See also: www.isb-sib.org See also: www.isb-sib.org 1. a short film produced by Studio KO graphic designers, which introduces the key notions for drug.

Slides:



Advertisements
Similar presentations
SOMA2 – Drug Design Environment. Drug design environment – SOMA2 The SOMA2 project Tekes (National Technology Agency of Finland) DRUG2000 program.
Advertisements

PUBLIC ChemAxon European UGM Building an Electronic Research Habitat at ETC Peter Condron.
The post-genomic challenge Exploring function across protein families using chemical probes  The CPFM is in early stages of development  Projects focus.
AutoDock 4 and AutoDock Vina -Brief Intruction
Jürgen Sühnel Institute of Molecular Biotechnology, Jena Centre for Bioinformatics Jena / Germany Supplementary Material:
Molecular dynamics refinement and rescoring in WISDOM virtual screenings Gianluca Degliesposti University of Modena and Reggio Emilia Molecular Modelling.
Bioinformatics Needs for the post-genomic era Dr. Erik Bongcam-Rudloff The Linnaeus Centre for Bioinformatics.
Jeffery Loo NLM Associate Fellow ’03 – ’05 chemicalinformaticsforlibraries.
Virtual Reality in Chemistry Dr Tim Coombs. A short science lesson (you lucky people!)
Introduction to Genomics, Bioinformatics & Proteomics Brian Rybarczyk, PhD PMABS Department of Biology University of North Carolina Chapel Hill.
Molecular Docking Using GOLD Tommi Suvitaival Seppo Virtanen S Basics for Biosystems of the Cell Fall 2006.
Luxembourg, Sep 2001 Pedro Fernandes Inst. Gulbenkian de Ciência, Oeiras, Portugal EMBER A European Multimedia Bioinformatics Educational Resource.
Dogan Seber, PhD San Diego Supercomputer Center University of California, San Diego I. DLESE Library II. DISCOVER OUR EARTH Earth Science Resources for.
Protein Structure and Drug Discovery Workshop To be held at Monash University, Mebourne, Australia October 3 rd to 4 th 2006 Molecular Visualization Learn.
Bioinformatics Ayesha M. Khan Spring Phylogenetic software PHYLIP l 2.
Important Points in Drug Design based on Bioinformatics Tools History of Drug/Vaccine development –Plants or Natural Product Plant and Natural products.
Welcome to the iTEC People & Events Directory … key points!
December 2010iTEC - Designing the future classroom1 Virginija Birenienė iTEC community moderator iTEC Edukata tools in Education.
Computational Chemistry. Overview What is Computational Chemistry? How does it work? Why is it useful? What are its limits? Types of Computational Chemistry.
Cédric Notredame (30/08/2015) Chemoinformatics And Bioinformatics Cédric Notredame Molecular Biology Bioinformatics Chemoinformatics Chemistry.
Teaching and Learning with Technology  Allyn and Bacon 2002 Academic Software Chapter 6 Teaching and Learning with Technology.
Knowledgebase Creation & Systems Biology: A new prospect in discovery informatics S.Shriram, Siri Technologies (Cytogenomics), Bangalore S.Shriram, Siri.
Education Breakout Group. Primary Goal Provide opportunities for accessible lifelong learning through phenology.
Bioinformatics and it’s methods Prepared by: Petro Rogutskyi
Using the WS-PGRADE Portal in the ProSim Project Protein Molecule Simulation on the Grid Tamas Kiss, Gabor Testyanszky, Noam.
High-Throughput Virtual Molecular Docking: Hadoop Implementation of AutoDock4 on a Private Cloud Sally R. Ellingson Graduate Research Assistant Center.
Group work based assessment in distance learning Dr Clare Sansom, CDE Fellow 20 July 2015.
Master’s Degrees in Bioinformatics in Switzerland: Past, present and near future Patricia M. Palagi Swiss Institute of Bioinformatics.
What is Computing? College of Computing Graphics, Visualization, and Usability Center
3D structure -Swiss Pdb Viewer
Protein Molecule Simulation on the Grid G-USE in ProSim Project Tamas Kiss Joint EGGE and EDGeS Summer School.
Parameter Sweep Workflows for Modelling Carbohydrate Recognition ProSim Project Tamas Kiss, Gabor Terstyanszky, Noam Weingarten.
INFSO-RI Enabling Grids for E-sciencE V. Breton, 30/08/05, seminar at SERONO Grid added value to fight malaria Vincent Breton EGEE.
Page 1 SCAI Dr. Marc Zimmermann Department of Bioinformatics Fraunhofer Institute for Algorithms and Scientific Computing (SCAI) Grid-enabled drug discovery.
Integrating the Bioinformatic Technology Group into your research programme Introduction People and Skills Examples Integrating the BTG Contacts BHRC Away.
1 NanoSense Who? – Teachers in elementary and secondary institutions – Essentially all science teachers should be included What? – Basic unifying chemistry,
Inspiration® a visual learning tool that inspires students to develop ideas and organize thinking.
Inspiration® a visual learning tool that inspires students to develop ideas and organize thinking.
INFSO-RI Enabling Grids for E-sciencE In silico docking on EGEE infrastructure, the case of WISDOM Nicolas Jacq LPC of Clermont-Ferrand,
Biological Signal Detection for Protein Function Prediction Investigators: Yang Dai Prime Grant Support: NSF Problem Statement and Motivation Technical.
Data provenance in biomedical discovery Donald Dunbar Queen’s Medical Research Institute University of Edinburgh Workshop on Principles of Provenance in.
Bioinformatics MEDC601 Lecture by Brad Windle Ph# Office: Massey Cancer Center, Goodwin Labs Room 319 Web site for lecture:
Information Technology in the Natural Sciences Biology – Chemistry – Physics.
Computing and You ‘How can ICT help at home’. Aims of this session A practical hands-on session allowing you time to experience the software your children.
WELCOME CONCEPT AND OBJECTIVES MEETINGING COUNTY GOVERNMENT.
Introduction to Chemoinformatics and Drug Discovery Irene Kouskoumvekaki Associate Professor February 15 th, 2013.
1 Mining Images of Material Nanostructure Data Aparna S. Varde, Jianyu Liang, Elke A. Rundensteiner and Richard D. Sisson Jr. ICDCIT December 2006 Bhubaneswar,
See also: See also: 1. a short film produced with the help of graphic designers Studio KO introduced the key notions for.
Artificial Intelligence Research Laboratory Bioinformatics and Computational Biology Program Computational Intelligence, Learning, and Discovery Program.
Milanesi Luciano Catania, Italy 13/03/2007 Bioinformatics challenges in European projects in Grid. Milanesi Luciano National Research Council Institute.
2014 Using machine learning to predict binding sites in proteins Jenelle Bray Stanford University October 10, 2014 #GHC
Docking and Virtual Screening Using the BMI cluster
Thematic priorities Life sciences, genomics and biotechnology for health Nanotechnology Aeronautics Food quality and safety Sustainable development, global.
Molecular Modeling in Drug Discovery: an Overview
Show & Tell Limsoon Wong Kent Ridge Digital Labs Singapore Role of Bioinformatics in the Genomic Era.
1 Using DLESE: Finding Resources to Enhance Teaching Shelley Olds Holly Devaul 11 July 2004.
Page 1 Computer-aided Drug Design —Profacgen. Page 2 The most fundamental goal in the drug design process is to determine whether a given compound will.
Theoretical investigating DNA binding properties in Rad51D as a way to find missing facts in Homologous Recombination Repair mechanism Lecturer: Mohammad.
Peter Kacsuk, Zoltan Farkas MTA SZTAKI
Biological Databases By: Komal Arora.
SEMINAR 1. Title : Discovery of Protein-Protein Interaction Modulators Using Affinity-Based High-Throughput Screening 2. Speaker : Hyun-Suk Lim (포항공대 (POSTECH))
Using DLESE: Finding Resources to Enhance Teaching
APPLICATIONS OF BIOINFORMATICS IN DRUG DISCOVERY
Important Points in Drug Design based on Bioinformatics Tools
CICC Combines Grid Computing with Chemical Informatics
Best Practices.
Ligand Docking to MHC Class I Molecules
Important Points in Drug Design based on Bioinformatics Tools
Flashcards Chapter 8.
Molecular Modeling of the Human A1 Adenosine Receptor
Presentation transcript:

See also: See also: 1. a short film produced by Studio KO graphic designers, which introduces the key notions for drug design (protein target, disease, ligand, docking,…) Contact Drug Design for high school students, high school teachers and the public at large Our aim is to introduce, in an engaging and challenging way, concepts such as 3D structure, protein function, diseases and the role played by bioinformatics in drug discovery and development. Our workshop involves… Blatter Marie-Claude 1,4, Daina Antoine 2, Baillie Gerritsen Vivienne 1, Marek Diana 3,4, Palagi Patricia M. 4, Xenarios Ioannis 1,3, Schwede Torsten 5, Michielin Olivier 2, Zoete Vincent 2 1 Swiss-Prot group, Geneva, 2 Molecular Modeling group, Lausanne, 3 Vital-IT group, Lausanne, 4 Training and Outreach group, 5 Computational Structural Biology group, Basel SIB Swiss Institute of Bioinformatics, Switzerland Funded by the FNS (Agora) and …… 2. the ‘manual docking’ of 3D-printed small molecules into a 3D-printed structure representing the target protein on a one-to-one scale, and ‘manual docking’ with a camera system ( leap motion ) 3. tools embedded into a user friendly freely accessible web interface: participants can design new ‘virtual’ molecules, visualize their binding mode and estimate their affinity for the target protein, which they can then compare with existing drugs 5. pen and pencil activities to understand how a computer encodes chemical structures (fingerprints) and how similarities between molecules are calculated. The workshops give a simple yet realistic picture of how bioinformatics is used to design drug candidates. Hands-on sessions are for cancer (target BRAF and IDO1) and pain (target COX) treatments. Over 200 people attended our pilot workshops. Many of them, even with a very limited knowledge of chemistry, were inspired by the challenge to sketch a molecule whose properties – compared to well-known drugs - they could perhaps improve, in competition with other participants. According to a first evaluation (n=35), the participants (over 16 years) really appreciate using bona fide bioinformatics tools. Those interested in science for their future studies also appreciated discovering a new professional field. The workshops are currently given by 2 public labs: ‘Chimiscope’ in Geneva and ‘l’Éprouvette’ in Lausanne. There will soon be an English and German version of the workshops, which will broaden the area to the whole of Switzerland as well as abroad. Interested? Please, contact us! a molecular docking simulation (AutoDock Vina) predicts the binding mode and compares molecule- protein affinity with existing drugs (score)) 4. direct links to expert tools for predicting possible targets ( SwissTargetPrediction) as well as important properties of the molecule in order to evaluate its potential of becoming a drug (SwissADME) draw a new molecule in 2D (Marvin plot) 3D printed COX2 protein with 6 of its known ligands (non- steroidal anti- inflammatory drugs) iterative approach