SBML (the Systems Biology Markup Language), BioModels Database, and related resources
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The document provides an overview of the Systems Biology Markup Language (SBML), its goals for reproducible and reusable models, and its capabilities for representing quantitative models in a software-independent format. It highlights the evolution of SBML, including various levels and packages, and discusses the ecosystem of software tools and resources that support SBML. Additionally, the Biomodels Database is introduced as a curated repository of quantitative biological models that aid in research collaboration.
![Basic SBML concepts are simple
The reaction is central: a process occurring at a given rate
• Participants are pools of entities (species)
f ([A],[B],[P ],...)
na A + nb B − − − − − − → np P
−−−−−−
f (...)
nc C −−
−→ nd D + ne E + nf F
.
.
.
Models can further include:
• Other constants & variables • Unit definitions
• Compartments • Annotations
• Explicit math
• Discontinuous events
Friday, July 15, 2011 10](https://image.slidesharecdn.com/mhucka-comp-cell-bio-cshl-2011-07-15slides-120706233233-phpapp02/85/SBML-the-Systems-Biology-Markup-Language-BioModels-Database-and-related-resources-9-320.jpg)
![Basic SBML concepts are simple
The reaction is central: a process occurring at a given rate
• Participants are pools of entities (species) Can be anything
conceptually
f ([A],[B],[P ],...)
na A + nb B − − − − − − → np P
−−−−−− compatible
f (...)
nc C −−
−→ nd D + ne E + nf F
.
.
.
Models can further include:
• Other constants & variables • Unit definitions
• Compartments • Annotations
• Explicit math
• Discontinuous events
Friday, July 15, 2011 10](https://image.slidesharecdn.com/mhucka-comp-cell-bio-cshl-2011-07-15slides-120706233233-phpapp02/85/SBML-the-Systems-Biology-Markup-Language-BioModels-Database-and-related-resources-10-320.jpg)
SBML (the Systems Biology Markup Language), BioModels Database, and related resources
- 1. SBML (the Systems Biology Markup Language), BioModels Database, and related resources Michael Hucka, Ph.D. (On behalf of many people) California Institute of Technology Pasadena, California, USA Friday, July 15, 2011 2
- 2. Background and context Overview of SBML Survey of some software resources for SBML Related efforts Acknowledgements Roadmap Friday, July 15, 2011 3
- 3. Background and context Overview of SBML Survey of some software resources for SBML Related efforts Acknowledgements Roadmap Friday, July 15, 2011 4
- 4. Must weave solutions using different methods & tools Friday, July 15, 2011 5
- 5. Need effective sharing of models Not enough simply to publish lists of equations! Need a software-independent format • No single package answers all needs • New techniques ( new tools) are developed continuously • Different packages have different niche strengths - Strengths are often complementary Need to capture both • Mathematical content of a model • Semantic content of a model Friday, July 15, 2011 6
- 6. Goal: reproducible and reusable models and simulations Friday, July 15, 2011 7
- 7. Background and context Overview of SBML Survey of some software resources for SBML Related efforts Acknowledgements Roadmap Friday, July 15, 2011 8
- 8. SBML = Systems Biology Markup Language Format for representing quantitative models • Defines object model + rules for its use - Serialized to XML Neutral with respect to modeling framework • ODE vs. stochastic vs. ... A lingua franca for software • Not procedural Friday, July 15, 2011 9
- 9. Basic SBML concepts are simple The reaction is central: a process occurring at a given rate • Participants are pools of entities (species) f ([A],[B],[P ],...) na A + nb B − − − − − − → np P −−−−−− f (...) nc C −− −→ nd D + ne E + nf F . . . Models can further include: • Other constants & variables • Unit definitions • Compartments • Annotations • Explicit math • Discontinuous events Friday, July 15, 2011 10
- 10. Basic SBML concepts are simple The reaction is central: a process occurring at a given rate • Participants are pools of entities (species) Can be anything conceptually f ([A],[B],[P ],...) na A + nb B − − − − − − → np P −−−−−− compatible f (...) nc C −− −→ nd D + ne E + nf F . . . Models can further include: • Other constants & variables • Unit definitions • Compartments • Annotations • Explicit math • Discontinuous events Friday, July 15, 2011 10
- 11. Some basics of SBML core model encoding ๏ Well-stirred compartments c n Friday, July 15, 2011 11
- 12. Some basics of SBML core model encoding c protein A protein B n gene mRNAn mRNAc Friday, July 15, 2011 12
- 13. Some basics of SBML core model encoding ๏ Reactions can involve any species anywhere c protein A protein B n gene mRNAn mRNAc Friday, July 15, 2011 13
- 14. Some basics of SBML core model encoding ๏ Reactions can cross compartment boundaries c protein A protein B n gene mRNAn mRNAc Friday, July 15, 2011 14
- 15. Some basics of SBML core model encoding ๏ Reaction/process rates can be (almost) arbitrary formulas c protein A f1(x) protein B n f5(x) f2(x) gene f4(x) mRNAn f3(x) mRNAc Friday, July 15, 2011 15
- 16. Some basics of SBML core model encoding ๏ “Rules”: equations expressing relationships in addition to reaction sys. g1(x) c g2(x) protein A f1(x) protein B . . . n f5(x) f2(x) gene f4(x) mRNAn f3(x) mRNAc Friday, July 15, 2011 16
- 17. Some basics of SBML core model encoding ๏ “Events”: discontinuous actions triggered by system conditions g1(x) c g2(x) protein A f1(x) protein B . . . n f5(x) f2(x) gene f4(x) mRNAn f3(x) mRNAc Event1: when (...condition...), Event2: when (...condition...), ... do (...assignments...) do (...assignments...) Friday, July 15, 2011 17
- 18. Some basics of SBML core model encoding “This is identified by “This is an enzymatic c g1(x) GO id # ...” reaction with EC # ...” g2(x) . protein A f1(x) protein B . “This is a transport . n into the nucleus ...” “This compartment represents the nucleus ...” f5(x) f2(x) gene f4(x) mRNAn f3(x) mRNAc “This event represents ...” Event1: when (...condition...), Event2: when (...condition...), ... do (...assignments...) do (...assignments...) Friday, July 15, 2011 18
- 19. Signaling pathway models Fernandez et al. (2006) DARPP-32 Is a Robust Integrator of Dopamine and Glutamate Signals PLoS Computational Biology BioModels Database model #BIOMD0000000153 Scope of SBML is not limited to one kind of model Friday, July 15, 2011 19
- 20. Signaling pathway models Hodgkin & Huxley (1952) A quantitative description of Conductance-based models membrane current and its • application to conduction and “Rate rules” for temporal evolution excitation in nerve of quantitative parameters J. Physiology 117:500–544 BioModels Database model #BIOMD0000000020 Scope of SBML is not limited to one kind of model Friday, July 15, 2011 20
- 21. Signaling pathway models Izhikevich EM. (2003) Simple model of spiking neurons. Conductance-based models IEEE Trans Neural Net. • “Rate rules” for temporal evolution of quantitative parameters BioModels Database model #BIOMD0000000127 Neural models • “Events” for discontinuous changes in quantitative parameters Scope of SBML is not limited to one kind of model Friday, July 15, 2011 21
- 22. Signaling pathway models Tham et al. (2008) A pharmacodynamic model for Conductance-based models the time course of tumor shrinkage by gemcitabine + • “Rate rules” for temporal evolution of quantitative parameters carboplatin in non-small cell lung cancer patients Clin. Cancer Res. 14 Neural models BioModels Database model • “Events” for discontinuous changes in quantitative parameters #BIOMD0000000234 Pharmacokinetic/dynamics models • “Species” is not required to be a biochemical entity Scope of SBML is not limited to one kind of model Friday, July 15, 2011 22
- 23. Signaling pathway models Munz et al. (2009 ) Conductance-based models When zombies attack!: Mathematical modelling of an • “Rate rules” for temporal evolution of quantitative parameters outbreak of zombie infection Infectious Disease Modelling Research Progress, eds. Tchuenche et al., p. 133–150 Neural models • “Events” for discontinuous changes in quantitative parameters BioModels Database model #MODEL1008060001 Pharmacokinetic/dynamics models • “Species” is not required to be a biochemical entity Infectious diseases Scope of SBML is not limited to one kind of model Friday, July 15, 2011 23
- 24. Number of software systems supporting SBML 300 229 as of July 14 ↓ 200 100 0 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 (counted in middle of each year) Friday, July 15, 2011 24
- 25. What are SBML “Levels”? Specification document available from http://sbml.org/Documents Newest: Level 3 Version 1 Core • Oct. 2010 About SBML “Levels”: • Levels help manage significant restructuring of SBML architecture • Levels coexist - E.g., Level 2 models will remain valid and exist for a long time • A Level is not solely a vertical change (i.e., more features)—there is horizontal change too (i.e., changes to existing elements) Friday, July 15, 2011 25
- 26. SBML continues to evolve Friday, July 15, 2011 26
- 27. SBML Level 3—A modular SBML Package Z Package X Package Y SBML Level 3 Core A package adds constructs & capabilities Models declare which packages they use • Applications tell users which packages they support Package development can be decoupled Friday, July 15, 2011 27
- 28. Package Specification status Graph layout Level 3 version defined; in review Multicomponent species Level 3 version defined; in review Hierarchical composition Level 3 specification under discussion Groups Level 3 specification under discussion Qualitative models Level 3 specification under discussion Spatial geometry Level 3 specification under discussion Arrays & sets Specification proposed Distribution & ranges Specification proposed Steady-state models Specification proposed Graph rendering Specification proposed Spatial diffusion Specification needed Dynamic structures Specification needed Friday, July 15, 2011 28
- 29. Package Specification status Graph layout Level 3 version defined; in review Multicomponent species Level 3 version species to represent: Extends SBML defined; in review • Entities that can exist under Hierarchical composition Level 3 specification under discussion different states affecting their Groups behaviors Level 3 specification under discussion • Entities that are complexes of Qualitative models Level 3 specification under discussion other entities Spatial geometry Level 3 specification under discussion Arrays & sets Specification proposed Distribution & ranges Specification proposed Steady-state models Specification proposed Graph rendering Specification proposed Spatial diffusion Specification needed Dynamic structures Specification needed Friday, July 15, 2011 28
- 30. Package Specification status Graph layout Level 3 version defined; in review Multicomponent species Level 3 version defined; in review Hierarchical composition Models composed of submodels Level 3 specification under discussion Groups Level 3 specification under discussion Qualitative models Level 3 specification under discussion Spatial geometry Level 3 specification under discussion Arrays & sets Specification proposed Distribution & ranges Specification proposed Steady-state models Specification proposed Graph rendering Specification proposed Spatial diffusion Specification needed Dynamic structures Specification needed Friday, July 15, 2011 28
- 31. Package Specification status Graph layout Level 3 version defined; in review Multicomponent species Level 3 version defined; in review Hierarchical composition Level 3 specification under discussion Grouping model entities together, Groups Level 3 specification under discussion for conceptual and annotation Qualitative models Level 3 specification under discussion purposes Spatial geometry Level 3 specification under discussion Arrays & sets Specification proposed Distribution & ranges Specification proposed Steady-state models Specification proposed Graph rendering Specification proposed Spatial diffusion Specification needed Dynamic structures Specification needed Friday, July 15, 2011 28
- 32. Package Specification status Graph layout Level 3 version defined; in review Multicomponent species Level 3 version defined; in review Hierarchical composition Level 3 specification under discussion Groups Level 3 specification under discussion Models in which entity variables are Qualitative models Levelquantities; e.g., boolean models not 3 specification under discussion Spatial geometry Level 3 specification under discussion Arrays & sets Specification proposed Distribution & ranges Specification proposed Steady-state models Specification proposed Graph rendering Specification proposed Spatial diffusion Specification needed Dynamic structures Specification needed Friday, July 15, 2011 28
- 33. Package Specification status Graph layout Level 3 version defined; in review Multicomponent species Level 3 version defined; in review Hierarchical composition Level 3 specification under discussion Groups Level 3 specification under discussion Qualitative models Level 3 specification under discussion 2-D and 3-D geometry of physical Spatial geometry Level 3 specification under discussion objects (compartments & species) Arrays & sets Specification proposed Distribution & ranges Specification proposed Steady-state models Specification proposed Graph rendering Specification proposed Spatial diffusion Specification needed Dynamic structures Specification needed Friday, July 15, 2011 28
- 34. Example: Hierarchical Model Composition Current SBML Model “A” Compartments ... Species ... Parameters ... Reactions ... Friday, July 15, 2011 29
- 35. Example: Hierarchical Model Composition Current SBML With model composition Model “A” Model “A” Compartments ... Compartments ... Species ... Species ... Parameters ... Parameters ... Reactions ... Reactions ... Model “B” Model “C” Compartments ... Compartments ... Species ... Species ... Parameters ... Parameters ... Reactions ... Reactions ... Friday, July 15, 2011 29
- 36. More scenarios Model “A” Compartments ... Species ... Parameters ... Reactions ... Model “B” Model “B” Model “B” Compartments ... Compartments ... Compartments ... Species ... Species ... Species ... Parameters ... Parameters ... Parameters ... ... Reactions ... Reactions ... Reactions ... Friday, July 15, 2011 30
- 37. More scenarios Model “A” Compartments ... Species ... Parameters ... Reactions ... Model “B” Model “C” Compartments ... Compartments ... Model “D” Species ... Species ... Compartments ... Parameters ... Parameters ... Species ... Reactions ... Reactions ... Parameters ... Reactions ... Friday, July 15, 2011 31
- 38. More scenarios Separate files/resources Model “A” Compartments ... Model “B” Species ... Compartments ... Parameters ... Species ... Model “C” Reactions ... Parameters ... Compartments ... Reactions ... Species ... Model “B” Parameters ... Model “C” Reactions ... Model “D” Model “D” Compartments ... Think: Species ... libraries of Parameters ... well-tested Reactions ... models Friday, July 15, 2011 32
- 39. Links/references/replacements Model “outer” Model “inner” S1 S2 Compartment “c” X1 X2 Compartment “q” Friday, July 15, 2011 33
- 40. Links/references/replacements Model “outer” Model “inner” S1 S2 Compartment “c” X1 X2 Compartment “q” Implied model Model “outer” S1 S2 inner/X2 Compartment “c” Friday, July 15, 2011 33
- 41. Background and context Overview of SBML Survey of some software resources for SBML Related efforts Acknowledgements Roadmap Friday, July 15, 2011 34
- 42. SBML.org Friday, July 15, 2011 35
- 43. SBML Software Guide Friday, July 15, 2011 36
- 44. SBML Software Guide Find SBML software Friday, July 15, 2011 36
- 45. SBML Software Guide Friday, July 15, 2011 37
- 46. Some particularly full-featured, general simulation tools COPASI: ODE & stochastic simulation, parameter scanning, powerful plotting capabilities, much more CellDesigner: graphical editing interface, SBGN support, SABIO-RK integration, much more iBioSim: special features for genetic circuit models for synthetic biology Virtual Cell: web-based interface roadRunner & SBW: .NET support, many tools in toolkit Friday, July 15, 2011 38
- 47. Online SBML Validator Friday, July 15, 2011 39
- 48. Online SBML Validator Friday, July 15, 2011 39
- 49. Online SBML Validator Friday, July 15, 2011 40
- 50. Online SBML Validator Validate SBML files Friday, July 15, 2011 40
- 51. (demo) (Demo) Friday, July 15, 2011 41
- 52. How to keep in touch Friday, July 15, 2011 42
- 53. How to keep in touch Front-page news Friday, July 15, 2011 42
- 54. Twitter & RSS feeds How to keep in touch Friday, July 15, 2011 42
- 55. How to keep in touch Mailing lists/forums Friday, July 15, 2011 42
- 56. Suggest subscribing to sbml-announce (it’s very low volume) SBML mailing lists & online forum interface Friday, July 15, 2011 43
- 57. Software API libraries: libSBML & JSBML Friday, July 15, 2011 44
- 58. libSBML ๏ Reads, writes, validates SBML Latest stable version: 5.0.0 • Hundreds of rules for helping http://sbml.org/Software/libSBML to ensure correct SBML ๏ Unit checking & conversion ๏ Well-tested ๏ Written in portable C++ • Linux, Mac, Windows, FreeBSD ๏ APIs for C, C++, C#, Java, Octave, Perl, Python, Ruby, MATLAB (some via SWIG) ๏ Developed by Sarah Keating, ๏ Can use Expat, libxml2, or Frank Bergman, Ben Bornstein, Xerces Akiya Jouraku, & Mike Hucka, with substantial contributions ๏ Open-source under LGPL from many other people Friday, July 15, 2011 45
- 59. JSBML Pure Java implementation API is highly compatible with libSBML • Functionality is subset of libSBML functionality Under active development • Already in use in apps • Help welcome! Main developers: Andreas Dräger & Nicolas Rodriguez Friday, July 15, 2011 46
- 60. BioModels Database Friday, July 15, 2011 47
- 62. Features of BioModels Database Stores & serves quantitative models of biological interest • Free, public resource • Models must be described in peer-reviewed publication(s) All models are curated by hand to reproduce published results Imports & exports models in several formats • SBML, CellML, SciLab, XPP, BioPAX Developed by Nicolas Le Novère’s group (EBI), funded by EBI & NIH Today: 600+ models Friday, July 15, 2011 49
- 63. (demo) Friday, July 15, 2011 50
- 64. Background and context Overview of SBML Survey of some software resources for SBML Related efforts Acknowledgements Roadmap Friday, July 15, 2011 51
- 65. Growing community, greater challenges Friday, July 15, 2011 52
- 66. Model Procedures Results Representation format SBRML Minimal info ? requirements Semantics— Mathematical Other annotations annotations annotations Friday, July 15, 2011 53
- 67. Model Procedures Results Representation format SBRML Minimal info ? requirements Semantics— Mathematical Other annotations annotations annotations Friday, July 15, 2011 53
- 68. Annotations add semantics and connections Annotations can answer questions: • “What exactly is this entity you call X?” • “What other identities does this entity have?” • “What exactly is the process represented by equation ‘e17’?” • “What role does constant ‘k3’ play in equation ‘e17’?” • “What mathematical framework is being assumed?” • “What organism is this in?” • ... etc. ... Multiple annotations on same entity are common Friday, July 15, 2011 54
- 69. Systems Biology Ontology (SBO) For semantics of a model’s math Human- & program-accessible • Browser interface • Web services Math formulas in MathML Friday, July 15, 2011 55
- 70. Systems Biology Ontology (SBO) For semantics of a model’s math Human- & program-accessible • Browser interface • Web services Math formulas in MathML Friday, July 15, 2011 55
- 71. Systems Biology Ontology (SBO) For semantics of a model’s math Human- & program-accessible • Browser interface • Web services Math formulas in MathML Friday, July 15, 2011 55
- 72. <sbml ...> ... <listOfCompartments> <compartment id="cell" size="1e-15" /> </listOfCompartments> <listOfSpecies> <species compartment="cell" id="S1" initialAmount="1000" /> <species compartment="cell" id="S2" initialAmount="0" /> <listOfSpecies> <listOfParameters> <parameter id="k" value="0.005" sboTerm="SBO:0000339" /> <listOfParameters> <listOfReactions> <reaction id="r1" reversible="false"> <listOfReactants> <speciesReference species="S1" stoichiometry="2" sboTerm="SBO:0000010" /> </listOfReactants> <listOfProducts> <speciesReference species="S1" stoichiometry="2" sboTerm="SBO:0000011" /> </listOfProducts> <kineticLaw sboTerm="SBO:0000052"> <math> ... <math> ... </sbml> Friday, July 15, 2011 56
- 73. <sbml ...> ... <listOfCompartments> <compartment id="cell" size="1e-15" /> </listOfCompartments> <listOfSpecies> <species compartment="cell" id="S1" initialAmount="1000" /> <species compartment="cell" id="S2" initialAmount="0" /> <listOfSpecies> <listOfParameters> <parameter id="k" value="0.005" sboTerm="SBO:0000339" /> SBO:0000339 <listOfParameters> <listOfReactions> <reaction id="r1" reversible="false"> <listOfReactants> <speciesReference species="S1" stoichiometry="2" sboTerm="SBO:0000010" /> </listOfReactants> <listOfProducts> <speciesReference species="S1" stoichiometry="2" sboTerm="SBO:0000011" /> </listOfProducts> <kineticLaw sboTerm="SBO:0000052"> <math> ... <math> ... </sbml> Friday, July 15, 2011 56
- 74. <sbml ...> ... <listOfCompartments> <compartment id="cell" size="1e-15" /> </listOfCompartments> <listOfSpecies> <species compartment="cell" id="S1" initialAmount="1000" /> <species compartment="cell" id="S2" initialAmount="0" /> <listOfSpecies> <listOfParameters> <parameter id="k" value="0.005" sboTerm="SBO:0000339" /> SBO:0000339 <listOfParameters> <listOfReactions> <reaction id="r1" reversible="false"> <listOfReactants> <speciesReference species="S1" stoichiometry="2" sboTerm="SBO:0000010" /> </listOfReactants> <listOfProducts> <speciesReference species="S1" stoichiometry="2" sboTerm="SBO:0000011" /> </listOfProducts> <kineticLaw sboTerm="SBO:0000052"> <math> ... <math> ... </sbml> “forward bimolecular rate constant, continuous case” Friday, July 15, 2011 56
- 75. What is MIRIAM? MIRIAM = “Minimum Information Requested In the Annotation of Models” Addresses 2 general areas Requirements for reference Scheme for encoding correspondence annotations Annotations for Annotations for attributing model referring to external creators & sources data resources MIRIAM is not specific to SBML Friday, July 15, 2011 57
- 76. What is MIRIAM? MIRIAM = “Minimum Information Requested In the Annotation of Models” Addresses 2 general areas Requirements for reference Scheme for encoding correspondence annotations Annotations for Annotations for attributing model referring to external creators & sources data resources MIRIAM is not specific to SBML Friday, July 15, 2011 57
- 77. Model Entity element referenced relationship qualifier (optional) MIRIAM cross-references are simple triples { Data type identifier Data item identifier Annotation qualifier } (Required) (Required) (Optional) Format: URI chosen from Syntax & value space Controlled agreed-upon list depends on data type vocabulary term Friday, July 15, 2011 58
- 78. Why worry about standard ways of writing annotations? Structured, machine-readable annotations increase your model’s utility • Allow more precise identification of model components - Understand model structure - Compare models - Integrate models - Search models • Adds a semantic layer—integrates knowledge into the model - Understand the underlying biology - Reuse models - Convert models to other forms Friday, July 15, 2011 59
- 79. Annotations permit inter-database linking Friday, July 15, 2011 60
- 80. Annotations permit inter-database linking Friday, July 15, 2011 60
- 81. SBML defines a syntax for annotations <species metaid="metaid_0000009" id="species_3" compartment="c_1"> <annotation> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bqbiol="http://biomodels.net/biology-qualifiers/" > <rdf:Description rdf:about="#metaid_0000009"> <bqbiol:is> <rdf:Bag> <rdf:li rdf:resource="urn:miriam:obo.chebi:CHEBI%3A15996"/> <rdf:li rdf:resource="urn:miriam:kegg.compound:C00044"/> </rdf:Bag> </bqbiol:is> </rdf:Description> </rdf:RDF> </annotation> </species> Friday, July 15, 2011 61
- 82. SBML defines a syntax for annotations <species metaid="metaid_0000009" id="species_3" compartment="c_1"> <annotation> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bqbiol="http://biomodels.net/biology-qualifiers/" > <rdf:Description rdf:about="#metaid_0000009"> <bqbiol:is> Data references <rdf:Bag> <rdf:li rdf:resource="urn:miriam:obo.chebi:CHEBI%3A15996"/> <rdf:li rdf:resource="urn:miriam:kegg.compound:C00044"/> </rdf:Bag> </bqbiol:is> </rdf:Description> </rdf:RDF> </annotation> </species> Friday, July 15, 2011 61
- 83. SBML defines a syntax for annotations <species metaid="metaid_0000009" id="species_3" compartment="c_1"> <annotation> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bqbiol="http://biomodels.net/biology-qualifiers/" > <rdf:Description rdf:about="#metaid_0000009"> <bqbiol:is> Relationship qualifier <rdf:Bag> <rdf:li rdf:resource="urn:miriam:obo.chebi:CHEBI%3A15996"/> <rdf:li rdf:resource="urn:miriam:kegg.compound:C00044"/> </rdf:Bag> </bqbiol:is> </rdf:Description> </rdf:RDF> </annotation> </species> Friday, July 15, 2011 61
- 84. “Term #1.1.1.1 (alcohol dehydrogenase) in the Enzyme Commission’s Enzyme Nomenclature database” urn:miriam:ec-code:1.1.1.1 { { URN scheme established Chosen by the creator of the by the MIRIAM project entry in MIRIAM Resources Friday, July 15, 2011 62
- 85. MIRIAM Resources provides URI dictionary & resolver http://www.ebi.ac.uk/miriam Community-maintained Friday, July 15, 2011 63
- 86. MIRIAM Resources provides URI dictionary & resolver http://www.ebi.ac.uk/miriam Community-maintained Friday, July 15, 2011 63
- 87. MIRIAM identifiers now in use by many other projects Data resources Application software • BioModels Database (kinetic models) • ARCADIA • PSI Consortium (protein interaction) • BioUML • Reactome (pathways) • COPASI • Pathway Commons (pathways) • libAnnotationSBML • libSBML • SABIO-RK (reaction kinetics) • Saint • Yeast consensus model database • SBML2BioPAX • E-MeP (structural genomics) • SBML2LaTeX • SBMLeditor • semanticSBML • Snazer • SBW • The Virtual Cell Friday, July 15, 2011 64
- 88. Annotations enable many interesting possibilities http://www.semanticsbml.org Friday, July 15, 2011 65
- 89. Model Procedures Results Representation format SBRML Minimal info ? requirements Semantics— Mathematical Other annotations annotations annotations Friday, July 15, 2011 66
- 90. Model Procedures Results Representation format SBRML Minimal info ? requirements Semantics— Mathematical Other annotations annotations annotations Friday, July 15, 2011 66
- 91. <sbml ...> ... <listOfCompartments> <compartment id="cell" size="1e-15" /> </listOfCompartments> <listOfSpecies> ? <species compartment="cell" id="S1" initialAmount="1000" /> <species compartment="cell" id="S2" initialAmount="0" /> <listOfSpecies> <listOfParameters> <parameter id="k" value="0.005" sboTerm="SBO:0000339" /> <listOfParameters> <listOfReactions> <reaction id="r1" reversible="false"> <listOfReactants> <speciesReference species="S1" stoichiometry="2" sboTerm="SBO:0000010" /> ... SED-ML = Simulation Experiment Description ML Application-independent format Captures procedures, algorithms, parameter values • Steps to go from model to output libSedML project developing API library Friday, July 15, 2011 67
- 92. Background and context Overview of SBML Survey of some software resources for SBML Related efforts Acknowledgements Roadmap Friday, July 15, 2011 68
- 93. People on SBML Team & BioModels Team SBML Team BioModels.net Team Michael Hucka Nicolas Le Novère Sarah Keating Camille Laibe Frank Bergmann Nicolas Rodriguez Lucian Smith Nick Juty Nicolas Rodriguez Vijayalakshmi Chelliah Linda Taddeo Michael Schubert Akiya Joukarou Lukas Endler Akira Funahashi Chen Li Kimberley Begley Harish Dharuri Bruce Shapiro Lu Li Andrew Finney Enuo He Ben Bornstein Mélanie Courtot Ben Kovitz Alexander Broicher Hamid Bolouri Arnaud Henry Herbert Sauro Visionaries Marco Donizelli Jo Matthews Hiroaki Kitano Maria Schilstra John Doyle Friday, July 15, 2011 69
- 94. National Institute of General Medical Sciences (USA) European Molecular Biology Laboratory (EMBL) ELIXIR (UK) Beckman Institute, Caltech (USA) Keio University (Japan) JST ERATO Kitano Symbiotic Systems Project (Japan) (to 2003) National Science Foundation (USA) International Joint Research Program of NEDO (Japan) JST ERATO-SORST Program (Japan) Japanese Ministry of Agriculture Japanese Ministry of Educ., Culture, Sports, Science and Tech. BBSRC (UK) DARPA IPTO Bio-SPICE Bio-Computation Program (USA) Air Force Office of Scientific Research (USA) STRI, University of Hertfordshire (UK) Molecular Sciences Institute (USA) Agencies to thank for supporting SBML & BioModels.net Friday, July 15, 2011 70
- 95. Where to find out more SBML http://sbml.org libSBML & JSBML http://sbml.org/Software BioModels Database http://biomodels.net/biomodels MIRIAM http://biomodels.net/miriam SED-ML http://biomodels.net/sed-ml SBO http://biomodels.net/sbo KiSAO http://www.ebi.ac.uk/compneur-srv/kisao/ TEDDY http://www.ebi.ac.uk/compneur-srv/teddy/ Thank you for listening! Friday, July 15, 2011 71