This is the latest release of MetaDraft, a GUI-based, full featured tool for the reconstruction of genome-scale metabolic networks. Please visit the MetaDraft webpage for more details on using MetaDraft as well as additional resources. The readme file has detailed instructions on installing and configuring MetaDraft and its dependencies. To use MetaDraft, download the source code (.zip or .tar.gz) and unpack it. If you want the full template library, which is highly recommended, you should download the library archive (template-models-2019-1.zip) and extract it into the modeldb subdirectory of the MetaDraft root directory. After extraction, when MetaDraft loads it should display 2019-1 in the title bar. This release also adds improved handling of GPR associations which are completely resolved, improved SBML Level 3 FBC V2 output and all template model objective functions are now included as alternative objective functions in the reconstruction. If upgrading from a previous release please make sure to update your CBMPy version to at least 0.7.25 (available on PyPI and Anaconda cloud) or 0.8.0 for Python 3.7 or newer. MetaDraft also exports COMBINE archives which contain the model in both SBML FBCv2 and Excel formats as well as complete HTML pages containing the model makeup and description of each model component. This version of MetaDraft has been featured in a recently published comparison of reconstruction tools by Mendoza and colleagues The MetaDraft Team