VISUALIZATION OF ADVERSE EFFECT PATHWAYS Hristo Aladjov.

Slides:



Advertisements
Similar presentations
Agent-based Modeling: A Brief Introduction Louis J. Gross The Institute for Environmental Modeling Departments of Ecology and Evolutionary Biology and.
Advertisements

IQF Framework for QSAR 1. Identify Plausible Molecular Initiating Events 2. Design Database for Abiotic Binding Affinity/Rates 3. Explore Linkages in Pathways.
National Pesticide Program A New Toxicology Testing Paradigm: Meeting Common Needs Steven Bradbury, Director Environmental Fate and Effects Division Office.
Using the Semantic Web to Construct an Ontology- Based Repository for Software Patterns Scott Henninger Computer Science and Engineering University of.
…Is how cells coordinate their physiological behaviors …Greater than the sum of their subcellular organelles
Object-Oriented Analysis and Design
1 Genetics The Study of Biological Information. 2 Chapter Outline DNA molecules encode the biological information fundamental to all life forms DNA molecules.
Building Enterprise Applications Using Visual Studio ®.NET Enterprise Architect.
A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae Article by Peter Uetz, et.al. Presented by Kerstin Obando.
1 Learning from Behavior Performances vs Abstract Behavior Descriptions Tolga Konik University of Michigan.
Presentation Outline  Project Aims  Introduction of Digital Video Library  Introduction of Our Work  Considerations and Approach  Design and Implementation.
Challenges to Representing Pathways Nancy R. Gough, Ph.D. Editor, Science Signaling, AAAS.
1 BrainWave Biosolutions Limited Accelerating Life Science Research through Technology.
Oakkar Fall The Need for Decision Engine Automate business processes Implement complex business decision logic Separation of rules and process Business.
© 2011 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 1 August 15th, 2012 BP & IA Team.
LÊ QU Ố C HUY ID: QLU OUTLINE  What is data mining ?  Major issues in data mining 2.
Collaboration  ICT  Mind-mapping John Ralston  Deirdre Cook The Open University.
The Science of Life Biology unifies much of natural science
Crosscutting Concepts and Disciplinary Core Ideas February24, 2012 Heidi Schweingruber Deputy Director, Board on Science Education, NRC/NAS.
SOA, BPM, BPEL, jBPM.
Web 2.0 for Government Knowledge Management Everyone benefits by sharing knowledge March 24, 2010 Emerging Technologies Work Group Rich Zaziski, CEO FYI.
Ch10. Intermolecular Interactions and Biological Pathways
Cytoscape A powerful bioinformatic tool Mathieu Michaud
Synthetic biology: New engineering rules for emerging discipline Andrianantoandro E; Basu S; Karig D K; Weiss R. Molecular Systems Biology 2006.
Office of Pesticide Programs 21st Century Screening Assessment of Pesticides – A Regulatory View Vicki Dellarco, Ph.D. Senior Science Advisor Office of.
Scientific Inquiry Mr. Wai-Pan Chan Scientific Inquiry Research & Exploratory Investigation Scientific inquiry is a way to investigate things, events.
-1- Philipp Heim, Thomas Ertl, Jürgen Ziegler Facet Graphs: Complex Semantic Querying Made Easy Philipp Heim 1, Thomas Ertl 1 and Jürgen Ziegler 2 1 Visualization.
Kevin M. Crofton, PhD US Environmental Protection Agency McKim Conference Duluth MN September 17, 2008 Thyroid Mediated CNS Dysfunction How to use what.
Helping scientists collaborate BioCAD. ©2003 All Rights Reserved.
KMS Products By Justin Saunders. Overview This presentation will discuss the following: –A list of KMS products selected for review –The typical components.
University “Politehnica” of Bucharest I-TRACE PROJECT 2nd Partners Meeting, Potsdam, June 8-9, 2006 Artificial Intelligence and Multi-Agent Systems Laboratory.
UML based expert system generation Using Enterprise Architect to model and generate a web-based expert system.
2 n McKim Workshop on Reducing Data Redundancy in Cancer Assessment | 8 – 10 May 2012 | Baltimore, MD Highlighting the Need for AOPs in Streamlining Hazard.
1 Code User: Breaking the Code SESSION 3 Thinking about Thinking: Setting the Stage for Independent Reading.
DEV337 Modeling Distributed Enterprise Applications Using UML in Visual Studio.NET David Keogh Program Manager Visual Studio Enterprise Tools.
Crysten Caviness Curriculum Management Specialist Birdville ISD.
Claim, Evidence, Reasoning and Experimental Design Review.
0 Focusing on the Adverse Outcomes of ER-mediated Pathways Rodney Johnson ORD/MED McKim Conference September 16-18, 2008.
Mike Comber TIMES-SS Application of Reactivity Principles in Screening for Skin Sensitisers Presented on behalf of the TIMES-SS consortia & International.
Systems Biology ___ Toward System-level Understanding of Biological Systems Hou-Haifeng.
Mining Biological Data. Protein Enzymatic ProteinsTransport ProteinsRegulatory Proteins Storage ProteinsHormonal ProteinsReceptor Proteins.
Face Detection Ying Wu Electrical and Computer Engineering Northwestern University, Evanston, IL
Federal Institute for Drugs and Medical Devices The BfArM is a Federal Institute within the portfolio of the Federal Ministry of Health (BMG) The use of.
Structural Models Lecture 11. Structural Models: Introduction Structural models display relationships among entities and have a variety of uses, such.
Introduction to the Semantic Web and Linked Data Module 1 - Unit 2 The Semantic Web and Linked Data Concepts 1-1 Library of Congress BIBFRAME Pilot Training.
BBN Technologies Copyright 2009 Slide 1 The S*QL Plugin for Cytoscape Visual Analytics on the Web of Linked Data Rusty (Robert J.) Bobrow Jeff Berliner,
Ontologies Working Group Agenda MGED3 1.Goals for working group. 2.Primer on ontologies 3.Working group progress 4.Example sample descriptions from different.
Working with Ontologies Introduction to DOGMA and related research.
Psy 311: Methods1 GOALS OF DEVELOPMENTAL PSYCHOLOGY l Describe, explain, and optimize human development.
Working Memory and Learning Underlying Website Structure
MODEL-BASED SOFTWARE ARCHITECTURES.  Models of software are used in an increasing number of projects to handle the complexity of application domains.
The McKim Conferences for the Strategic Use of Testing Gitchee Gumee Conference Center Duluth, Minnesota June 27-29, 2006.
QSAR in CANCER ASSESSMENT PURPOSE and AGENDA Gilman Veith Duluth MN May 19-21, 2010.
The New Solution? Translate XHTML to Java GUI.. Advantages Using XML W3C support XSLT Language Testing Language Specification Using XHTML Reuse web tools.
OECD’s work on Adverse outcome pathways
McKim Conference on Predictive Toxicology The Inn of Lake Superior Duluth, Minnesota September 16-18, 2008 Toxicity Pathways as an Organizing Concept Gilman.
McKim Conference on Predictive Toxicology The Inn of Lake Superior Duluth, Minnesota September 25-27, 2007 Toxicity Pathways as an Organizing Concept Gilman.
QSAR in CANCER ASSESSMENT PURPOSE and AGENDA Gilman Veith Duluth MN May 19-21, 2010.
Visual Knowledge ® Software Inc. Visual Knowledge BioCAD Case Study Parallels to Other Domains VK Semantic Web Server.
Information Sharing on the Social Semantic Web Aman Shakya* and Hideaki Takeda National Institute of Informatics, Tokyo, Japan The Second NEA-JC Workshop.
High throughput biology data management and data intensive computing drivers George Michaels.
Canadian Bioinformatics Workshops
Designing Drugs Virtually P14D461P - Arni B. Hj. Morshidi P14D389P - Anisah Bt Ismail P14D397P - Syarifah Rohaya Bt Wan Idris P14D394P - Dayang Adelina.
Agent-Based Modeling ANB 218a Jeff Schank.
Building Enterprise Applications Using Visual Studio®
Towards a framework for architectural design decision support
Introduction to Design Patterns
The Systems Engineering Context
Visualization of Adverse effect pathways
Introduction to the AOP framework concept and online course
Presentation transcript:

VISUALIZATION OF ADVERSE EFFECT PATHWAYS Hristo Aladjov

O VERVIEW Overview  What are adverse effect pathways ?  Challenges of the Adverse Effect Pathways ?  What are some of the existing solutions for representing pathways ?  Why Adverse Effect Pathways are important for QSAR models ?  The Solution

O VERVIEW What are Adverse Effect Pathways Generalized Estrogen Receptor (ER) Adverse Effect Pathway ER Binding Altered Protein Expression Altered Protein Expression Sex Reversal, Altered Behavior, ↓Repro. Sex Reversal, Altered Behavior, ↓Repro. Skewed Sex Ratios, ↓Year Class Skewed Sex Ratios, ↓Year Class MOLECULAR Initiating Event CELLULAR Response TISSUE/ORGAN Response INDIVIDUAL Response POPULATION Response Altered proteins Ova-testis Altered proteins Ova-testis MOLECULAR Initiating Event CELLULAR Response TISSUE/ORGAN Response INDIVIDUAL Response AChE Binding Altered Intra- cellular Signaling Altered Intra- cellular Signaling Brain: Loss of synaptic connect. Brain: Loss of synaptic connect. Behavior: Impaired cognitive function Behavior: Impaired cognitive function Altered Cell Structure CELLULAR Response Adverse Effect Pathway of Developmental Neurotoxicity in Humans

C HALLENGES OF THE A DVERSE E FFECT P ATHWAYS Challenges of the Adverse Effect Pathways  Complexity  Multidisciplinary  Lack of unified pathway representation language  Accessibility to the scientific community and the public

E XISTING S OLUTIONS Existing Solutions  System biology models advantages o Systematic description of the complex interactions in biological systems o Integrate and analyze complex data from multiple experimental sources  System biology models disadvantages o Exhaustive complexity not focused by the subject of study o Focus on molecular level o Investigating the continuous uncompensated dysfunction  ToxRefDB o Collection of endpoints  ToxCast o Collection of in-vitro cellular assays

 First Rule of QSAR: Select well defined Endpoint  Model different mechanisms/modes of action separately  Separate chemical models from biological effects  Use transparent mechanistically interpretable methods  Use good quality data QSAR MODELS AND A DVERSE E FFECT P ATHWAYS QSAR models and Adverse Effect Pathways Inspiring the Next Generation QSAR Models, based on classic rules Inspiring the Next Generation QSAR Models, based on classic rules

THE ONLINE ENCYCLOPEDIA OF ADVERSE EFFECT PATHWAYS

E FECTOPEDIA. QSARI. ORG Effectopedia – Adverse Effect Pathways Representation System  Simple enough to make it manageable, complex enough to be useful  Build the pathways from both ends  Brake the complexity with simple questions  Provide organized slots and global context for integrating individual experts knowledge  Create efficient way of expert collaboration  Create open standard for pathway presentation  Make all data freely accessible online

P ATHWAY B UILDING B LOCKS Use Simple Building Blocks Cause Link Effect  Chemical  Molecular Initiating Event  Effect  Molecular Initiating Event  Effect  Endpoint  Threshold  Dose-Response  Reversible or not  Specific or not  Duration

Coordinates in Pathway Space Effect: … male adult human Liver … Effect: … male adult human Liver … Level of Biological Organization Taxonomy Gender Life Stage

E FECTOPEDIA. QSARI. ORG Start form both ends Chemical Endpoint MIE 1 MIE 2 MIE n Effect 1 Effect 2 Effect n1 Effect 1 Effect 2 Effect n1 Effect 1 Effect 2 Effect n1 Effect 1 Effect 2 Effect n

E FECTOPEDIA. QSARI. ORG Breaking Complexity with simple Questions Effect Effect 1 What Other Downstream effects you know? Effect 2

E FECTOPEDIA. QSARI. ORG Breaking Complexity with simple Questions Effect Cause 1 What other causes you know can lead to this effect? Cause 2

E FFECTOPEDIA. QSARI. ORG Dysfunction Duration as a Cause Effect Endpoint 1 Endpoint 1 Endpoint 2 Endpoint 2 Link conditions: Duration 1 Link conditions: Duration 1 Link conditions: Duration 2 Link conditions: Duration 2

E FFECTOPEDIA. QSARI. ORG Demo

F REE, P LATFORM I NDEPENDENT, O PEN S OURCE Technology  Based entirely on open source platform independent solutions  Accessible with standard web browser  Creates search engine optimized static HTML pages for higher visibility  Standard XML based language for direct data import / export  Modular, Plug-in architecture  Open source

C ONCLUSIONS Benefits  QSAR models can be used for what they are good for – predicting molecular initiating events and identifying chemicals with similar behavior without additional animal testing  Provide a global context and new applications of existing experimental data  Create public knowledge repository that stimulate research and modeling efforts  Outline the most frequently used tests in regulatory decision making process to facilitate the search for alternative methods.  Help indentify missing information and facilitate experiment design.  Create focused and effective discussion environment