Welcome to MetaDraft

MetaDraft logo

MetaDraft 0.9.2 has now been released. MetaDraft is a full featured GUI based platform for the reconstruction of genome-scale metabolic models. Utilizing a continuously updated, user extendable database of template models MetaDraft provides a stable yet flexible reconstruction workbench for a wide variety of users.

MetaDraft supports the latest Systems Biology standards including SBML Level 3 FBC, Groups, annotations and COMBINE OMEX archives.

 

MetaDraft forms part of CBMPy MetaToolkit developed in the Systems Bioinformatics Group at the Vrije Universiteit Amsterdam.


Technology

Metadraft is developed as utilizing Python and Qt thus taking advantage of both platforms cross-platform capabilities and extensibility. MetaDraft makes extensive use of the CBMPy modelling platform.

Standards support

MetaDraft is fully compliant with and takes full advantage of the latest model encoding and storage standards in Systems Biology. This includes the SBML Level 3 FBC, Groups and COMBINE Archive standards.

Availability

MetaDraft is distributed as Open Source software and is available for download or can be cloned from GitHub

Documentation

Documentation for version 0.9.0 is now available

MetaDraft User Guide v0.9.0 (html) (pdf)

MetaDraft in action


Template screen

Flexible template selection

You have control over the number and ranking of template reactions

Gene selection screen

Gene, reaction, metabolites

Based on the all available annotation you have full control over what components are included in the final draft reconstruction.


Contact Us

Dr. Brett G. Olivier
Systems Bioinformatics
Vrije Universiteit Amsterdam, The Netherlands
Amsterdam, The Netherlands

E: b.g.oliver@vu.nl

About Us

This software is developed as part of the modelling activities of the Bas Teusink's Systems Bioinformatics group.

"Our group studies the molecular networks inside cells that give rise to cell behaviour. We focus on the principles and general understanding of how those networks adapt in response to environmental and genetic changes. We apply the insights and methods in a biotechnological and biomedical setting. We combine mathematical modelling, theory, and experiments."