Look for other standards: - BioPAX (composition) - CellML (aggregation) - Other SBML L3 extensions (modules - rule-based modeling)

Slides:



Advertisements
Similar presentations
Andrea Maurino Web Service Design Methodology Batini, De Paoli, Maurino, Grega, Comerio WP2-WP3 Roma 24/11/2005.
Advertisements

PENN S TATE Compatible text, visual and mathematical representations for biological process ontologies Nigam Shah Penn State University.
IEEE SA IEEE LTSC. Standards for Learning Technology Reference Model for Resource Aggregation for Learning, Education and Training Service Interface for.
Pathway Knowledge Base: A Public Repository for Searching Biological Pathways Nikesh Kotecha 1, Kyle Bruck 1, William Lu 1 and Nigam Shah 1 1 Department.
Modeling, visualizing, and annotating immunoreceptor signaling systems Lily Chylek Cornell University & Los Alamos National Laboratory.
CellDesigner Tutorial Laurence Calzone, Andrei Zinovyev UMR U900 INSERM/Institut Curie/Ecole des Mines de Paris Wednesday, April 30th.
Unified Modeling Language
BiNoM Tutorial Andrei Zinovyev, Laurence Calzone UMR U900 INSERM/Institut Curie/Ecole des Mines de Paris Wednesday, April 30th.
10-Jun-15Anatoly Sorokin Existing Standards in Systems Biology Anatoly Sorokin Computation Systems Biology Group University of Edinburgh.
Gene Ontology Luis Tari. Gene Ontology (GO) URL: Gene Ontology is A hierarchy of roles of genes.
BioNetGen: a system for modeling the dynamics of protein-protein interactions Bill Hlavacek Theoretical Biology and Biophysics Group Los Alamos National.
Use of Ontologies in the Life Sciences: BioPax Graciela Gonzalez, PhD (some slides adapted from presentations available at
Chapter 3 (part 2) – Protein Function. Test Your Knowledge (True/False) All proteins bind to other molecules. Explain. What sort chemical interactions.
1 Energy and Metabolism Chapter 8. 2 Outline Flow of Energy in Living Things Laws of Thermodynamics Free Energy Activation Energy Enzymes – Forms – Activity.
Internet tools for genomic analysis: part 2
Class Projects. Future Work and Possible Project Topic in Gene Regulatory network Learning from multiple data sources; Learning causality in Motifs; Learning.
Session outline 1.Standards and the problem of data integration Example: PSICQUIC and the PSICQUIC game 2.Introduction to ontologies. Exploring the Gene.
Biomolecules: Nucleic Acids and Proteins
Macromolecules - Proteins
Name the following molecules and answer the questions What is this molecule? What kind of bond forms between its atoms? What kind of bond forms between.
Cell Biology for Clinical Pharmacy Students MD102 Module II: Cell Functions (Lecture # 8 ) Dr. Ahmed Sherif Attia
CADLIVE GRAPHICAL NOTATION
Chapter 2.3 Carbon Compounds.
Copyright OpenHelix. No use or reproduction without express written consent1.
2.3 Carbon-Based Molecules LEQ: What is the relationship between proteins and nucleic acids? Reading: 32.1, 2.3; Quiz tuesday; test next monday Activator:
Unified Modeling Language, Version 2.0
Needs to be described: Objects – Have multiple states – Consist of other objects, that may have multiple states – May be connected with each other via.
Importance, Characteristics, Structure, Classification, Denaturation.
BioPAX - Biological Pathway Data Exchange Format Tutorial Nadia Anwar BioPAX Workshop November 2009.
Semantic Web for Life Sciences Workshop Session VII: Semantic Aggregation, Integration, and Inference Moderator: Joanne Luciano October, Cambridge,
PHC 222 Medicinal Chemistry-1- Part(I) Dr. Huda Al Salem Lecture (1)
BIological NetwOrk Manager Cytoscape plugin Andrei Zinovyev Institut Curie/INSERM/Ecole de Mines, UMR 900 “Computational Systems Biology of Cancer”
Foundations of Biochemistry Doba Jackson, Ph.D. Dept. of Chemistry & Biochemistry Huntingdon College.
The Branches of Chemistry. Organic Chemistry This is the study of most carbon compounds. We also look at hydrogen, oxygen, and nitrogen with the carbon.
1 Two Applications of Information Extraction to Biological Science Journal Articles: Enzyme Interactions and Protein Structures Kevin Humphreys, George.
Nanochemistry NAN 601 Dr. Marinella Sandros
A curated database of biological pathways.
Systems Biology Markup Language Ranjit Randhawa Department of Computer Science Virginia Tech.
Unit 3: Bioenergetics Honors Biology Monkemeier
1 Energy and Metabolism Chapter 8. 2 Outline Flow of Energy in Living Things Laws of Thermodynamics Free Energy Activation Energy Enzymes – Forms – Activity.
BioPAX The Birth of A Data Exchange Language for Biological Pathways Joanne Luciano BioPAX Group 7 th International Annual Bio-Ontologies.
CARBON COMPOUNDS CHAPTER 2, SECTION 3. CARBON is the principle element in the large molecules that organisms make and use ORGANIC compounds contain carbon.
Phospholipids are a class of lipids and are a major component of all biological membranes. They produce tiny pores which can allow simple diffusion and.
Modeling and Simulation of Signal Transduction Pathways Mark Moeller & Björn Oleson Supervisors: Klaus Prank Ralf Hofestädt.
Enzymes. Enzymes-definition  Act as catalysts, lowering activation energy needed for reactions-speed up reaction.  Substrate binds to enzyme’s active.
PROTEINS.
Overview  Introduction  Biological network data  Text mining  Gene Ontology  Expression data basics  Expression, text mining, and GO  Modules and.
Gene Ontology TM (GO) Consortium
2/3/2005 Gene Ontology (GO) The Gene Ontology (GO) project is a collaborative effort to address the need for consistent descriptions.
Signaling Pathways Ligands, Receptors, Binding, and Cascades Naralys Batista January 7, Funding for this workshop was provided by the program “Computational.
BiNoM: a Cytoscape plugin for using and analyzing biological networks Andrei Zinovyev, Eric Viara, Laurence Calzone, Emmanuel Barillot Institut Curie /
C HAPTER 6 O VERVIEW By: Nicolas Huizar Authors: Nicolas Huizar, Jeffery Porter, Patrick Davis, Tyler Gomez.
Proteins.
CHM 708: MEDICINAL CHEMISTRY
Systems Biology Markup Language (SBML)
Ministry of Economic Development and Innovation
Networks and Pathways I
PROTEINS INTRODUCTION.
The Pathway Tools Schema
Knowledge Management Systems
Lesson 2.4: Chemical Reactions & Enzymes
You will be given the answer. You must give the correct question.
Central Dogma Translation
Note the effect of cooperativity in the example below.
Volume 20, Issue 5, Pages (May 2013)
Interface and Complexity
o They are mainly proteins o They are biological catalysts that speed up the rate of the biochemical reaction.
Presentation transcript:

Look for other standards: - BioPAX (composition) - CellML (aggregation) - Other SBML L3 extensions (modules - rule-based modeling)

Unique classification and identification of model elements Different types of species: proteins, small molecules, complexes. Different types of reactions: biochemical reaction, complex assembly User-specified grouping: ligand- binding module, Grb2 interactions

Structure consistent with BioPAX ontology BioPax stands for Biological PAthway eXchange Interaction ControlConversion Catalysis Biochemical Reaction Complex Assembly Modulation Transport TransportWith BiochemicalReaction Physical Entity Complex RNA Protein Small Molecule

<species compartment="R_7660" id="REACT_4932_2" metaid="metaid_ " name="REACT_4932_2_Cyclin_A_Cdk2_complex"> <rdf:RDF xmlns:bqbiol=" xmlns:bqmodel=" xmlns:dc=" xmlns:dcterms=" xmlns:rdf=" xmlns:vCard=" Fictional species. Relationships, e.g. has a component, isVersionOf

dEGF/dt = -v1 dR/dt = -v1 dRa/dt = v1

reaction rules = modules begin reaction rules A(b) + B(a) A(b!1).B(a!1) kp1,km1 end reaction rules A B b a + A B a bond between two components molecule types = interfaces begin molecule types A(b, b1, b2, …) B(a, a1, a2, …) end molecule types A B b a b1 a1