Abstract

BackgroundConstraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the genome. Recently, genome annotations have been used to reconstruct genome scale metabolic reaction networks for numerous species, including Homo sapiens, which allow simulations that provide valuable insights into topics, including predictions of gene essentiality of pathogens, interpretation of genetic polymorphism in metabolic disease syndromes and suggestions for novel approaches to microbial metabolic engineering. These constraint-based simulations are being integrated with the functional genomics portals, an activity that requires efficient implementation of the constraint-based simulations in the web-based environment.ResultsHere, we present Acorn, an open source (GNU GPL) grid computing system for constraint-based simulations of genome scale metabolic reaction networks within an interactive web environment. The grid-based architecture allows efficient execution of computationally intensive, iterative protocols such as Flux Variability Analysis, which can be readily scaled up as the numbers of models (and users) increase. The web interface uses AJAX, which facilitates efficient model browsing and other search functions, and intuitive implementation of appropriate simulation conditions. Research groups can install Acorn locally and create user accounts. Users can also import models in the familiar SBML format and link reaction formulas to major functional genomics portals of choice. Selected models and simulation results can be shared between different users and made publically available. Users can construct pathway map layouts and import them into the server using a desktop editor integrated within the system. Pathway maps are then used to visualise numerical results within the web environment. To illustrate these features we have deployed Acorn and created a web server allowing constraint based simulations of the genome scale metabolic reaction networks of E. coli, S. cerevisiae and M. tuberculosis.ConclusionsAcorn is a free software package, which can be installed by research groups to create a web based environment for computer simulations of genome scale metabolic reaction networks. It facilitates shared access to models and creation of publicly available constraint based modelling resources.

Highlights

  • Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the genome

  • The range of each individual reaction flux in all flux distributions that are consistent with the maximal objective function value can be exploited by the iterative Linear Programming (LP) protocols, described. This approach is referred to as constraint based [1], because it evaluates metabolic capabilities under the set of constraints expressed by balance equations, known quantitative values of certain fluxes and information about maximal capacity and reversibility of the reactions. The acquisition of this information can be initiared by analysis of the genome sequence of interest, and this approach has been applied to the reconstruction of genome scale metabolic reaction networks (GSMNs) for major model organisms [2,3,4,5], pathogens [6,7,8] and microorganisms used in industrial bioprocesses [9,10]

  • Gene names are linked to gene pages of selected functional genomics resources integrating GSMN model with literature annotations and comparative sequence analysis results

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Summary

Results

Distribution of Acorn can be implemented by downloading from Google Code repository http://code.google. com/p/a-c-o-r-n/. Execution of FVA for the yeast GSMN model containing 1265 reactions takes about 15 minutes of CPU time This computational time can be substantial for web-based applications, especially if multiple users are simultaneously using the server. The gene names in GSMN-TB model are linked to the Tuberculist database, the E. coli model is linked to KEGG database, and the S. cerevisiae model is linked to the SGD database These implementations have demonstrated that the model upload mechanism of Acorn can be used to link reaction lists and results files of GSMN models to major functional genomics resources, facilitating interpretation of computer simulations in the context of the wealth of knowledge and comparative analysis results available within these knowledge bases. The fluxes are obtained by the calculations involving all reactions of the entire GSMN, but only the reactions of interest to the users are displayed in a format, which is the most informative for them

Conclusions
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