Abstract

AbstractSemantic annotations in SBML (systems biology markup language) enable computer programs to check and process biochemical models based on their biochemical meaning. Annotations are an important prerequisite for model merging, which would be a major step towards the construction of large-scale cell models. The software tool semanticSBML allows users to check and edit MIRIAM annotations and SBO terms, the most common forms of annotation in SBML models. It uses a large collection of biochemical names and database identifiers to support modellers in finding the right annotations. Annotated SBML models can also be built from lists of chemical reactions. In model merging, semanticSBML suggests a preliminary merged model based on MIRIAM annotations in the original models. This model provides a starting point for manually aligning the elements of all input models. To resolve conflicting element properties, conflicts are highlighted and categorised. The user can navigate through the models, change the matching of model elements, check the conflicts between them and decide how they should be resolved. Alternatively, the software can resolve all conflicts automatically, selecting each time the attribute value from the input model with highest priority.URL: "http://www.semanticsbml.org/":http://www.semanticsbml.org/

Highlights

  • MIRIAM-compliant annotationsMerging of cell models is one of the main future challenges in systems biology

  • A central task in model merging is the matching of individual model elements: to allow for automatic comparisons, the biological meaning of model elements has to be specified by computer-readable annotations

  • Our tool semanticSBML7,8 assists the user in annotating, checking, and merging of SBML models

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Summary

Introduction

Merging of cell models is one of the main future challenges in systems biology. Many structural and dynamic models are available in the XML-derived exchange format SBML1 and stored in model databases like BioModels.net[2]. Computer-assisted merging of such models would considerably facilitate building of largescale models. A central task in model merging is the matching of individual model elements: to allow for automatic comparisons, the biological meaning of model elements has to be specified by computer-readable annotations. Our tool semanticSBML7,8 assists the user in annotating, checking, and merging of SBML models. It allows to create SBML models directly from lists of biochemical reactions (specified, for instance, by KEGG3 IDs). For comparison of model elements, the program relies on semantic anno-tations in a standard format (MIRIAM4compliant RDF annotations with bioqualifiers[5]). SemanticSBML is free software developed under the GNU public license and can be downloaded and used online at www.semanticsbml.org

Biochemical models in SBML format
Merged SBML file
Model annotation
Model checking
Model merging
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