freely accessible at https ://intel lipat ent.cmdm.tw/. Keywords: Web server, Markush structure, Pharmaceutical patent Introduction of visualizing and analyzing Markush structures from a Claims are the most important sections in composition composition patent [7]. Its web based application, iMa- patents [1]. In the pharmaceutical industry, claims should rVis, revised the underlying R group numbering system include key compounds and all structural derivatives that to deal with nested R group presentation [8]. -
The Impact of Academic Patenting on the Rate, Quality, and Direction of (Public) Research Output
Methodology Data & Measurement Results Summary The Impact of Academic Patenting on the Rate, Quality, and Direction of (Public) Research Output Pierre Azoulay1 Waverly Ding2 Toby Stuart3 1Sloan School of Management MIT & NBER [email protected] 2Haas School of Business University of California — Berkeley 3Graduate School of Business Harvard University January 23, 2007 — Northwestern University Azoulay, Ding, Stuart The Impact of Academic Patenting Methodology Data & Measurement Results Summary Outline 1 Motivation(s) 2 Methodology Problems with existing approaches Selection on observables with staggered treatment decisions Implementing IPTCW estimation 3 Data & Measurement Data sources Measuring “patentability” Descriptive statistics 4 Results The determinants of selection into patenting The impact of academic patenting on the rate of publications The impact of academic patenting on the quality of publications The impact of academic patenting on the content of publications 5 Caveats, Summary & Future Directions Azoulay, Ding, Stuart The Impact of Academic Patenting Methodology Data & Measurement Results Summary Outline 1 Motivation(s) 2 Methodology Problems with existing approaches Selection on observables with staggered treatment decisions Implementing IPTCW estimation 3 Data & Measurement Data sources Measuring “patentability” Descriptive statistics 4 Results The determinants of selection into patenting The impact of academic patenting on the rate of publications The impact of academic patenting on the quality of publications The impact -
In Silico Molecular Modelling and Design of Heme-Containing Peroxidases for Industrial Applications
In silico molecular modelling and design of heme-containing peroxidases for industrial applications Marina Cañellas Fontanilles Aquesta tesi doctoral està subjecta a la llicència Reconeixement- NoComercial 3.0. Espanya de Creative Commons. Esta tesis doctoral está sujeta a la licencia Reconocimiento - NoComercial 3.0. España de Creative Commons. This doctoral thesis is licensed under the Creative Commons Attribution-NonCommercial 3.0. Spain License. Marina Cañellas Fontanilles molecular modelling and design of heme-containing peroxidases for industrial applications applications industrial for peroxidases molecular modelling and design of heme-containing In silico In silico molecular modelling and design of heme-containing peroxidases for industrial applications Marina Cañellas Fontanilles UNIVERSITAT DE BARCELONA Facultat de Farmàcia i Ciències de l’Alimentació Programa de Doctorat en Biotecnologia In silico molecular modelling and design of heme-containing peroxidases for industrial applications Memòria presentada per Marina Cañellas Fontanilles per optar al títol de doctor per la Universitat de Barcelona Dirigida per: Dr. Victor Guallar Tasies Dr. Maria Fátima Lucas Tutora: Dr. Josefa Badia Palacín Marina Cañellas Fontanilles Barcelona, 2018 “Voici mon secret: L’essentiel est invisible pour les yeux.” “And now here is my secret: what is essential is invisible to the eye.” Antoine de Saint-Exupéry, Le Petit Prince Table of Contents ACKNOWLEDGEMENTS ............................................................................ i LIST OF -
Construing Patentability of Chemical Technology Inventions, with Focus
Construing Patentability of Chemical Technology Inventions, with Focus on their Patent Eligibility and Industrial Applicability: A Comparison on the Patent Examination Approach in the Philippines and in Japan By Anthea Kristine Y. Paculan Intellectual Property Office of the Philippines Supervised by Yorimasa Suwa, PhD., MBA Senior Researcher, Asia-Pacific Industrial Property Center, Japan Institution of Promoting Invention and Innovation Advised by Dr. Kazukiyo Nagai Professor, Department of Applied Chemistry, School of Science and Technology, Meiji University Tokiko Mizuochi, Ph.D Project Assistant Professor, Keio University Office for Open Innovation Final Report In fulfillment of the Study Cum Research fellowship program Sponsored by Japan Patent Office 27 June – 25 October 2019 The views and findings in this report are those of the author and do not necessarily reflect the views and policy of the organization or sponsor of this study. i ○c JPO 2020 Abstract The Intellectual Property Office of the Philippines (IPOPHL) must cope up with the emerging challenges in the patent examination of various fields of technology. The Chemical Technology field at IPOPHL covers a wide array of chemical-related subject-matters which in turn has resulted in handling concerns to the examiners assigned to perform substantive examination on such diverse technologies. Japan Patent Office (JPO) has provided comprehensive guidelines addressing various patentability issues, especially that of patent eligibility and industrial applicability of subject matters in the chemical field. By introducing conceptual aspects of the Japanese patent system as a model, this study allowed the investigation of the similarities and differences in JPO’s and IPOPHL’s examination procedure and assessment of patentability requirements, with focus on patent eligibility and industrial applicability of chemical technology inventions. -
Intellectual Property in the Context of the WTO TRIPS Agreement: Challenges for Public Health MINISTER of HEALTH Humberto Costa
Intellectual Property in the Context of the WTO TRIPS Agreement: challenges for public health MINISTER OF HEALTH Humberto Costa PRESIDENT OF OSWALDO CRUZ FOUNDATION Paulo Marchiori Buss DIRECTOR OF NATIONAL SCHOOL OF PUBLIC HEALTH Jorge A. Z. Bermudez COORDINATOR OF NUCLEUS FOR PHARMACEUTICAL POLICIES Jorge A. Z. Bermudez Intellectual Property in the Context of the WTO TRIPS Agreement: challenges for public health EDITORS: Jorge A. Z. Bermudez Maria Auxiliadora Oliveira WHO/PAHO Collaborating Center for Pharmaceutical Policies National School of Public Health Sergio Arouca Oswaldo Cruz Foundation A S L U O T R E P O P A P H S O N I O D V I M U N Rio de Janeiro, September 2004 Copyrigth © 2004 ENSP/WHO – Oswaldo Cruz Foundation – FIOCRUZ, Jorge A.Z. Bermudez. 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, without prior permission of the National School of Public Health Sergio Arouca. ISBN: 85-88026-16-3 Cover and Graphic Design: Lucia ReginaPantojo de Brito English Translation: Laura Anne Krech Revisions: Claudia Garcia Serpa Osório de Castro Gabriela Costa Chaves Thiago Botelho Azeredo NOTE FROM THE AUTHORS This book presents information produced or compiled by Nucleus for Pharmaceutical Policies professionals and external collaborators regarding the process of implementation of the TRIPS Agreement in developing countries, focusing on its implications for public health policies, particularly those related to access to medicines. Interpretations and views expressed in this publication are solely the responsibility of the authors, not representing any official or institutional position, as to the issues here approached. -
Evaluation of Log P, Pka, and Log D Predictions from the SAMPL7 Blind Challenge
Journal of Computer-Aided Molecular Design (2021) 35:771–802 https://doi.org/10.1007/s10822-021-00397-3 Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge Teresa Danielle Bergazin1 · Nicolas Tielker6 · Yingying Zhang3 · Junjun Mao4 · M. R. Gunner3,4 · Karol Francisco5 · Carlo Ballatore5 · Stefan M. Kast6 · David L. Mobley1,2 Received: 21 April 2021 / Accepted: 5 June 2021 / Published online: 24 June 2021 © The Author(s) 2021 Abstract The Statistical Assessment of Modeling of Proteins and Ligands (SAMPL) challenges focuses the computational modeling community on areas in need of improvement for rational drug design. The SAMPL7 physical property challenge dealt with prediction of octanol-water partition coefcients and pKa for 22 compounds. The dataset was composed of a series of N-acylsulfonamides and related bioisosteres. 17 research groups participated in the log P challenge, submitting 33 blind submissions total. For the pKa challenge, 7 diferent groups participated, submitting 9 blind submissions in total. Overall, the accuracy of octanol-water log P predictions in the SAMPL7 challenge was lower than octanol-water log P predictions in SAMPL6, likely due to a more diverse dataset. Compared to the SAMPL6 pKa challenge, accuracy remains unchanged in SAMPL7. Interestingly, here, though macroscopic pKa values were often predicted with reasonable accuracy, there was dramatically more disagreement among participants as to which microscopic transitions produced these values (with methods often disagreeing even as -
Elsevier Research Platforms
| 1 | Scopus Trainer : Nattaphol Sisuruk Elsevier Training Consultant, Research Solutions E-mail : [email protected] | 2 | ELSEVIER is a leading Science & Health Information Provider CONTENTPROVISION ‘E’ CONTENT PROVISION RESEARCH MGMT SEARCH & DISCOVERY /PROMOTION TOOLS Niels Louis Alexander Albert George F. John C. Roger D. Craig C Mello Smoot Medicine Bohr Physics Pasteur Fleming Einstein Mather Kornberg Physics Physics (Chemistry) Medicine Physics Chemistry 2 | 3 | Globally recognised high impact content Disseminate Global Elsevier Citations Total STM reference, publication & citations Elsevier share Coverage: Approximately 5,000 publishers Other Get cited Publisher A Publisher B CertifyCertify Investigate Global Elsevier Publications Global References to Elsevier Elsevier Publish Cite Elsevier Other Publisher A Other Publisher A Publisher B 24 Citations Per Paper: Publisher B 27% of all references Global team 2010-2014 74 offices in 24 countries Publisher References Publications Citations 7,000 Journal Editors Elsevier 56,304,346 1,888,115 45,990,748 Publisher A 15,738,334 1,221,036 22,374,220 70,000 Editorial Board Members Publisher B 23,064,330 747,976 18,298,048 600,000 authors Other 116,371,011 5,261,600 95,192,376 Totals 211,478,021 9,118,727 181,855,392 | 4 | Elsevier Research Platforms : Researchers seek a digital environment where ideas can be exchanged, examined, and applied with tools that empower STM knowledge. To find and analyze data from over 5000 publishers Access the leading eBooks and journal articles published by Elsevier Manage your research and showcase your profile via free services :These platforms make data and content easier to search, access, analyze, and share. -
Bringing Open Source to Drug Discovery
Bringing Open Source to Drug Discovery Chris Swain Cambridge MedChem Consulting Standing on the shoulders of giants • There are a huge number of people involved in writing open source software • It is impossible to acknowledge them all individually • The slide deck will be available for download and includes 25 slides of details and download links – Copy on my website www.cambridgemedchemconsulting.com Why us Open Source software? • Allows access to source code – You can customise the code to suit your needs – If developer ceases trading the code can continue to be developed – Outside scrutiny improves stability and security What Resources are available • Toolkits • Databases • Web Services • Workflows • Applications • Scripts Toolkits • OpenBabel (htttp://openbabel.org) is a chemical toolbox – Ready-to-use programs, and complete programmer's toolkit – Read, write and convert over 110 chemical file formats – Filter and search molecular files using SMARTS and other methods, KNIME add-on – Supports molecular modeling, cheminformatics, bioinformatics – Organic chemistry, inorganic chemistry, solid-state materials, nuclear chemistry – Written in C++ but accessible from Python, Ruby, Perl, Shell scripts… Toolkits • OpenBabel • R • CDK • OpenCL • RDkit • SciPy • Indigo • NumPy • ChemmineR • Pandas • Helium • Flot • FROWNS • GNU Octave • Perlmol • OpenMPI Toolkits • RDKit (http://www.rdkit.org) – A collection of cheminformatics and machine-learning software written in C++ and Python. – Knime nodes – The core algorithms and data structures are written in C ++. Wrappers are provided to use the toolkit from either Python or Java. – Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity searches. -
The Concept of Novel Compositions of Matter: a Theoretical Analysis
rty Right e s: op O r p P e l n a Robson, Intel Prop Rights 2013, 2:1 u A t c c c e l e DOI: 10.4172/2375-4516.1000108 l s e t s n Intellectual Properties Rights: Open Access I ISSN: 2375-4516 ReviewResearch Article Article OpenOpen Access Access The Concept of Novel Compositions of Matter: A Theoretical Analysis Barry Robson* University Director of Research, St Matthews University School of Medicine, The Dirac Foundation, Oxford shire UK and Quantal Semantics Inc., North Carolina, USA Abstract Here is discussed in the manner of a review the nature and uses of information measures in the discipline of patenting. From one perspective, the information content in a patent diminishes rapidly as the broadness of the claims increases. Claims made by Markush representations facilitate the quantification of that. The equations will approach yielding zero information if a massive number of chemical themes were implied. Importantly, a more detailed examination of these equations have implications that allow discussion of various aspects of novelty, reasonable consistency with a specific purpose, and perhaps even how many arguments and counterarguments there should be between examiner and assignee. Keywords: Novel compositions; Patents; Similarity a biological target molecule that provides a complementary surface (albeit influenced by the surrounding environment); if favorable, it Introduction allows specific binding. In principle, the focus on formula hugely helps the discipline of patenting. It reflects the fact that adding, removing, Information from patents changing, or rearranging atoms in a molecule occurs in discrete jumps, By serving to protect intellectual property in exchange for disclosing computationally a matter of integers employed in a clear cut graph- new insight and data for the benefit of science and engineering, patents theoretic description (in contrast, the above field involves continuous are well recognized to be a rich information source [1]. -
Bulk Processing of Molecule Patent Associations“
DIPLOMARBEIT / DIPLOMA THESIS Titel der Diplomarbeit / Title of the Diploma Thesis „Bulk Processing of Molecule Patent Associations“ verfasst von / submitted by Patrick Penner angestrebter akademischer Grad / in partial fulfilment of the requirements for the degree of Magister der Pharmazie (Mag. Pharm.) Wien, 2017 / Vienna, 2017 Studienkennzahl lt. Studienblatt / A 449 degree programme code as it appears on the student record sheet: Studienrichtung lt. Studienblatt / Diplomstudium Pharmazie degree programme as it appears on the student record sheet: Betreut von / Supervisor: Univ.-Prof. Mag. Dr. Thierry Langer Mitbetreut von / Co-Supervisor: Acknowledgements First and foremost, I would like to thank Prof. Dr. Thierry Langer for the opportunity of this project and the many things I learned in the course of it. It was an enlightening experience and a very welcome chance to apply knowledge. Furthermore, I would like to thank Gökhan Ibis for his continued support and guidance in software development. I would also like to thank Dr. Thomas Seidel for his expertise in cheminformatics and the specific pointers he gave me along the way. Miriam Penner deserves mentioning for her graphical design work on the KNIME Node icon. Lastly I would like to thank my patient proofreaders: Katharina Penner, Miriam Penner, Arthur Garon, Clara van Hoey and Markus Wieder. iii Kurzfassung Die Suche nach Molekülen in chemischen Patenten ist schon seit Jahrzehnten eine Heraus- forderung. Die Ungenauigkeit von Moleküldarstellungen, die Extraktion von Strukturen aus Patenten und die große Anzahl veröffentlichter Patente erschweren dieses Unterfangen. Dieses Projekt widmet sich einem bis jetzt wenig beachteten Aspekt der Patentsuche, nämlich einer automatisierten Suche nach Patenten für größere Molekülmengen.